WEBVTT 00:00:01.350 --> 00:00:03.450 Hi, everyone, my name's Andrew Hawkins. NOTE CONF {"raw":[100,100,100,87,100,98]} 00:00:03.480 --> 00:00:06.720 I'm a lecturer at the Department of Economics at Warwick, NOTE CONF {"raw":[100,100,100,100,100,100,100,100,93,100]} 00:00:07.140 --> 00:00:09.960 and I teach many of you for first year macro. NOTE CONF {"raw":[100,52,100,100,100,100,98,72,85,56]} 00:00:10.680 --> 00:00:13.380 And today I'm going to say a little bit about NOTE CONF {"raw":[100,100,100,100,100,100,100,100,100,100]} 00:00:13.380 --> 00:00:18.900 univariate optimisation and why it's so important in economics, why NOTE CONF {"raw":[100,91,100,100,100,100,100,100,100,99]} 00:00:18.900 --> 00:00:20.460 you need to know it and why. NOTE CONF {"raw":[100,100,100,100,100,100,100]} 00:00:20.460 --> 00:00:22.590 Really, you should all learn to master it. NOTE CONF {"raw":[100,98,100,100,100,100,100,100]} 00:00:23.010 --> 00:00:24.540 So I want to go through a couple of slides NOTE CONF {"raw":[93,85,36,100,100,87,100,100,100,100]} 00:00:24.540 --> 00:00:28.020 and explain some motivation for univariate optimisation. NOTE CONF {"raw":[100,100,98,92,100,100,98]} 00:00:31.590 --> 00:00:33.900 So firstly, why do we need it? NOTE CONF {"raw":[100,100,100,100,100,100,100]} 00:00:34.890 --> 00:00:38.820 Well, I'll answer that question with another question. NOTE CONF {"raw":[100,100,100,100,100,100,100,100]} 00:00:39.030 --> 00:00:42.600 And that is what is economics all about? NOTE CONF {"raw":[100,100,100,100,100,100,100,100]} 00:00:43.750 --> 00:00:46.450 Now, some of you may have asked that question several NOTE CONF {"raw":[97,100,100,100,100,100,100,100,100,100]} 00:00:46.450 --> 00:00:49.150 months ago to yourselves when you decided to apply to NOTE CONF {"raw":[100,100,98,100,100,100,100,100,100,100]} 00:00:49.150 --> 00:00:55.330 work to study economics and depending on who you ask. NOTE CONF {"raw":[57,100,100,100,100,100,100,100,100,100]} 00:00:56.050 --> 00:00:58.750 The answers will vary, but most economists, I think, would NOTE CONF {"raw":[100,100,100,100,100,100,100,100,100,100]} 00:00:58.750 --> 00:01:02.020 agree that economics is all about choices. NOTE CONF {"raw":[100,100,100,100,100,100,100]} 00:01:03.550 --> 00:01:07.150 So as economists were interested in the kinds of choices NOTE CONF {"raw":[100,100,100,72,100,100,100,100,100,100]} 00:01:07.150 --> 00:01:12.580 people make, for example, consumption choices or the decision to NOTE CONF {"raw":[100,100,99,100,100,100,100,50,100,100]} 00:01:12.970 --> 00:01:16.960 get vaccinated or not, or how many years to spend NOTE CONF {"raw":[100,100,100,100,100,100,100,100,100,100]} 00:01:16.960 --> 00:01:20.380 in education, these are all the kinds of choices that NOTE CONF {"raw":[100,100,100,100,79,100,100,100,100,100]} 00:01:20.380 --> 00:01:23.590 economists might care about and. NOTE CONF {"raw":[100,100,100,100,100]} 00:01:24.990 --> 00:01:28.170 Given we're interested in those kinds of choices, the question NOTE CONF {"raw":[100,94,100,100,100,100,100,100,100,100]} 00:01:28.170 --> 00:01:31.410 which then comes to mind is do people make these NOTE CONF {"raw":[94,100,100,100,100,100,100,100,100,100]} 00:01:31.410 --> 00:01:35.610 choices sort of randomly or is there may be some NOTE CONF {"raw":[100,71,71,100,100,100,100,74,74,100]} 00:01:35.850 --> 00:01:37.680 purpose to the choices they make? NOTE CONF {"raw":[100,100,100,100,100,100]} 00:01:38.220 --> 00:01:41.370 Do they maybe have goals or objectives in mind? NOTE CONF {"raw":[100,100,99,100,100,100,100,100,100]} 00:01:42.840 --> 00:01:46.080 Are there actions shaped by some incentives they might have NOTE CONF {"raw":[99,37,100,96,100,58,100,100,100,100]} 00:01:46.080 --> 00:01:49.170 which pushed them towards making one choice or another one? NOTE CONF {"raw":[100,86,100,99,100,100,100,100,100,100]} 