WEBVTT
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Language: en
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in<00:00:08.960> recent<00:00:09.280> times<00:00:09.599> in<00:00:09.760> many<00:00:10.000> parts<00:00:10.320> of<00:00:10.400> the
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in recent times in many parts of the
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in recent times in many parts of the
world<00:00:10.800> we've<00:00:10.960> seen<00:00:11.200> enormous<00:00:11.840> increases<00:00:12.400> in
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world we've seen enormous increases in
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world we've seen enormous increases in
people's<00:00:12.960> incomes
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people's incomes
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people's incomes
because<00:00:14.559> output<00:00:14.960> has<00:00:15.040> been<00:00:15.280> rising<00:00:16.400> what's
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because output has been rising what's
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because output has been rising what's
caused<00:00:17.039> the<00:00:17.199> rise<00:00:17.520> in<00:00:17.680> output
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caused the rise in output
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caused the rise in output
perhaps<00:00:18.960> the<00:00:19.119> most<00:00:19.439> single<00:00:19.920> important<00:00:20.480> thing
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perhaps the most single important thing
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perhaps the most single important thing
is
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is
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is
increases<00:00:22.720> in<00:00:22.880> investment<00:00:24.320> more<00:00:24.640> capital
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increases in investment more capital
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increases in investment more capital
equipment<00:00:25.760> in
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equipment in
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equipment in
services<00:00:27.279> in<00:00:27.519> manufacturing
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services in manufacturing
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services in manufacturing
and<00:00:29.279> in<00:00:29.439> lower<00:00:29.840> income<00:00:30.160> societies
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and in lower income societies
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and in lower income societies
agriculture
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agriculture
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agriculture
has<00:00:32.800> generated<00:00:33.440> a<00:00:33.760> huge<00:00:34.320> rise<00:00:34.640> in<00:00:34.800> people's
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has generated a huge rise in people's
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has generated a huge rise in people's
well-being
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well-being
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well-being
if<00:00:37.760> something<00:00:38.480> causes<00:00:39.120> that<00:00:39.360> level<00:00:39.600> of<00:00:39.840> output
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if something causes that level of output
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if something causes that level of output
and<00:00:41.040> that<00:00:41.360> level<00:00:41.680> of<00:00:41.840> investment<00:00:42.320> to<00:00:42.559> fall
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and that level of investment to fall
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and that level of investment to fall
people<00:00:43.920> will<00:00:44.160> suffer
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people will suffer
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people will suffer
according<00:00:46.879> to<00:00:47.039> a<00:00:47.120> world<00:00:47.440> development<00:00:48.000> report
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according to a world development report
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according to a world development report
one<00:00:49.280> of<00:00:49.360> the<00:00:49.520> things<00:00:49.840> that<00:00:50.000> can<00:00:50.160> cause
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one of the things that can cause
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one of the things that can cause
investment<00:00:51.199> and<00:00:51.360> potential<00:00:51.920> output<00:00:52.239> to<00:00:52.480> fall
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investment and potential output to fall
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investment and potential output to fall
is<00:00:53.600> corruption<00:00:56.000> before<00:00:56.320> we<00:00:56.480> can<00:00:56.719> think<00:00:56.960> about
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is corruption before we can think about
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is corruption before we can think about
how<00:00:58.079> corruption<00:00:58.800> might<00:00:59.199> harm<00:00:59.600> investment
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how corruption might harm investment
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how corruption might harm investment
we<00:01:00.719> need<00:01:00.879> to<00:01:00.960> be<00:01:01.199> clear<00:01:01.520> about<00:01:01.760> what
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we need to be clear about what
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we need to be clear about what
investment<00:01:02.559> means
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investment means
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investment means
investment<00:01:05.280> is<00:01:05.519> often<00:01:06.080> used<00:01:07.040> in<00:01:07.200> the<00:01:07.360> popular
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investment is often used in the popular
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investment is often used in the popular
press
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press
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press
to<00:01:08.560> mean<00:01:09.200> the<00:01:09.360> purchase<00:01:10.000> of<00:01:10.479> stocks<00:01:10.880> and
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to mean the purchase of stocks and
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to mean the purchase of stocks and
shares<00:01:11.520> and<00:01:11.600> so<00:01:11.840> on
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shares and so on
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shares and so on
but<00:01:13.040> to<00:01:13.200> an<00:01:13.360> economist<00:01:15.040> investment<00:01:15.759> means<00:01:16.159> the
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but to an economist investment means the
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but to an economist investment means the
purchase
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purchase
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purchase
of<00:01:18.320> capital<00:01:19.040> items<00:01:20.080> machinery
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of capital items machinery
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of capital items machinery
buildings<00:01:22.320> and<00:01:22.560> so<00:01:22.799> on<00:01:23.280> where<00:01:23.680> output<00:01:24.159> is
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buildings and so on where output is
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buildings and so on where output is
produced
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produced
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produced
and<00:01:26.320> investment<00:01:26.880> is<00:01:27.040> incredibly<00:01:27.840> important
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and investment is incredibly important
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and investment is incredibly important
for<00:01:28.479> the<00:01:28.640> well-being<00:01:29.119> of<00:01:29.280> an<00:01:29.439> economy
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for the well-being of an economy
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for the well-being of an economy
if<00:01:31.040> something<00:01:32.000> causes<00:01:32.560> us<00:01:32.720> to<00:01:32.960> invest
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if something causes us to invest
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if something causes us to invest
less<00:01:34.159> as<00:01:34.320> a<00:01:34.400> society<00:01:35.360> if<00:01:35.520> there's<00:01:35.920> less
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less as a society if there's less
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less as a society if there's less
capital<00:01:37.119> equipment
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capital equipment
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capital equipment
then<00:01:38.400> we're<00:01:38.560> going<00:01:38.720> to<00:01:38.799> produce<00:01:39.280> less<00:01:39.920> output
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then we're going to produce less output
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then we're going to produce less output
and<00:01:41.040> if<00:01:41.200> we<00:01:41.360> produce<00:01:41.840> less
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and if we produce less
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and if we produce less
output<00:01:43.200> we're<00:01:43.360> going<00:01:43.520> to<00:01:43.600> be<00:01:43.840> worse<00:01:44.240> off
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output we're going to be worse off
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output we're going to be worse off
because<00:01:45.119> we've<00:01:45.360> got
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because we've got
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because we've got
less<00:01:46.399> goods<00:01:46.720> and<00:01:46.880> services<00:01:48.320> having<00:01:48.640> thought
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less goods and services having thought
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less goods and services having thought
about
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about
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about
what<00:01:49.920> investment<00:01:50.640> means<00:01:51.200> we're<00:01:51.360> now<00:01:51.600> in<00:01:51.680> a
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what investment means we're now in a
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what investment means we're now in a
position<00:01:52.159> to<00:01:52.320> think<00:01:52.560> about<00:01:52.960> how
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position to think about how
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position to think about how
an<00:01:53.759> increase<00:01:54.320> in<00:01:54.560> corruption<00:01:55.759> might<00:01:56.079> affect
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an increase in corruption might affect
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an increase in corruption might affect
investment<00:01:58.560> the<00:01:58.799> amount<00:01:59.360> of<00:01:59.840> capital
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investment the amount of capital
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investment the amount of capital
equipment
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equipment
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equipment
in<00:02:01.200> the<00:02:01.360> economy
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just<00:02:04.640> as<00:02:04.719> one<00:02:04.960> example<00:02:05.920> of<00:02:06.079> the<00:02:06.320> value<00:02:06.719> of
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just as one example of the value of
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just as one example of the value of
to<00:02:07.600> a<00:02:07.680> society<00:02:08.720> this<00:02:09.119> chicken<00:02:09.440> processing
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to a society this chicken processing
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to a society this chicken processing
plant<00:02:10.399> in<00:02:10.479> eastern<00:02:10.800> europe
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plant in eastern europe
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plant in eastern europe
invested<00:02:12.080> in<00:02:12.239> new<00:02:12.560> capital<00:02:13.120> equipment<00:02:13.599> four
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invested in new capital equipment four
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invested in new capital equipment four
years<00:02:14.160> ago
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years ago
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years ago
the<00:02:15.040> result<00:02:15.440> is<00:02:15.920> that<00:02:16.160> output<00:02:16.640> has<00:02:16.959> far<00:02:17.200> more
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the result is that output has far more
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the result is that output has far more
than<00:02:17.599> doubled
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than doubled
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than doubled
