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Course Criteria
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3.00 Credits
PQ: ECON 20100. Either ECON 20700 or 20710 may be used as an economics elective, but not both. This course introduces the basic ideas and applications of game theory. Topics include models of games in extensive and strategic form, equilibria with randomization, signaling and beliefs, reputation in repeated games, bargaining games, investment hold-up problems, and mediation and incentive constraints. Spring.
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3.00 Credits
PQ: ECON 20100 and MATH 20300, or consent of instructor. Either ECON 20700 or 20710 may be used as an economics elective, but not both. This course is a rigorous introduction to game theory with an emphasis on formal methods. Definitions of a game, preferences, chance moves, and Nash Equilibrium and its extensions are provided. Applications are given to classical games (such as chess), bargaining, and economic models. This course is intended for students who are planning to study economics at the graduate level and for students with an interest in a mathematical approach to basic issues in the social sciences. H. Sonnenschein. Autumn.
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3.00 Credits
PQ: ECON 20100. In part, this course covers the analysis of the standard auction formats (i.e., Dutch, English, sealed-bid) and describes conditions under which they are revenue maximizing. We introduce both independent private-value models and interdependent-value models with affiliated signals. Multi-unit auctions are also analyzed with an emphasis on Vickrey's auction and its extension to the interdependent-value setting. Not offered 200 9 -10; will be offered 20 1 0-11
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3.00 Credits
PQ: ECON 20300, and STAT 24400 or 24500; or consent of instructor. The topics are essentially the same as those covered in ECON 21000, but this foundations course in econometrics gives a more systematic introduction to the application of statistical theory to economic applications. This course is intended for students who are planning to study economics at the graduate level. Winter, Spring.
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3.00 Credits
PQ: ECON 20200, STAT 23400, and MATH 19620 or 20000. Required of students who are majoring in economics; those students are encouraged to meet this requirement by the end of their third year. This course covers the single and multiple linear regression model, the associated distribution theory, and testing procedures; corrections for heteroskedasticity, autocorrelation, and simultaneous equations; and other extensions as time permits. Students also apply the techniques to a variety of data sets using PCs. Autumn, Winter, Spring.
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3.00 Credits
PQ: ECON 20900 or 21000. This course provides students with a basic understanding of how econometrics, economic theory, and knowledge of institutions can be used to draw credible inferences on economic relationships. Topics include multivariate linear regression, causal inference, omitted variables bias, fixed and random effects models, simultaneous equation models, the propensity score, and discrete choice models. Students have the opportunity to apply these techniques to empirical questions in industrial organization, as well as in environmental, labor, and public economics. Spring.
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3.00 Credits
PQ: ECON 20900 or 21000. This course examines time series models and the testing of such models against observed evolution of economic quantities. Topics include autocorrelation and heteroskedasticity in time series applications of the general linear model. Students see the applications of these time series models in macroeconomics and finance. P. Bondarenko. Autumn.
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3.00 Credits
PQ: ECON 20100 and STAT 23400. This course introduces students to economic theories of spatial location and the tools for analyzing geo-coded information. Early writers such as Von Thunen articulated the influence of transportation costs in explaining the clustering of economic activity; economists such as Krugman and Glaeser more recently have reconsidered spatial implications in the economics of agglomeration. Geographic Information Systems (GIS) are computer programs that enable visualization of spatial patterns in quantitative information. Students have computer lab time to learn GIS software and to learn how to integrate sources of information (domestic and international) to these geo-coded tools. We emphasize practical methods to integrate GIS and remotely sensed data into economic analysis. J. Felkner. Winter.
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3.00 Credits
PQ: ECON 20100. This course provides the necessary tools to be an avid consumer of the experimental literature and instructs students on how to become a producer of that literature. Topics include a summary of recent experimental findings and details on how to gather and analyze data using experimental methods. J. List. Spring.
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3.00 Credits
PQ: ECON 20100. This course considers economic analysis of the early American labor market, drawing on new research on the economic and social history of the colonies. Topics include the English background and economic stimulus to colonization, the economics of the Jamestown experiment, mortality in the early colonies, the economics of white indentured servitude, opportunities for immigrants, the economics of the transatlantic slave trade, the growth of black slavery, and the wealth of the colonies. D. Galenson. Winter.
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