00:01:49.800 --> 00:01:52.770 These are the kinds of fundamental questions that academic economists, NOTE CONF {"raw":[100,100,100,100,100,100,100,87,52,100]} 00:01:52.770 --> 00:01:55.860 particularly in microeconomics, are really interested in. NOTE CONF {"raw":[100,100,91,100,100,100,98]} 00:01:57.620 --> 00:02:01.100 And the way that we study many of these questions NOTE CONF {"raw":[100,100,100,100,100,100,100,100,100,100]} 00:02:02.030 --> 00:02:02.840 is to. NOTE CONF {"raw":[100,98]} 00:02:03.950 --> 00:02:06.800 Build mathematical models, and that gives us a way to NOTE CONF {"raw":[95,100,100,100,100,100,100,100,100,100]} 00:02:06.800 --> 00:02:09.979 think about the question if it remains in our minds. NOTE CONF {"raw":[100,100,100,86,89,99,97,100,100,100]} 00:02:10.700 --> 00:02:13.100 So in our mathematical models will learn this. NOTE CONF {"raw":[83,91,97,100,100,100,100,100]} 00:02:13.130 --> 00:02:15.230 I mean, you're a bit of micro in time one. NOTE CONF {"raw":[98,98,68,100,100,100,98,64,45,63]} 00:02:16.770 --> 00:02:20.430 We tend to use something called a utility function, and NOTE CONF {"raw":[100,100,100,100,100,100,100,100,100,100]} 00:02:20.430 --> 00:02:22.200 this is really have to worry about the details of NOTE CONF {"raw":[100,100,100,52,97,97,98,100,100,100]} 00:02:22.200 --> 00:02:22.650 it now. NOTE CONF {"raw":[100,100]} 00:02:23.010 --> 00:02:26.280 But it's a function that's present in all of the NOTE CONF {"raw":[100,100,100,100,98,100,99,100,100,100]} 00:02:26.490 --> 00:02:29.010 mathematical models we're going to use in micro, basically all NOTE CONF {"raw":[100,100,97,98,100,100,69,38,100,100]} 00:02:29.010 --> 00:02:29.310 of them. NOTE CONF {"raw":[100,100]} 00:02:30.810 --> 00:02:33.110 And the assumption which we make in the models is NOTE CONF {"raw":[97,100,100,96,88,99,99,100,68,100]} 00:02:33.150 --> 00:02:38.040 that people tend to make choices that maximise their utility NOTE CONF {"raw":[100,100,100,100,100,100,100,97,80,100]} 00:02:38.040 --> 00:02:38.490 function. NOTE CONF {"raw":[100]} 00:02:39.330 --> 00:02:42.990 And that's where the univariate optimisation comes in. NOTE CONF {"raw":[100,100,100,100,100,96,100,100]} 00:02:43.770 --> 00:02:46.050 It's going to be important for you to know how NOTE CONF {"raw":[100,100,100,100,100,100,100,100,100,100]} 00:02:46.050 --> 00:02:49.260 to maximise a utility function. NOTE CONF {"raw":[100,99,100,100,100]} 00:02:49.470 --> 00:02:52.530 If you want to know in a particular model how NOTE CONF {"raw":[100,100,100,98,62,100,93,100,100,100]} 00:02:52.530 --> 00:02:55.440 many units of this good is somebody going to buy? NOTE CONF {"raw":[100,100,100,100,98,97,55,100,100,99]} 00:02:55.740 --> 00:02:59.190 Well, to answer that kind of question, the way we NOTE CONF {"raw":[100,100,87,100,100,100,100,100,100,84]} 00:02:59.190 --> 00:03:01.810 go about it is to maximise their utility function. NOTE CONF {"raw":[100,100,100,100,100,99,74,100,99]} 00:03:01.830 --> 00:03:05.070 So that's why we really need to have a lot NOTE CONF {"raw":[100,100,100,100,100,100,100,100,100,100]} 00:03:05.070 --> 00:03:09.270 of practise doing univariate optimisation because you'll see this a NOTE CONF {"raw":[100,100,77,100,100,99,98,100,100,100]} 00:03:09.270 --> 00:03:11.280 lot in year one year two and of course, year NOTE CONF {"raw":[100,100,98,100,100,96,100,100,100,39]} 00:03:11.280 --> 00:03:11.640 three. NOTE CONF {"raw":[100]} 00:03:12.940 --> 00:03:17.890 So that's why we need to know as economists something NOTE CONF {"raw":[100,100,100,100,100,100,100,100,72,100]} 00:03:18.010 --> 00:03:20.910 a fair bit about univariate optimisation. NOTE CONF {"raw":[100,100,100,100,100,93]} 00:03:23.670 --> 00:03:27.810 So next thing to talk about is where it's used, NOTE CONF {"raw":[100,100,100,100,100,100,99,94,100,100]} 