from<00:02:18.480> the<00:02:18.640> same<00:02:18.959> number<00:02:19.280> of<00:02:19.440> workers<00:02:20.720> raising
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from the same number of workers raising
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from the same number of workers raising
national
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national
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national
output<00:02:22.720> and<00:02:22.879> national<00:02:23.360> income<00:02:24.480> it's<00:02:24.800> been<00:02:24.959> so
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output and national income it's been so
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output and national income it's been so
successful
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successful
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successful
that<00:02:26.560> they're<00:02:26.879> now<00:02:27.200> investing<00:02:27.760> in<00:02:28.000> new
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that they're now investing in new
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that they're now investing in new
machinery<00:02:29.200> to<00:02:29.360> produce<00:02:29.840> related<00:02:30.400> products
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machinery to produce related products
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machinery to produce related products
such<00:02:31.360> as<00:02:31.599> sausages<00:02:32.560> and<00:02:32.720> other<00:02:32.879> food<00:02:33.200> products
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such as sausages and other food products
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such as sausages and other food products
and<00:02:34.160> hence<00:02:34.560> raise
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and hence raise
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and hence raise
economic<00:02:35.680> well-being<00:02:37.760> how<00:02:37.920> might<00:02:38.160> corruption
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economic well-being how might corruption
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economic well-being how might corruption
discourage<00:02:39.599> investment<00:02:41.360> well<00:02:41.599> in<00:02:41.680> many<00:02:42.000> ways
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discourage investment well in many ways
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discourage investment well in many ways
but<00:02:42.480> we'll<00:02:42.640> mention
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but we'll mention
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but we'll mention
two<00:02:44.000> first<00:02:45.040> bribes<00:02:45.519> to<00:02:45.760> officials
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two first bribes to officials
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two first bribes to officials
act<00:02:47.040> as<00:02:47.200> a<00:02:47.280> tax<00:02:47.599> on<00:02:47.840> profits<00:02:48.800> discouraging
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act as a tax on profits discouraging
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act as a tax on profits discouraging
marginal
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marginal
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marginal
investment<00:02:52.080> but<00:02:52.319> second<00:02:53.200> and<00:02:53.360> just<00:02:53.599> as
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investment but second and just as
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investment but second and just as
important
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important
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important
as<00:02:55.200> the<00:02:55.360> world<00:02:55.680> development<00:02:56.239> report<00:02:56.640> says
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as the world development report says
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as the world development report says
bribes<00:02:57.599> are<00:02:57.680> not<00:02:57.840> only<00:02:58.159> a<00:02:58.239> disincentive<00:02:59.040> to
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bribes are not only a disincentive to
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bribes are not only a disincentive to
further<00:02:59.599> investment
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further investment
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further investment
because<00:03:00.800> of<00:03:00.879> the<00:03:01.040> immediate<00:03:01.599> costs<00:03:02.720> but<00:03:02.959> also
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because of the immediate costs but also
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because of the immediate costs but also
because<00:03:03.680> they<00:03:03.920> entangle
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because they entangle
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because they entangle
businesses<00:03:05.200> in<00:03:05.519> quote<00:03:06.159> a<00:03:06.400> web<00:03:06.800> of
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businesses in quote a web of
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businesses in quote a web of
time-consuming
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time-consuming
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time-consuming
and<00:03:08.400> economically<00:03:09.200> unproductive<00:03:10.000> relations
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and economically unproductive relations
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and economically unproductive relations
what<00:03:11.760> is<00:03:11.920> going<00:03:12.239> to<00:03:12.640> prevent<00:03:13.120> them<00:03:13.360> from
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what is going to prevent them from
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what is going to prevent them from
investing
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investing
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investing
in<00:03:14.959> the<00:03:15.040> country<00:03:15.920> is<00:03:16.080> that<00:03:16.239> they<00:03:16.800> don't<00:03:17.120> really
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in the country is that they don't really
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in the country is that they don't really
know
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know
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know
the<00:03:18.159> rules<00:03:18.560> of<00:03:18.640> corruption<00:03:19.280> because<00:03:19.680> if
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the rules of corruption because if
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the rules of corruption because if
you're<00:03:20.239> acquainted<00:03:20.800> with<00:03:20.959> the<00:03:21.040> rules<00:03:21.440> it
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you're acquainted with the rules it
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you're acquainted with the rules it
becomes
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becomes
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becomes
very<00:03:22.800> easy<00:03:23.120> you<00:03:23.280> just<00:03:23.519> calculate<00:03:25.200> bribes
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very easy you just calculate bribes
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very easy you just calculate bribes
and<00:03:26.560> corruption<00:03:27.200> into<00:03:27.519> your<00:03:27.760> costs<00:03:28.799> and
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and corruption into your costs and
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and corruption into your costs and
if<00:03:29.440> you<00:03:29.599> know<00:03:30.239> uh<00:03:30.560> who<00:03:30.720> are<00:03:30.879> the<00:03:30.959> people<00:03:31.760> that
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if you know uh who are the people that
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if you know uh who are the people that
you're<00:03:32.159> supposed<00:03:32.560> to<00:03:32.799> pay
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you're supposed to pay
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you're supposed to pay
uh<00:03:34.159> to<00:03:35.120> it<00:03:35.519> it's<00:03:35.920> life<00:03:36.239> is<00:03:36.400> very<00:03:36.640> easy
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uh to it it's life is very easy
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uh to it it's life is very easy
but<00:03:37.840> if<00:03:37.920> you<00:03:38.080> don't<00:03:38.319> know<00:03:38.560> that<00:03:39.280> uh<00:03:39.760> you're
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but if you don't know that uh you're
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but if you don't know that uh you're
struggling
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struggling
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struggling
there's<00:03:41.360> no<00:03:41.519> way<00:03:41.760> to<00:03:41.920> go<00:03:42.080> around<00:03:44.840> it
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i'm<00:03:50.400> in<00:03:50.560> greece<00:03:51.440> which<00:03:51.680> is<00:03:51.840> reckoned<00:03:52.080> to<00:03:52.239> be
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i'm in greece which is reckoned to be
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i'm in greece which is reckoned to be
the<00:03:52.560> most<00:03:52.799> corrupt<00:03:53.200> country<00:03:53.680> in<00:03:53.760> the<00:03:53.920> eu
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the most corrupt country in the eu
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the most corrupt country in the eu
it's<00:03:55.280> reckoned<00:03:55.599> that<00:03:55.920> 500<00:03:56.480> to<00:03:56.840> 750<00:03:57.920> million
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it's reckoned that 500 to 750 million
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it's reckoned that 500 to 750 million
euros
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euros
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euros
changes<00:03:59.920> hands<00:04:00.319> in<00:04:00.400> the<00:04:00.560> form<00:04:00.799> of<00:04:00.959> bribes
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changes hands in the form of bribes
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changes hands in the form of bribes
involving<00:04:02.480> something<00:04:02.879> of
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involving something of
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involving something of
the<00:04:03.519> order<00:04:03.840> of<00:04:04.080> ten<00:04:04.400> percent<00:04:05.360> of<00:04:05.439> the
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the order of ten percent of the
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the order of ten percent of the
population<00:04:06.239> of<00:04:06.319> the<00:04:06.480> country
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population of the country
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population of the country
what<00:04:08.480> those<00:04:08.799> bribes<00:04:09.280> get<00:04:09.599> used<00:04:10.080> for<00:04:11.040> the<00:04:11.200> main
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what those bribes get used for the main
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what those bribes get used for the main
things
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things
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things
are<00:04:13.120> doctors<00:04:14.879> building<00:04:15.360> permits
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are doctors building permits
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are doctors building permits
and<00:04:16.639> perhaps<00:04:17.040> most<00:04:17.359> important<00:04:17.759> of<00:04:17.919> all<00:04:18.799> to
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and perhaps most important of all to
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and perhaps most important of all to
help<00:04:19.280> tax<00:04:19.600> evasion
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help tax evasion
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help tax evasion
you<00:04:21.759> give<00:04:21.919> the<00:04:22.079> tax<00:04:22.400> officials<00:04:22.880> some<00:04:23.040> money
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you give the tax officials some money
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you give the tax officials some money
and<00:04:23.840> then<00:04:24.000> you<00:04:24.160> pay<00:04:24.479> less<00:04:24.720> tax<00:04:24.960> for<00:04:25.120> the
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and then you pay less tax for the
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and then you pay less tax for the
government
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government
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government
relatively<00:04:27.520> few<00:04:27.840> people<00:04:28.160> in<00:04:28.240> greece<00:04:28.560> are
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relatively few people in greece are
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relatively few people in greece are
willing<00:04:28.960> to<00:04:29.120> talk<00:04:29.360> about<00:04:29.600> corruption
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willing to talk about corruption
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willing to talk about corruption
