Subjects in Mathematical Economics

Hossein Arsham, University of Baltimore

This is an extensive introduction to quantitative approaches to decision making, including statistical decision theory. It has been produced by Hossein Arsham of the University of Baltimore.

Online Text and Notes, Mathematical Economics
Dieter G Balkenborg, University of Exeter

This set of past exams from a first-year course, Introduction to Mathematical Economics, as taught at the University of Exeter, 1995-2000. This is a stored version of the original page, in the Internet Archive. The links marked 2002-2001 PDF do not work, but the earlier links from 2000 back to 1995 do provide access to past exam papers.

Assessment Materials, Mathematical Economics

Software company Estima hosts example downloadable RATS files enabling replication of the examples used in many textbooks, including James Hamilton's 'Time Series Analysis', Brockwell and Davis' 'Introduction to Time Series and Forecasting', Greene's 'Econometric Analysis', Gujarati's 'Basic Econometrics' and Stock and Watson's 'Introduction to Econometrics'.

Econometrics, Software, Worksheets and Projects, Mathematical Economics
Viatcheslav Vinogradov, Economics Institute of the Czech Academy of Sciences

This 116-page textbook was adapted from a series of handouts used in a graduate-level course in mathematics for economists. Downloadable as a PDF file, it has four chapters (Linear algebra, Calculus, Constrained Optimization and Dynamics) plus 14 pages of exercises. Economics applications are given throughout the text. The book is dated 1999.

Assessment Materials, Advanced Econometrics and Quantitative Techniques, Online Text and Notes, Mathematical Economics
Martin Sefton, University of Nottingham, Vincent Anesi, University of Nottingham

Module page for a course on Mathematical Economics as taught by Martin Sefton and Vincent Anesi of the University of Nottingham. It gives an outline of the aims, content and objectives of the module, with links to supporting learning materials - although some of these are password protected.

Curricula and Syllabi, Maths for Economists, Mathematical Economics
Dieter Balkenborg, University of Exeter

Mathematics for economists is a course webpage produced by Dieter Balkenborg of the University of Exeter, the 2008 version of the course was taught by Juliette Stephenson. The material includes lecture slides, class exercises and solutions, homework tasks, and exam papers, usually made available as PDF files. Also includes links to previous versions of the course stretching back to 2001.

Assessment Materials, Maths for Economists, Lecture Slides, Online Text and Notes, Mathematical Economics
Dieter Balkenborg, Department of Economics. University of Exeter

A course support webpage for a Optimization Techniques for Economists as taught by Dieter Balkenborg of the University of Exeter in 2008. It contains lecture notes, classroom exercises, homework exercises, solutions and other supporting documents for the course

Assessment Materials, Online Text and Notes, Mathematical Economics
Daniel L McFadden, University of California, Berkeley

This link takes you directly to a six-page PDF file with colour graphs, explaining the maths of Engle curves, Giffen goods, income and substitution effects and related theory, by Daniel L. McFadden of University of California, Berkeley

Online Text and Notes, Mathematical Economics
Ross M Starr, University of California, Berkeley

A full and detailed set of lecture notes from this Winter 2003 course are archived on this course site. The site is no longer available on the original server, so this link is to the Internet Archive's copy.

Online Text and Notes, Mathematical Economics
John Hillas, University of Auckland

These are materials from a course intending to give students a grounding in the basic quantitative methods of economic analysis with application to commonly used formal models in microeconomics, macroeconomics, or econometrics. Maximisation, probability, utility and game theory are among the topics. They are presented as a series of PDF files including lecture notes, exam papers, homework assignments and midterm papers.

Assessment Materials, Online Text and Notes, Mathematical Economics
Stephen J Silver, The Citadel (Military College of South Carolina)

This is a refresher PDF document summarising differentiation (including maxima and minima, partial differentiation and the Lagrangean multiplier) and integration with examples from economics. There are eight pages of content apart from the title page and an appendix summarising differentials and integrals of common functions.

Advanced Econometrics and Quantitative Techniques, Online Text and Notes, Mathematical Economics
David S. Ahn, University of California, Berkeley

Archived from Autumn 2004, this course web page includes 13 short class handouts, five problem sets with answers, and article links to JSTOR. It supports a course on introductory mathematical economics, as taught by David S. Ahn of University of California, Berkeley. This link is to's copy of the page.

Assessment Materials, Online Text and Notes, Mathematical Economics
James D Hamilton, University of California, San Diego

Bayesian statistics and its application to econometrics - lecture slides and notes. The Powerpoint presentation comprises nearly 100 slides.

Econometrics, Lecture Slides, Online Text and Notes, Mathematical Economics
William Breit
This blog is written by William Breit, Professor Emeritus at Trinity University, USA (aka Marshall Jevons). It contains discussion of economics issues, book reviews, software app reviews, reportts on products such as Kindle, and other mind-broadening posts.
Economic Theory, Economic Thought and Critiques of Economic Theories or Schools, Mathematical Economics
DIA Agency

Gemodel 3.2 simulates neo-classical economic models such as those found in price theory, public finance, international trade, and economic development textbooks. This software is designed to calculate numerical solutions for non-linear general equilibrium models so that the comparative static results of economic theory may be illustrated. Policy analysis can also be undertaken. Production is modelled using a variable return CES production function for two or three industries, whilst consumption is represented using a CES utility function for 1-19 household classes. The model can also be used in international trade, public finance and welfare. Users will need to purchase a license to use the software.

Statistics for Economists, Software, Mathematical Economics
Urs Fischbacher, University of Zurich

zTree (Zurich Toolbox for Readymade Economic Experiments) allows the creation and running of economic experiments over a network, without any programming knowledge. Features include data saving, time display, profit calculation and tools for screen layout. A number of games and auctions are available for free download. It can be used for a wide range of possible experiments such as public good experiments, structured bargaining experiments or markets - including double auctions and Dutch auctions. Users need to sign a license agreement to use the software.

Software, Experimental Economics, Mathematical Economics

Study skills for Economics students

Our site Studying Economics has tips including writing and referencing, revision, and help with maths.

Know your rights, respect others'

This short video explains your rights to use material found online. Click in the bottom right to view full-screen.