00:03:27.810 --> 00:03:30.750 so I've talked a little bit about micro economics, and NOTE CONF {"raw":[100,98,87,100,100,100,100,57,57,100]} 00:03:31.110 --> 00:03:35.160 you're going to see in year one univariate optimisation pop NOTE CONF {"raw":[100,100,100,100,100,98,100,98,94,100]} 00:03:35.160 --> 00:03:39.450 up in consumer theory, that's the theory about why consumers NOTE CONF {"raw":[100,100,100,100,100,100,100,100,100,100]} 00:03:39.450 --> 00:03:43.080 by certain goods, how prices relate to this and so NOTE CONF {"raw":[93,93,100,99,100,100,100,100,100,100]} 00:03:43.080 --> 00:03:43.290 on. NOTE CONF {"raw":[99]} 00:03:44.340 --> 00:03:46.650 You'll see it also in produce a theory that's looking NOTE CONF {"raw":[94,100,70,100,74,82,99,100,78,100]} 00:03:46.650 --> 00:03:48.540 at the supply side of the economy. NOTE CONF {"raw":[100,100,100,100,100,100,100]} 00:03:48.570 --> 00:03:51.750 How do firms make their decisions about which inputs to NOTE CONF {"raw":[100,52,100,100,99,100,100,100,100,100]} 00:03:51.750 --> 00:03:52.050 buy? NOTE CONF {"raw":[100]} 00:03:52.090 --> 00:03:54.870 How much of a good to produce that also is NOTE CONF {"raw":[100,100,100,100,100,100,100,100,100,99]} 00:03:54.870 --> 00:03:57.030 going to involve some maximisation? NOTE CONF {"raw":[100,100,100,100,83]} 00:03:58.430 --> 00:04:00.500 You're also going to see it in game theory, so NOTE CONF {"raw":[94,100,100,100,100,93,100,100,100,100]} 00:04:00.500 --> 00:04:02.600 we went into game theory now, but another aspect of NOTE CONF {"raw":[100,51,80,100,98,100,97,100,100,100]} 00:04:02.600 --> 00:04:04.520 this is going to pop up in game theory. NOTE CONF {"raw":[100,100,100,100,100,100,96,100,100]} 00:04:05.480 --> 00:04:07.520 Of course, I can't just talk about micro. NOTE CONF {"raw":[100,100,100,100,100,99,99,99]} 00:04:07.760 --> 00:04:09.260 It will also show up in macro. NOTE CONF {"raw":[93,100,100,100,100,99,90]} 00:04:09.260 --> 00:04:10.850 So there'll be plenty of models you will see in NOTE CONF {"raw":[98,100,100,100,100,100,79,75,100,99]} 00:04:10.850 --> 00:04:15.200 macro, for example, ones based on dynamic optimisation. NOTE CONF {"raw":[100,100,100,97,100,100,100,98]} 00:04:15.200 --> 00:04:17.570 That's somebody going through time and making a decision of NOTE CONF {"raw":[82,72,100,100,100,100,100,100,100,100]} 00:04:17.570 --> 00:04:19.940 maybe how much money to save the day versus how NOTE CONF {"raw":[100,100,100,100,100,100,69,69,99,100]} 00:04:19.940 --> 00:04:20.660 much to spend. NOTE CONF {"raw":[100,99,100]} 00:04:21.440 --> 00:04:25.280 That would involve some optimisation univariate optimisation. NOTE CONF {"raw":[100,98,100,100,100,100,100]} 00:04:26.740 --> 00:04:31.030 Lastly, we could also talk about econometrics, so any econometrics NOTE CONF {"raw":[100,100,74,100,100,100,100,99,52,100]} 00:04:31.030 --> 00:04:34.120 you're, I think, likely to see in second year something NOTE CONF {"raw":[68,100,100,99,100,100,98,100,99,100]} 00:04:34.120 --> 00:04:38.610 called maximum likelihood estimation, which is all about again, the NOTE CONF {"raw":[100,100,100,100,100,100,100,100,100,45]} 00:04:38.620 --> 00:04:41.860 clue there is in the name maximum likelihood estimation. NOTE CONF {"raw":[61,52,58,100,100,99,100,100,100]} 00:04:41.870 --> 00:04:45.860 So that would also probably involve some multivariate optimisation, too. NOTE CONF {"raw":[100,100,77,100,100,98,98,100,95,87]} 00:04:45.880 --> 00:04:49.180 So they're just a handful of examples. NOTE CONF {"raw":[100,92,100,100,100,100,100]} 00:04:49.180 --> 00:04:50.890 There are many, many, many more. NOTE CONF {"raw":[98,100,100,100,100,100]} 00:04:51.280 --> 00:04:53.590 So I'll leave it at that. NOTE CONF {"raw":[100,97,100,100,100,100]} 00:04:54.250 --> 00:04:54.910 Thanks very much. NOTE CONF {"raw":[100,100,100]}