but<00:04:30.960> in<00:04:31.120> small<00:04:31.520> cafes<00:04:32.400> you<00:04:32.639> find<00:04:32.880> no<00:04:33.120> shortage
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but in small cafes you find no shortage
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but in small cafes you find no shortage
of<00:04:33.600> opinions
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of opinions
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of opinions
have<00:04:34.960> you<00:04:35.120> had<00:04:35.360> any<00:04:35.680> trouble<00:04:36.000> in<00:04:36.160> the<00:04:36.320> business
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have you had any trouble in the business
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have you had any trouble in the business
with<00:04:37.199> the
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with the
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with the
famous<00:04:38.639> fakiaki<00:04:39.840> has<00:04:40.240> have<00:04:40.400> i<00:04:40.560> pronounced
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famous fakiaki has have i pronounced
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famous fakiaki has have i pronounced
that<00:04:41.280> right
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that right
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that right
yeah<00:04:42.479> i<00:04:42.560> understand<00:04:42.880> with<00:04:43.040> me<00:04:43.360> this<00:04:43.520> is<00:04:43.680> mostly
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yeah i understand with me this is mostly
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yeah i understand with me this is mostly
in<00:04:44.639> the
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in the
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in the
tax<00:04:45.520> houses<00:04:46.240> and<00:04:46.560> in<00:04:46.720> the
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government<00:04:50.639> areas<00:04:51.120> you<00:04:51.280> know<00:04:51.840> such<00:04:52.080> like
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government areas you know such like
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government areas you know such like
hospitals
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hospitals
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hospitals
like<00:04:53.600> things<00:04:54.320> and<00:04:55.280> when<00:04:55.440> you<00:04:55.600> go<00:04:55.840> there
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like things and when you go there
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like things and when you go there
you<00:04:56.880> have<00:04:57.040> to<00:04:57.199> finish<00:04:57.520> something<00:04:58.800> to<00:04:58.960> do<00:04:59.120> your
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you have to finish something to do your
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you have to finish something to do your
to<00:04:59.759> do<00:04:59.919> your<00:05:00.080> business
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to do your business
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to do your business
you<00:05:00.960> give<00:05:01.759> under<00:05:02.160> the<00:05:02.240> table<00:05:03.280> this<00:05:03.520> was<00:05:03.759> your
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you give under the table this was your
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you give under the table this was your
name
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name
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name
if<00:05:05.680> you<00:05:05.759> have<00:05:06.000> problems<00:05:06.320> with<00:05:06.560> the<00:05:06.720> tax<00:05:06.960> house
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if you have problems with the tax house
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if you have problems with the tax house
let's<00:05:08.160> say<00:05:08.400> you<00:05:08.560> have<00:05:08.720> to<00:05:08.880> pay
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let's say you have to pay
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let's say you have to pay
a<00:05:09.600> hundred<00:05:09.840> thousand<00:05:10.240> euros<00:05:11.199> and<00:05:11.440> you<00:05:11.759> deal
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a hundred thousand euros and you deal
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a hundred thousand euros and you deal
with<00:05:12.320> the
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with the
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with the
tax<00:05:13.120> money<00:05:14.080> and<00:05:14.240> they<00:05:14.400> say<00:05:14.560> okay<00:05:15.039> you<00:05:15.120> can<00:05:15.280> pay
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tax money and they say okay you can pay
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tax money and they say okay you can pay
ten<00:05:15.759> thousand<00:05:16.080> euros<00:05:16.400> and<00:05:16.479> you<00:05:16.560> give<00:05:16.800> me
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ten thousand euros and you give me
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ten thousand euros and you give me
twenty<00:05:17.280> thousand<00:05:17.600> to<00:05:17.759> me
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twenty thousand to me
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twenty thousand to me
it's<00:05:18.639> obviously<00:05:19.520> you<00:05:19.759> have<00:05:19.919> to<00:05:20.080> benefit
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it's obviously you have to benefit
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it's obviously you have to benefit
about<00:05:22.639> ten<00:05:22.800> percent<00:05:23.199> of<00:05:23.360> citizens<00:05:23.919> pay<00:05:24.160> the
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about ten percent of citizens pay the
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about ten percent of citizens pay the
so-called
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so-called
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so-called
fakaliaki<00:05:26.639> little<00:05:27.039> envelopes<00:05:28.080> each<00:05:28.400> year
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fakaliaki little envelopes each year
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fakaliaki little envelopes each year
it<00:05:29.520> is<00:05:29.680> true<00:05:29.919> that<00:05:30.240> um<00:05:30.960> there<00:05:31.199> is<00:05:31.360> an<00:05:31.520> issue<00:05:31.840> of
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it is true that um there is an issue of
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it is true that um there is an issue of
of<00:05:32.800> corruption<00:05:33.600> in<00:05:33.840> in<00:05:34.000> greece<00:05:34.479> is<00:05:34.720> part<00:05:35.199> of
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of corruption in in greece is part of
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of corruption in in greece is part of
the<00:05:35.840> system<00:05:36.240> of<00:05:36.320> the<00:05:36.479> businesses
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the system of the businesses
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the system of the businesses
it's<00:05:37.759> not<00:05:38.000> a<00:05:38.160> cultural<00:05:39.039> issue<00:05:39.680> and<00:05:40.320> it<00:05:40.479> not
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it's not a cultural issue and it not
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it's not a cultural issue and it not
referred<00:05:41.120> doesn't<00:05:41.360> refer<00:05:41.759> only<00:05:42.160> to<00:05:42.320> greece
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referred doesn't refer only to greece
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referred doesn't refer only to greece
for<00:05:43.840> me<00:05:44.080> and<00:05:44.240> for<00:05:44.400> the<00:05:44.560> things<00:05:44.800> that<00:05:44.960> i<00:05:45.039> have
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for me and for the things that i have
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for me and for the things that i have
seen<00:05:45.440> and<00:05:45.600> i<00:05:45.680> have<00:05:45.840> investigated<00:05:46.639> is<00:05:46.880> more
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seen and i have investigated is more
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seen and i have investigated is more
a<00:05:47.520> structural<00:05:48.639> issue<00:05:49.360> which<00:05:49.600> means<00:05:49.919> that
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a structural issue which means that
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a structural issue which means that
the<00:05:50.639> system<00:05:51.120> is<00:05:51.600> developed<00:05:52.560> in
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the system is developed in
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the system is developed in
that<00:05:53.759> way<00:05:54.639> that<00:05:55.759> most<00:05:56.000> of<00:05:56.160> the<00:05:56.319> times<00:05:56.639> you
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that way that most of the times you
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that way that most of the times you
don't<00:05:57.120> have<00:05:57.360> any<00:05:57.600> other<00:05:57.840> option
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don't have any other option
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don't have any other option
than<00:06:00.639> to<00:06:01.120> try<00:06:01.600> to<00:06:01.840> find<00:06:02.880> other<00:06:03.199> ways
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than to try to find other ways
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than to try to find other ways
to<00:06:04.240> do<00:06:04.400> your<00:06:04.840> business<00:06:06.160> some
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to do your business some
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to do your business some
time<00:06:07.360> ago<00:06:07.680> some<00:06:07.919> years<00:06:08.160> ago<00:06:08.720> it<00:06:08.880> was<00:06:09.199> okay
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time ago some years ago it was okay
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time ago some years ago it was okay
normal<00:06:10.000> to<00:06:10.160> pay<00:06:10.319> if<00:06:10.479> i<00:06:10.560> can
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normal to pay if i can
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normal to pay if i can
give<00:06:11.360> money<00:06:11.680> under<00:06:11.840> the<00:06:12.000> table<00:06:12.639> now<00:06:12.960> people
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give money under the table now people
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give money under the table now people
are<00:06:13.360> afraid
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are afraid
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are afraid
all<00:06:14.319> these<00:06:14.560> people<00:06:14.880> in<00:06:14.960> the<00:06:15.039> government<00:06:15.440> are
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all these people in the government are
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all these people in the government are
afraid<00:06:16.080> and<00:06:16.319> they<00:06:16.560> don't<00:06:16.800> take<00:06:17.039> it<00:06:17.120> that<00:06:17.280> much
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afraid and they don't take it that much
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afraid and they don't take it that much
because<00:06:17.840> in<00:06:17.919> the<00:06:18.000> television<00:06:18.479> they<00:06:18.800> see
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because in the television they see
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because in the television they see
you<00:06:19.520> can<00:06:19.600> see<00:06:19.759> your<00:06:19.919> face<00:06:20.240> if<00:06:20.319> you<00:06:20.479> take
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you can see your face if you take
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you can see your face if you take
[ __ ]<00:06:20.960> like<00:06:21.280> that<00:06:21.440> they<00:06:21.759> have<00:06:22.000> the<00:06:22.080> other
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[ __ ] like that they have the other
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[ __ ] like that they have the other
day
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day
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day
the<00:06:23.280> people<00:06:23.520> that<00:06:23.680> take<00:06:23.919> the<00:06:24.000> money<00:06:24.240> are
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the people that take the money are
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the people that take the money are
afraid<00:06:24.720> of<00:06:25.520> it<00:06:25.680> is<00:06:25.840> very<00:06:26.080> because<00:06:26.400> you<00:06:26.560> go
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afraid of it is very because you go
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afraid of it is very because you go
straight<00:06:27.039> to<00:06:27.199> the<00:06:27.280> jail<00:06:27.520> now<00:06:27.759> and<00:06:28.160> they<00:06:28.400> are
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straight to the jail now and they are
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straight to the jail now and they are
afraid
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afraid
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afraid
but<00:06:30.160> even<00:06:30.400> countries<00:06:30.880> perceived<00:06:31.360> as
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but even countries perceived as
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but even countries perceived as
relatively<00:06:32.080> free<00:06:32.319> of<00:06:32.479> corruption
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relatively free of corruption
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relatively free of corruption
have<00:06:33.520> some<00:06:33.759> problems<00:06:35.440> does<00:06:35.600> greece<00:06:35.840> have<00:06:36.080> a
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have some problems does greece have a
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have some problems does greece have a
problem<00:06:36.560> yes<00:06:36.800> it<00:06:36.960> does
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problem yes it does
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problem yes it does
do<00:06:37.840> the<00:06:38.000> surrounding<00:06:38.560> countries<00:06:38.960> have<00:06:39.199> a
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do the surrounding countries have a
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do the surrounding countries have a
problem<00:06:40.000> yes<00:06:40.240> they<00:06:40.479> do
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problem yes they do
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problem yes they do
does<00:06:42.639> the<00:06:42.880> uk<00:06:43.360> have<00:06:43.520> a<00:06:43.680> problem
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does the uk have a problem
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does the uk have a problem
yes<00:06:44.479> they<00:06:44.639> do<00:06:44.960> but<00:06:45.120> we<00:06:45.280> call<00:06:45.520> it<00:06:45.680> lobbying<00:06:46.639> we
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yes they do but we call it lobbying we
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yes they do but we call it lobbying we
don't<00:06:46.960> call<00:06:47.199> it<00:06:47.280> corruption
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don't call it corruption
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don't call it corruption
all<00:06:49.039> the<00:06:49.120> evidence<00:06:49.520> suggests<00:06:50.000> that<00:06:50.160> there's
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all the evidence suggests that there's
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all the evidence suggests that there's
corruption<00:06:50.880> in<00:06:50.960> just<00:06:51.199> about<00:06:51.440> all<00:06:51.680> societies
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corruption in just about all societies
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corruption in just about all societies
but<00:06:52.960> it<00:06:53.120> varies<00:06:53.599> hugely<00:06:55.120> in<00:06:55.280> places<00:06:55.599> like
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but it varies hugely in places like
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but it varies hugely in places like
scandinavia<00:06:56.560> it's<00:06:56.800> clearly<00:06:57.120> very<00:06:57.440> low
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scandinavia it's clearly very low
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scandinavia it's clearly very low
but<00:06:58.160> it<00:06:58.240> still<00:06:58.560> exists<00:07:00.000> but<00:07:00.160> even<00:07:00.479> places<00:07:00.880> like
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but it still exists but even places like
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but it still exists but even places like
this<00:07:01.280> are<00:07:01.440> of<00:07:01.599> interest<00:07:01.919> to<00:07:02.080> the<00:07:02.160> world<00:07:02.479> bank
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this are of interest to the world bank
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this are of interest to the world bank
because<00:07:03.599> if<00:07:03.759> we<00:07:03.919> can<00:07:04.160> look<00:07:04.400> at<00:07:04.560> a<00:07:04.800> range<00:07:05.120> of
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because if we can look at a range of
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because if we can look at a range of
countries<00:07:06.160> countries<00:07:06.639> where<00:07:06.800> corruption<00:07:07.360> is
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countries countries where corruption is
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countries countries where corruption is
relatively<00:07:08.160> high
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relatively high
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relatively high
but<00:07:09.039> also<00:07:09.280> where<00:07:09.520> it's<00:07:09.759> relatively<00:07:10.319> low<00:07:11.120> we
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but also where it's relatively low we
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but also where it's relatively low we
can<00:07:11.440> have<00:07:11.680> a<00:07:11.840> much
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can have a much
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can have a much
stronger<00:07:12.880> idea<00:07:13.599> of<00:07:13.759> the<00:07:13.919> link<00:07:14.560> between
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stronger idea of the link between
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stronger idea of the link between
corruption<00:07:15.840> and<00:07:15.919> the<00:07:16.080> level<00:07:16.319> of<00:07:16.479> investment
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corruption and the level of investment
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corruption and the level of investment
well<00:07:18.160> i<00:07:18.479> think<00:07:19.039> all<00:07:19.360> kind<00:07:19.599> of<00:07:19.759> corruption<00:07:20.720> is
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well i think all kind of corruption is
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well i think all kind of corruption is
negative<00:07:21.840> for<00:07:22.000> the<00:07:22.080> society<00:07:23.039> well<00:07:23.280> a<00:07:23.440> society
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negative for the society well a society
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negative for the society well a society
that<00:07:24.240> says<00:07:24.560> we<00:07:24.720> have<00:07:24.880> no<00:07:25.120> problem<00:07:25.440> with
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that says we have no problem with
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that says we have no problem with
corruption
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corruption
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corruption
are<00:07:26.800> truly<00:07:27.520> corrupt
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are truly corrupt
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are truly corrupt
but<00:07:30.000> what's<00:07:30.400> important<00:07:31.039> is<00:07:31.199> to<00:07:31.360> be<00:07:31.520> aware
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but what's important is to be aware
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but what's important is to be aware
where<00:07:32.560> there<00:07:32.720> are<00:07:32.960> risk
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where there are risk
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where there are risk
and<00:07:33.680> that<00:07:33.840> there<00:07:34.160> are<00:07:34.400> risks<00:07:34.720> for<00:07:34.880> corruption
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and that there are risks for corruption
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and that there are risks for corruption
and<00:07:35.919> have<00:07:36.160> a<00:07:36.319> system<00:07:36.720> that's
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and have a system that's
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and have a system that's
transparent<00:07:38.880> we<00:07:39.039> need<00:07:39.199> to<00:07:39.360> look<00:07:39.520> at<00:07:39.599> such
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transparent we need to look at such
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transparent we need to look at such
countries<00:07:40.400> as<00:07:40.560> well<00:07:40.720> as<00:07:40.880> the<00:07:41.039> more<00:07:41.280> corrupt
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countries as well as the more corrupt
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countries as well as the more corrupt
in<00:07:42.319> order<00:07:42.560> to<00:07:42.639> make<00:07:42.880> comparisons<00:07:44.000> and<00:07:44.240> to<00:07:44.400> see
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in order to make comparisons and to see
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in order to make comparisons and to see
if<00:07:44.720> these<00:07:44.960> countries
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if these countries
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if these countries
have<00:07:45.919> relatively<00:07:46.479> high<00:07:46.720> levels<00:07:47.039> of
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have relatively high levels of
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have relatively high levels of
investment<00:07:48.319> so<00:07:48.560> just<00:07:48.800> how<00:07:49.039> much<00:07:49.280> does
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investment so just how much does
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investment so just how much does
corruption<00:07:50.000> affect<00:07:50.400> society's<00:07:51.039> well-being
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corruption affect society's well-being
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corruption affect society's well-being
and<00:07:52.240> in<00:07:52.400> particular<00:07:53.280> to<00:07:53.440> what<00:07:53.680> extent<00:07:54.080> does<00:07:54.319> it
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and in particular to what extent does it
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and in particular to what extent does it
affect<00:07:54.800> the<00:07:54.879> amount<00:07:55.199> of<00:07:55.360> investment<00:07:55.840> in
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affect the amount of investment in
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affect the amount of investment in
society
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society
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society
the<00:07:58.560> world<00:07:58.800> bank<00:07:59.120> undertook<00:07:59.599> a<00:07:59.680> regression
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the world bank undertook a regression
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the world bank undertook a regression
analysis<00:08:00.960> to<00:08:01.199> try<00:08:01.440> to<00:08:01.599> determine<00:08:02.080> the<00:08:02.240> effect
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analysis to try to determine the effect
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analysis to try to determine the effect
of<00:08:02.639> corruption<00:08:03.280> on<00:08:03.520> investment<00:08:04.160> levels
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of corruption on investment levels
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of corruption on investment levels
the<00:08:05.120> results<00:08:05.520> of<00:08:05.599> that<00:08:05.840> analysis<00:08:06.720> are
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the results of that analysis are
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the results of that analysis are
presented<00:08:07.440> in<00:08:07.520> the<00:08:07.680> table
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presented in the table
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presented in the table
the<00:08:09.520> dependent<00:08:10.080> variable<00:08:10.720> investment<00:08:11.680> is
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the dependent variable investment is
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the dependent variable investment is
actually
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actually
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actually
investment<00:08:13.039> divided<00:08:13.520> by<00:08:13.840> gdp<00:08:14.479> gross<00:08:14.800> domestic
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investment divided by gdp gross domestic
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investment divided by gdp gross domestic
product
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product
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product
in<00:08:16.319> other<00:08:16.479> words<00:08:17.120> investment<00:08:17.759> is<00:08:17.840> a
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in other words investment is a
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in other words investment is a
proportion<00:08:18.560> of<00:08:18.720> output
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proportion of output
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proportion of output
although<00:08:20.160> for<00:08:20.319> simplicity<00:08:21.120> we'll<00:08:21.360> now<00:08:21.520> refer
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although for simplicity we'll now refer
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although for simplicity we'll now refer
to<00:08:22.080> it<00:08:22.240> just<00:08:22.479> as
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to it just as
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to it just as
investment<00:08:24.879> of<00:08:25.039> the<00:08:25.199> independent<00:08:25.840> variables
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investment of the independent variables
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investment of the independent variables
the<00:08:27.440> level<00:08:27.759> of<00:08:27.840> corruption<00:08:28.479> is<00:08:28.639> based<00:08:29.039> on
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the level of corruption is based on
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the level of corruption is based on
surveys<00:08:29.919> of<00:08:30.080> businesses
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surveys of businesses
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surveys of businesses
that<00:08:31.120> deal<00:08:31.440> in<00:08:31.520> the<00:08:31.759> 39<00:08:32.320> countries<00:08:32.880> the<00:08:32.959> world
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that deal in the 39 countries the world
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that deal in the 39 countries the world
bank<00:08:33.519> study<00:08:33.919> looked<00:08:34.240> at
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bank study looked at
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bank study looked at
the<00:08:36.320> predictability<00:08:37.279> of<00:08:37.440> corruption<00:08:38.159> was
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the predictability of corruption was
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the predictability of corruption was
found<00:08:38.719> in<00:08:38.800> the<00:08:38.959> same<00:08:39.279> way
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found in the same way
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found in the same way
secondary<00:08:42.000> school<00:08:42.320> enrollment<00:08:43.039> is
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secondary school enrollment is
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secondary school enrollment is
self-explanatory
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self-explanatory
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self-explanatory
initial<00:08:45.760> gdp<00:08:46.399> per<00:08:46.640> capita<00:08:47.279> is<00:08:47.519> the<00:08:47.680> initial
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initial gdp per capita is the initial
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initial gdp per capita is the initial
output<00:08:48.480> per<00:08:48.720> head<00:08:48.959> at<00:08:49.040> the<00:08:49.200> beginning<00:08:49.600> of<00:08:49.680> the
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output per head at the beginning of the
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output per head at the beginning of the
period<00:08:50.320> studied
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period studied
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period studied
policy<00:08:52.160> distortion<00:08:53.120> is<00:08:53.279> a<00:08:53.440> measure<00:08:53.839> of<00:08:54.000> how
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policy distortion is a measure of how
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policy distortion is a measure of how
badly<00:08:54.959> economic<00:08:55.600> policy<00:08:56.080> is<00:08:56.240> conducted
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badly economic policy is conducted
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badly economic policy is conducted
the<00:08:59.040> numbers<00:08:59.360> in<00:08:59.440> the<00:08:59.600> parentheses<00:09:00.800> are<00:09:00.880> the
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the numbers in the parentheses are the
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the numbers in the parentheses are the
standard<00:09:01.519> errors
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standard errors
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standard errors
associated<00:09:02.720> with<00:09:02.959> each<00:09:03.120> of<00:09:03.200> the<00:09:03.360> regression
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associated with each of the regression
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associated with each of the regression
coefficients
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coefficients
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coefficients
so<00:09:05.920> what<00:09:06.080> does<00:09:06.240> all<00:09:06.399> this<00:09:06.640> information<00:09:07.360> tell
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so what does all this information tell
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so what does all this information tell
us
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estimation<00:09:11.440> is<00:09:11.760> by<00:09:12.000> the<00:09:12.160> ordinary<00:09:12.720> least
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estimation is by the ordinary least
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estimation is by the ordinary least
squares<00:09:13.680> method
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squares method
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squares method
so<00:09:15.200> the<00:09:15.360> regression<00:09:16.320> won't<00:09:16.640> pick<00:09:16.959> up<00:09:17.200> any
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so the regression won't pick up any
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so the regression won't pick up any
relationships<00:09:18.240> that<00:09:18.399> are<00:09:18.560> there
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relationships that are there
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relationships that are there
that<00:09:19.680> are<00:09:19.920> not<00:09:20.839> linear
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that are not linear
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that are not linear
now<00:09:23.040> first<00:09:23.839> let's<00:09:24.080> look<00:09:24.240> at<00:09:24.399> the<00:09:24.560> signs<00:09:25.040> for
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now first let's look at the signs for
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now first let's look at the signs for
the<00:09:25.360> coefficients
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as<00:09:28.800> we've<00:09:29.040> explained<00:09:30.080> we<00:09:30.240> would<00:09:30.480> have
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as we've explained we would have
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as we've explained we would have
anticipated<00:09:31.519> that<00:09:31.760> corruption
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anticipated that corruption
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anticipated that corruption
harms<00:09:32.959> investment<00:09:33.920> the<00:09:34.080> greater<00:09:34.480> the
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harms investment the greater the
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harms investment the greater the
corruption<00:09:35.440> the<00:09:35.600> lower<00:09:35.920> the<00:09:36.000> level<00:09:36.320> of
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corruption the lower the level of
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corruption the lower the level of
investment
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investment
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investment
so<00:09:37.600> we<00:09:37.760> would<00:09:38.000> expect<00:09:38.320> the<00:09:38.480> coefficient<00:09:39.120> to
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so we would expect the coefficient to
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so we would expect the coefficient to
have<00:09:39.519> a<00:09:39.600> minus<00:09:40.080> sign
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have a minus sign
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have a minus sign
and<00:09:41.519> it<00:09:41.680> does
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the<00:09:44.880> next<00:09:45.120> variable<00:09:45.680> is<00:09:45.839> the<00:09:46.080> predictability
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the next variable is the predictability
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the next variable is the predictability
of<00:09:47.200> corruption
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of corruption
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of corruption
where<00:09:48.480> the<00:09:48.640> coefficient<00:09:49.200> has<00:09:49.440> a<00:09:49.600> positive
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where the coefficient has a positive
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where the coefficient has a positive
sign
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sign
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sign
all<00:09:51.839> other<00:09:52.000> things<00:09:52.320> being<00:09:52.640> equal<00:09:53.519> the<00:09:53.760> more
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all other things being equal the more
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all other things being equal the more
predictable<00:09:54.800> the<00:09:54.959> corruption
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predictable the corruption
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predictable the corruption
the<00:09:56.640> greater<00:09:57.120> the<00:09:57.279> investment
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you<00:10:00.640> may<00:10:00.800> have<00:10:00.880> been<00:10:01.120> surprised<00:10:02.480> by<00:10:02.720> the
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you may have been surprised by the
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you may have been surprised by the
result<00:10:03.279> we<00:10:03.440> got<00:10:03.680> for<00:10:03.839> the
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result we got for the
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result we got for the
predictability<00:10:05.200> of<00:10:05.360> corruption<00:10:06.720> but
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predictability of corruption but
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predictability of corruption but
actually<00:10:07.279> if<00:10:07.360> you<00:10:07.519> think<00:10:07.760> about<00:10:08.000> it<00:10:08.240> carefully
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actually if you think about it carefully
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actually if you think about it carefully
it<00:10:09.279> becomes<00:10:09.760> fairly<00:10:10.079> clear<00:10:10.720> imagine<00:10:11.279> two
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it becomes fairly clear imagine two
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it becomes fairly clear imagine two
countries
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countries
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countries
each<00:10:12.560> with<00:10:12.720> the<00:10:12.880> same<00:10:13.279> level<00:10:13.600> of<00:10:13.680> corruption
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each with the same level of corruption
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each with the same level of corruption
but<00:10:15.040> in<00:10:15.200> one<00:10:15.519> country
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but in one country
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but in one country
it's<00:10:16.640> more<00:10:17.040> predictable<00:10:18.800> then<00:10:19.040> they're<00:10:19.279> more
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it's more predictable then they're more
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it's more predictable then they're more
likely<00:10:20.079> to<00:10:20.240> get<00:10:20.480> investment
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likely to get investment
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likely to get investment
in<00:10:21.440> that<00:10:21.760> country<00:10:22.480> because<00:10:23.760> one<00:10:24.000> of<00:10:24.079> the
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in that country because one of the
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in that country because one of the
things<00:10:24.480> that
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things that
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things that
businessmen<00:10:25.519> hate<00:10:26.399> is<00:10:26.839> uncertainty
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businessmen hate is uncertainty
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businessmen hate is uncertainty
if<00:10:28.720> you<00:10:28.959> have<00:10:29.680> a<00:10:30.000> stable<00:10:30.480> level<00:10:30.800> of<00:10:30.959> corruption
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if you have a stable level of corruption
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if you have a stable level of corruption
at<00:10:31.680> a<00:10:31.839> very<00:10:32.160> high<00:10:32.399> level
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at a very high level
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at a very high level
i<00:10:33.279> know<00:10:33.440> what<00:10:33.600> i'm<00:10:33.760> playing<00:10:34.079> with<00:10:34.959> if<00:10:35.120> i<00:10:35.200> have<00:10:35.360> a
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i know what i'm playing with if i have a
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i know what i'm playing with if i have a
very<00:10:35.760> stable<00:10:36.240> level<00:10:36.480> of<00:10:36.640> corruption<00:10:37.040> at<00:10:37.200> a
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very stable level of corruption at a
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very stable level of corruption at a
very<00:10:37.519> low<00:10:37.760> level
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very low level
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very low level
i<00:10:38.560> also<00:10:38.800> know<00:10:38.959> what<00:10:39.120> i'm<00:10:39.279> playing<00:10:39.440> with<00:10:40.000> we
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i also know what i'm playing with we
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i also know what i'm playing with we
want<00:10:40.560> stability<00:10:41.120> why<00:10:41.360> it<00:10:41.440> gives<00:10:41.680> us
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want stability why it gives us
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want stability why it gives us
predictability
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predictability
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predictability
corruption<00:10:44.079> practice<00:10:44.720> or<00:10:45.200> any<00:10:45.519> practice<00:10:46.000> that
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corruption practice or any practice that
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corruption practice or any practice that
can<00:10:46.320> be<00:10:46.480> considered<00:10:47.040> as<00:10:47.200> corrupted
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can be considered as corrupted
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can be considered as corrupted
it<00:10:48.480> is<00:10:49.120> part<00:10:49.680> of<00:10:50.240> the<00:10:50.560> informal
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it is part of the informal
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it is part of the informal
business<00:10:52.240> plan<00:10:52.720> of<00:10:53.920> multinational<00:10:54.800> or
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business plan of multinational or
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business plan of multinational or
international<00:10:56.480> company<00:10:57.120> or<00:10:57.279> a<00:10:57.360> small
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international company or a small
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international company or a small
immediate<00:10:58.079> enterprise
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immediate enterprise
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immediate enterprise
that<00:10:59.519> operates<00:11:00.160> here<00:11:01.120> so<00:11:01.279> if<00:11:01.360> they<00:11:01.600> don't<00:11:01.839> have
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that operates here so if they don't have
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that operates here so if they don't have
a<00:11:02.240> problem
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a problem
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a problem
about<00:11:03.519> the<00:11:03.959> uncertainty<00:11:05.279> with<00:11:05.519> regard<00:11:05.920> to<00:11:06.079> the
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about the uncertainty with regard to the
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about the uncertainty with regard to the
level<00:11:06.480> of<00:11:06.560> corruption
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level of corruption
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level of corruption
they're<00:11:07.920> more<00:11:08.320> likely<00:11:08.720> to<00:11:08.959> invest<00:11:09.279> in<00:11:09.360> that
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they're more likely to invest in that
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they're more likely to invest in that
economy
00:11:12.949 --> 00:11:12.959 align:start position:0%
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higher<00:11:13.279> levels<00:11:13.600> of<00:11:13.680> secondary<00:11:14.160> school
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higher levels of secondary school
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higher levels of secondary school
enrollment<00:11:14.959> suggest<00:11:15.440> a<00:11:15.519> better<00:11:15.920> educated
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enrollment suggest a better educated
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enrollment suggest a better educated
workforce
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workforce
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workforce
so<00:11:18.160> more<00:11:18.399> attractive<00:11:18.959> to<00:11:19.200> investors
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so more attractive to investors
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so more attractive to investors
therefore<00:11:20.959> we<00:11:21.040> would<00:11:21.200> expect<00:11:21.600> the
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therefore we would expect the
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therefore we would expect the
coefficient<00:11:22.320> to<00:11:22.399> be<00:11:22.560> positive
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coefficient to be positive
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coefficient to be positive
and<00:11:23.920> it<00:11:24.079> is<00:11:26.399> now<00:11:26.640> consider
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and it is now consider
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and it is now consider
initial<00:11:27.680> gdp<00:11:28.240> per<00:11:28.480> capita<00:11:29.920> we<00:11:30.079> would<00:11:30.320> expect
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initial gdp per capita we would expect
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initial gdp per capita we would expect
that<00:11:31.200> if<00:11:31.360> initial<00:11:31.760> output<00:11:32.160> per<00:11:32.320> head<00:11:32.560> is<00:11:32.800> low
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that if initial output per head is low
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that if initial output per head is low
at<00:11:33.200> the<00:11:33.279> beginning<00:11:33.680> of<00:11:33.760> the<00:11:33.920> period<00:11:34.399> studied
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at the beginning of the period studied
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at the beginning of the period studied
there's<00:11:35.279> more<00:11:35.519> potential<00:11:36.320> for<00:11:36.560> profitable
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there's more potential for profitable
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there's more potential for profitable
investment
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investment
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investment
so<00:11:38.240> the<00:11:38.480> minus<00:11:38.959> sign<00:11:39.200> of<00:11:39.279> the<00:11:39.440> coefficient<00:11:40.560> is
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so the minus sign of the coefficient is
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so the minus sign of the coefficient is
an<00:11:40.880> expected<00:11:41.440> one
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an expected one
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an expected one
finally<00:11:44.000> we<00:11:44.160> would<00:11:44.320> expect<00:11:44.720> that<00:11:44.880> the<00:11:45.040> greater
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finally we would expect that the greater
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finally we would expect that the greater
the<00:11:45.839> policy<00:11:46.399> distortion
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the policy distortion
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the policy distortion
that<00:11:47.440> is<00:11:48.000> the<00:11:48.240> worst<00:11:48.640> the<00:11:48.800> economic<00:11:49.440> policy
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that is the worst the economic policy
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that is the worst the economic policy
that's<00:11:50.160> being<00:11:50.399> conducted
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that's being conducted
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that's being conducted
the<00:11:51.760> less<00:11:52.000> keen<00:11:52.320> investors<00:11:52.880> will<00:11:53.120> be<00:11:53.920> we<00:11:54.079> would
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the less keen investors will be we would
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the less keen investors will be we would
expect<00:11:54.800> a<00:11:55.040> negative<00:11:55.440> coefficient
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expect a negative coefficient
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expect a negative coefficient
and<00:11:56.959> it<00:11:57.120> is<00:11:57.279> so<00:11:59.519> we<00:11:59.760> often<00:12:00.000> learn<00:12:00.240> something
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and it is so we often learn something
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and it is so we often learn something
about<00:12:00.800> the<00:12:00.959> relationship<00:12:01.519> between<00:12:01.839> the
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about the relationship between the
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about the relationship between the
dependent<00:12:02.720> and<00:12:02.800> the<00:12:03.040> independent<00:12:03.760> variables
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dependent and the independent variables
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dependent and the independent variables
by<00:12:05.120> looking<00:12:05.440> at<00:12:05.519> the<00:12:05.760> magnitude<00:12:06.320> of<00:12:06.480> the
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by looking at the magnitude of the
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by looking at the magnitude of the
coefficients
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coefficients
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coefficients
we<00:12:08.240> can<00:12:08.399> see<00:12:08.880> how<00:12:09.200> much<00:12:09.519> a<00:12:09.760> change<00:12:10.240> in<00:12:10.399> an
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we can see how much a change in an
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we can see how much a change in an
independent<00:12:11.200> variable
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independent variable
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independent variable
affects<00:12:12.480> the<00:12:12.639> dependent<00:12:13.200> variable
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affects the dependent variable
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affects the dependent variable
but<00:12:15.440> the<00:12:15.600> report<00:12:16.399> doesn't<00:12:16.880> tell<00:12:17.120> us<00:12:17.279> the<00:12:17.440> units
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but the report doesn't tell us the units
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but the report doesn't tell us the units
of<00:12:18.000> measurement
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of measurement
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of measurement
so<00:12:19.839> here<00:12:20.320> we've<00:12:20.560> only<00:12:20.800> been<00:12:21.040> able<00:12:21.279> to<00:12:21.440> comment
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so here we've only been able to comment
00:12:21.839 --> 00:12:25.110 align:start position:0%
so here we've only been able to comment
on<00:12:21.920> the<00:12:22.160> signs<00:12:22.720> of<00:12:22.800> the<00:12:22.959> coefficients
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on the signs of the coefficients
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on the signs of the coefficients
now<00:12:25.279> to<00:12:25.360> enter<00:12:25.680> the<00:12:25.839> term<00:12:26.399> r<00:12:26.720> squared<00:12:27.760> this<00:12:28.000> is
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now to enter the term r squared this is
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now to enter the term r squared this is
often<00:12:28.480> called<00:12:28.720> the<00:12:28.880> coefficient<00:12:29.519> of
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often called the coefficient of
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often called the coefficient of
determination
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determination
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determination
it<00:12:31.200> tells<00:12:31.519> us<00:12:31.680> the<00:12:31.839> percentage<00:12:32.399> of<00:12:32.480> the
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it tells us the percentage of the
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it tells us the percentage of the
variations<00:12:33.440> in<00:12:33.519> the<00:12:33.680> dependent<00:12:34.240> variable
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variations in the dependent variable
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variations in the dependent variable
that<00:12:35.360> can<00:12:35.519> be<00:12:35.680> explained<00:12:36.160> by<00:12:36.480> variations<00:12:37.200> in
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that can be explained by variations in
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that can be explained by variations in
the<00:12:37.440> independent<00:12:38.079> variables
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the independent variables
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the independent variables
here<00:12:40.160> 24<00:12:41.120> of<00:12:41.200> the<00:12:41.360> variations<00:12:42.160> in<00:12:42.320> investment
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here 24 of the variations in investment
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here 24 of the variations in investment
as<00:12:43.040> a<00:12:43.120> proportion<00:12:43.680> of<00:12:43.760> gdp
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as a proportion of gdp
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as a proportion of gdp
in<00:12:44.880> these<00:12:45.200> 39<00:12:45.839> countries<00:12:46.720> can<00:12:46.959> be<00:12:47.200> explained
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in these 39 countries can be explained
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in these 39 countries can be explained
by
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by
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by
variations<00:12:49.200> in<00:12:49.360> the<00:12:49.600> items<00:12:50.000> that<00:12:50.160> we've
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variations in the items that we've
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variations in the items that we've
mentioned<00:12:50.839> above
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mentioned above
00:12:53.839 --> 00:12:55.350 align:start position:0%
mentioned above
now<00:12:54.000> we<00:12:54.079> need<00:12:54.240> to<00:12:54.320> focus<00:12:54.639> on<00:12:54.800> the<00:12:54.880> numbers<00:12:55.279> in
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now we need to focus on the numbers in
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now we need to focus on the numbers in
parentheses<00:12:56.079> the<00:12:56.480> standard<00:12:57.120> errors
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parentheses the standard errors
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parentheses the standard errors
associated<00:12:58.800> with<00:12:58.959> each<00:12:59.200> of<00:12:59.279> the<00:12:59.440> explanatory
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associated with each of the explanatory
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associated with each of the explanatory
variables
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variables
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variables
these<00:13:02.000> enable<00:13:02.399> us<00:13:02.560> to<00:13:02.639> see<00:13:02.880> how<00:13:03.040> much<00:13:03.360> trust<00:13:03.680> we
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these enable us to see how much trust we
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these enable us to see how much trust we
can<00:13:04.000> put<00:13:04.240> in<00:13:04.320> the<00:13:04.480> size<00:13:04.800> of<00:13:04.880> the<00:13:04.959> coefficients
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can put in the size of the coefficients
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can put in the size of the coefficients
let's<00:13:07.120> see<00:13:07.279> how<00:13:07.440> that<00:13:07.680> works<00:13:08.000> for<00:13:08.160> the<00:13:08.240> level
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let's see how that works for the level
00:13:08.480 --> 00:13:09.910 align:start position:0%
let's see how that works for the level
of<00:13:08.639> corruption
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of corruption
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of corruption
step<00:13:10.320> one<00:13:11.200> is<00:13:11.279> to<00:13:11.440> produce<00:13:11.839> a<00:13:12.240> t<00:13:12.480> statistic
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step one is to produce a t statistic
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step one is to produce a t statistic
we<00:13:13.760> do<00:13:13.920> this<00:13:14.160> by<00:13:14.320> dividing<00:13:14.800> the<00:13:14.959> coefficient
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we do this by dividing the coefficient
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we do this by dividing the coefficient
by<00:13:16.000> the<00:13:16.160> standard<00:13:16.560> error
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by the standard error
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by the standard error
so<00:13:17.600> to<00:13:17.760> two<00:13:18.000> decimal<00:13:18.399> places<00:13:19.600> 5.8
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so to two decimal places 5.8
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so to two decimal places 5.8
divided<00:13:21.680> by<00:13:21.920> 2.2<00:13:23.519> gives<00:13:23.839> a<00:13:23.920> t<00:13:24.160> statistic
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divided by 2.2 gives a t statistic
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divided by 2.2 gives a t statistic
of<00:13:25.399> 2.64<00:13:27.279> step<00:13:27.680> two
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of 2.64 step two
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of 2.64 step two
is<00:13:28.800> to<00:13:28.959> decide<00:13:29.360> on<00:13:29.519> the<00:13:29.600> level<00:13:29.839> of
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is to decide on the level of
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is to decide on the level of
significance<00:13:31.600> we'll<00:13:31.920> use
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significance we'll use
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significance we'll use
five<00:13:32.959> percent<00:13:34.000> that's<00:13:34.320> not<00:13:34.480> the<00:13:34.639> only
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five percent that's not the only
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five percent that's not the only
possible<00:13:35.440> choice
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possible choice
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possible choice
but<00:13:36.399> it<00:13:36.560> is<00:13:36.720> the<00:13:36.800> most<00:13:37.120> common<00:13:37.440> one
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but it is the most common one
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but it is the most common one
step<00:13:39.600> three<00:13:40.480> is<00:13:40.639> to<00:13:40.800> work<00:13:41.120> out<00:13:41.279> how<00:13:41.440> many
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step three is to work out how many
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step three is to work out how many
degrees<00:13:42.160> of<00:13:42.240> freedom<00:13:42.639> we<00:13:42.800> have
00:13:43.910 --> 00:13:43.920 align:start position:0%
degrees of freedom we have
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degrees of freedom we have
this<00:13:44.160> we<00:13:44.399> find<00:13:44.720> by<00:13:44.880> subtracting<00:13:45.519> the<00:13:45.680> number
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this we find by subtracting the number
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this we find by subtracting the number
of<00:13:46.160> independent<00:13:46.880> variables
00:13:48.069 --> 00:13:48.079 align:start position:0%
of independent variables
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of independent variables
from<00:13:48.320> the<00:13:48.399> number<00:13:48.720> of<00:13:48.880> observations
00:13:51.829 --> 00:13:51.839 align:start position:0%
00:13:51.839 --> 00:13:55.110 align:start position:0%
in<00:13:52.000> our<00:13:52.240> case<00:13:52.480> with<00:13:52.720> 39<00:13:53.360> observations
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in our case with 39 observations
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in our case with 39 observations
six<00:13:55.600> independent<00:13:56.320> variables<00:13:58.000> so<00:13:58.320> 39
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six independent variables so 39
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six independent variables so 39
minus<00:14:00.399> 6<00:14:00.800> equals<00:14:01.600> 33<00:14:02.240> degrees<00:14:02.560> of<00:14:02.720> freedom
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00:14:05.600 --> 00:14:08.310 align:start position:0%
step<00:14:05.920> 4<00:14:06.800> is<00:14:06.880> to<00:14:07.040> look<00:14:07.279> up<00:14:07.440> a<00:14:07.519> value<00:14:07.839> in<00:14:08.000> the<00:14:08.079> t
00:14:08.310 --> 00:14:08.320 align:start position:0%
step 4 is to look up a value in the t
00:14:08.320 --> 00:14:09.110 align:start position:0%
step 4 is to look up a value in the t
tables
00:14:09.110 --> 00:14:09.120 align:start position:0%
tables
00:14:09.120 --> 00:14:11.430 align:start position:0%
tables
if<00:14:09.279> we<00:14:09.600> look<00:14:09.839> up<00:14:09.920> for<00:14:10.079> the<00:14:10.240> value<00:14:10.639> with<00:14:10.880> 33
00:14:11.430 --> 00:14:11.440 align:start position:0%
if we look up for the value with 33
00:14:11.440 --> 00:14:12.629 align:start position:0%
if we look up for the value with 33
degrees<00:14:11.839> of<00:14:11.920> freedom
00:14:12.629 --> 00:14:12.639 align:start position:0%
degrees of freedom
00:14:12.639 --> 00:14:15.269 align:start position:0%
degrees of freedom
and<00:14:12.800> we<00:14:12.959> want<00:14:13.199> a<00:14:13.360> significance<00:14:14.000> level<00:14:14.240> of<00:14:14.399> 5
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and we want a significance level of 5
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and we want a significance level of 5
iep
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iep
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iep
equals<00:14:16.639> 0.05<00:14:18.639> we<00:14:18.800> find<00:14:19.040> a<00:14:19.120> value<00:14:19.519> of
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equals 0.05 we find a value of
00:14:20.360 --> 00:14:24.389 align:start position:0%
equals 0.05 we find a value of
1.69
00:14:24.389 --> 00:14:24.399 align:start position:0%
00:14:24.399 --> 00:14:27.430 align:start position:0%
step<00:14:24.720> five<00:14:25.680> is<00:14:25.839> to<00:14:25.920> compare<00:14:26.480> our<00:14:26.639> computed<00:14:27.199> t
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step five is to compare our computed t
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step five is to compare our computed t
statistic<00:14:28.399> with<00:14:28.639> this<00:14:28.880> value<00:14:29.199> from<00:14:29.440> the<00:14:29.519> table
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statistic with this value from the table
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statistic with this value from the table
2.42<00:14:32.240> is<00:14:32.399> greater<00:14:32.720> than<00:14:32.920> 1.69
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2.42 is greater than 1.69
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2.42 is greater than 1.69
since<00:14:35.040> our<00:14:35.279> computed<00:14:35.839> value<00:14:36.639> is<00:14:36.880> greater<00:14:37.279> than
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since our computed value is greater than
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since our computed value is greater than
1.69
00:14:39.110 --> 00:14:39.120 align:start position:0%
1.69
00:14:39.120 --> 00:14:42.150 align:start position:0%
1.69
what<00:14:39.279> can<00:14:39.519> we<00:14:39.760> say<00:14:41.680> we<00:14:41.839> can
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what can we say we can
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what can we say we can
say<00:14:43.279> that<00:14:43.440> there's<00:14:43.760> only<00:14:44.079> a<00:14:44.320> five<00:14:44.720> percent
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say that there's only a five percent
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say that there's only a five percent
risk
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risk
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risk
of<00:14:46.320> concluding<00:14:46.880> that<00:14:47.120> the<00:14:47.279> underlying
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of concluding that the underlying
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of concluding that the underlying
coefficient<00:14:48.560> value
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coefficient value
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coefficient value
is<00:14:49.440> different<00:14:49.839> from<00:14:50.160> zero<00:14:50.720> when<00:14:50.880> it<00:14:51.120> isn't
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if<00:14:54.160> you<00:14:54.320> work<00:14:54.560> through<00:14:54.800> the<00:14:55.040> same<00:14:55.519> steps<00:14:55.920> with
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if you work through the same steps with
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if you work through the same steps with
each<00:14:56.240> of<00:14:56.320> the<00:14:56.560> other<00:14:56.800> variables
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each of the other variables
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each of the other variables
you'll<00:14:58.000> find<00:14:58.240> that<00:14:58.639> both<00:14:58.880> corruption
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you'll find that both corruption
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you'll find that both corruption
variables<00:15:00.160> are<00:15:00.320> significant
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variables are significant
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variables are significant
at<00:15:01.519> our<00:15:01.680> chosen<00:15:02.160> five<00:15:02.399> percent<00:15:02.800> level<00:15:03.839> but
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at our chosen five percent level but
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at our chosen five percent level but
none<00:15:04.480> of<00:15:04.560> the<00:15:04.720> other<00:15:04.959> variables
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none of the other variables
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none of the other variables
are<00:15:07.199> you<00:15:07.360> might<00:15:07.600> also<00:15:07.839> care<00:15:08.079> to<00:15:08.240> check<00:15:08.480> though
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are you might also care to check though
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are you might also care to check though
that<00:15:09.199> at<00:15:09.360> a<00:15:09.600> ten<00:15:09.839> percent<00:15:10.399> level<00:15:11.279> the<00:15:11.519> policy
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that at a ten percent level the policy
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that at a ten percent level the policy
distortion<00:15:12.639> variable<00:15:13.680> is<00:15:13.839> significant<00:15:14.480> also
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so<00:15:17.360> we<00:15:17.600> do<00:15:18.000> have<00:15:18.240> some<00:15:18.480> evidence<00:15:18.880> that
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so we do have some evidence that
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so we do have some evidence that
corruption<00:15:20.160> really<00:15:20.639> does<00:15:20.959> have<00:15:21.120> an<00:15:21.279> effect
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corruption really does have an effect
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corruption really does have an effect
on<00:15:22.399> investment<00:15:24.839> activity
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on investment activity
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on investment activity
although<00:15:27.440> the<00:15:27.600> evidence<00:15:27.920> from<00:15:28.079> our<00:15:28.240> study<00:15:28.639> is
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although the evidence from our study is
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although the evidence from our study is
not<00:15:29.120> very<00:15:29.519> strong
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not very strong
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not very strong
there<00:15:30.959> is<00:15:31.120> a<00:15:31.279> strong<00:15:31.680> a<00:15:31.920> priori<00:15:32.560> case<00:15:33.360> for<00:15:33.519> a
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there is a strong a priori case for a
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there is a strong a priori case for a
link
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link
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link
and<00:15:34.880> there<00:15:35.120> is<00:15:35.279> at<00:15:35.360> least<00:15:35.759> some<00:15:36.000> evidence<00:15:36.480> to
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and there is at least some evidence to
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and there is at least some evidence to
support<00:15:37.040> the<00:15:37.199> theory
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support the theory
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support the theory
this<00:15:39.519> suggests<00:15:40.000> that<00:15:40.160> attempts<00:15:40.480> to<00:15:40.639> control
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this suggests that attempts to control
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this suggests that attempts to control
corruption<00:15:42.079> are<00:15:42.320> important<00:15:42.880> in<00:15:43.040> all
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corruption are important in all
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corruption are important in all
societies
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societies
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societies
corruption<00:15:46.000> exists<00:15:46.560> in<00:15:47.120> in<00:15:47.199> the<00:15:47.360> eu
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corruption exists in in the eu
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corruption exists in in the eu
and<00:15:48.480> in<00:15:48.560> the<00:15:48.720> united<00:15:49.120> states<00:15:49.920> and<00:15:50.160> in<00:15:50.240> the<00:15:50.399> uk
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and in the united states and in the uk
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and in the united states and in the uk
but<00:15:51.920> it's<00:15:52.399> on<00:15:52.560> a<00:15:52.639> higher<00:15:52.959> level<00:15:53.440> an<00:15:53.600> ordinary
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but it's on a higher level an ordinary
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but it's on a higher level an ordinary
people<00:15:54.480> just
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people just
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people just
people<00:15:55.680> don't<00:15:56.000> don't<00:15:56.320> notice<00:15:56.800> it<00:15:57.759> they<00:15:57.920> don't
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people don't don't notice it they don't
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people don't don't notice it they don't
know<00:15:58.399> about<00:15:58.800> it
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know about it
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know about it
it<00:15:59.839> happens<00:16:00.240> on<00:16:00.399> a<00:16:00.880> very<00:16:01.199> high<00:16:01.680> governmental
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it happens on a very high governmental
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it happens on a very high governmental
level<00:16:04.000> you<00:16:04.160> can<00:16:04.399> i<00:16:04.480> can<00:16:04.720> you<00:16:04.800> know<00:16:04.959> i<00:16:05.040> can<00:16:05.199> t<00:16:05.440> i
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level you can i can you know i can t i
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level you can i can you know i can t i
can<00:16:05.759> go<00:16:05.920> into<00:16:06.240> many<00:16:06.480> developed<00:16:06.959> economy
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can go into many developed economy
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can go into many developed economy
perspectives<00:16:08.160> where
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perspectives where
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perspectives where
again<00:16:08.880> i<00:16:08.959> use<00:16:09.199> the<00:16:09.279> term<00:16:09.600> lobbying<00:16:10.480> okay<00:16:10.959> i'm
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again i use the term lobbying okay i'm
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again i use the term lobbying okay i'm
pushing<00:16:11.759> things<00:16:12.160> is<00:16:12.320> it
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pushing things is it
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pushing things is it
is<00:16:12.720> it<00:16:12.880> corruption<00:16:13.519> to<00:16:14.079> to<00:16:14.240> give<00:16:14.480> somebody
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is it corruption to to give somebody
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is it corruption to to give somebody
money<00:16:15.279> in<00:16:15.440> order<00:16:15.680> to<00:16:15.920> influence<00:16:16.560> decisions
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money in order to influence decisions
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money in order to influence decisions
for<00:16:17.440> example<00:16:17.839> in<00:16:18.000> the<00:16:18.079> medical<00:16:18.480> profession
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for example in the medical profession
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for example in the medical profession
well<00:16:19.440> no<00:16:19.759> it's<00:16:19.920> just<00:16:20.399> a<00:16:20.800> pressure<00:16:21.279> group<00:16:21.600> it's
00:16:21.829 --> 00:16:21.839 align:start position:0%
well no it's just a pressure group it's
00:16:21.839 --> 00:16:23.509 align:start position:0%
well no it's just a pressure group it's
a<00:16:22.000> it's<00:16:22.240> a<00:16:22.399> lobby<00:16:22.800> group
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a it's a lobby group
00:16:23.519 --> 00:16:25.749 align:start position:0%
a it's a lobby group
okay<00:16:23.839> so<00:16:24.079> and<00:16:24.480> you<00:16:24.639> know<00:16:24.800> you'll<00:16:25.040> see<00:16:25.360> the<00:16:25.600> the
00:16:25.749 --> 00:16:25.759 align:start position:0%
okay so and you know you'll see the the
00:16:25.759 --> 00:16:27.189 align:start position:0%
okay so and you know you'll see the the
big<00:16:26.000> differences<00:16:26.480> in<00:16:26.639> wages
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big differences in wages
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big differences in wages
at<00:16:27.360> the<00:16:27.519> end<00:16:27.680> of<00:16:27.759> the<00:16:27.920> day<00:16:29.040> is<00:16:29.279> it<00:16:30.160> just<00:16:30.399> another
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at the end of the day is it just another
00:16:31.120 --> 00:16:33.430 align:start position:0%
at the end of the day is it just another
is<00:16:31.279> it<00:16:31.519> something<00:16:31.839> in<00:16:32.000> sheep's<00:16:32.399> clothing<00:16:33.120> okay
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is it something in sheep's clothing okay
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is it something in sheep's clothing okay
you're<00:16:33.600> looking<00:16:33.839> at<00:16:34.000> the<00:16:34.079> same<00:16:34.399> thing
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you're looking at the same thing
00:16:34.800 --> 00:16:37.829 align:start position:0%
you're looking at the same thing
just<00:16:35.040> in<00:16:35.120> another<00:16:35.519> type<00:16:35.759> of<00:16:36.000> context
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just in another type of context
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just in another type of context
the<00:16:38.000> council<00:16:38.399> of<00:16:38.480> europe<00:16:38.800> has<00:16:38.880> declared
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the council of europe has declared
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the council of europe has declared
corruption<00:16:39.759> a<00:16:39.920> key<00:16:40.240> political<00:16:40.720> issue<00:16:41.040> in
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corruption a key political issue in
00:16:41.120 --> 00:16:41.990 align:start position:0%
corruption a key political issue in
europe
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europe
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europe
and<00:16:42.160> the<00:16:42.320> european<00:16:42.800> union<00:16:43.199> has<00:16:43.440> tried<00:16:44.079> not
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and the european union has tried not
00:16:44.320 --> 00:16:45.509 align:start position:0%
and the european union has tried not
always<00:16:44.560> successfully
00:16:45.509 --> 00:16:45.519 align:start position:0%
always successfully
00:16:45.519 --> 00:16:47.829 align:start position:0%
always successfully
to<00:16:45.759> insist<00:16:46.079> on<00:16:46.240> corruption<00:16:46.800> control<00:16:47.600> as<00:16:47.759> a
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to insist on corruption control as a
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to insist on corruption control as a
condition<00:16:48.320> of<00:16:48.480> membership
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condition of membership
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condition of membership
for<00:16:49.360> potential<00:16:49.920> new<00:16:50.160> entrants<00:16:52.079> regression
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for potential new entrants regression
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for potential new entrants regression
analysis<00:16:53.199> can<00:16:53.360> do<00:16:53.600> many<00:16:53.920> things
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analysis can do many things
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analysis can do many things
but<00:16:55.199> just<00:16:55.600> one<00:16:55.839> of<00:16:55.920> them<00:16:56.800> is<00:16:56.959> to<00:16:57.120> point<00:16:57.440> out<00:16:57.519> the
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but just one of them is to point out the
00:16:57.759 --> 00:17:02.829 align:start position:0%
but just one of them is to point out the
need<00:16:58.000> for<00:16:58.160> such
00:17:02.829 --> 00:17:02.839 align:start position:0%
00:17:02.839 --> 00:17:21.669 align:start position:0%
controls
00:17:21.669 --> 00:17:21.679 align:start position:0%
00:17:21.679 --> 00:17:23.760 align:start position:0%
you