Economics (Ec) Graduate Courses (2017-18)
Ec 101. Selected Topics in Economics. Units to be determined by arrangement with the instructor: offered by announcement. Topics to be determined by instructor. Instructors: Staff, visiting lecturers.
Ec 105. Industrial Organization. 9 units (3-0-6): first term. A study of how technology affects issues of market structure and how market structure affects observable economic outcomes, such as prices, profits, advertising, and research and development expenditures. Emphasis will be on how the analytic tools developed in the course can be used to examine particular industries-especially those related to internet commerce-in detail. Each student is expected to write one substantial paper. Not offered 2017-18.
Ec/Psy 109. Frontiers in Behavioral Economics. 9 units (3-0-6): first term. Behavioral economics studies agents who are biologically limited in computational ability, willpower and pure self-interest. An important focus is how those limits interact with economic institutions and firm behavior. This reading-driven course will cover new papers that are interesting and draw attention to a topic of importance to economics. Readings will cover lab and field experiments, axiomatic models of behavioral phenomena, and welfare. Each weekly discussion will begin with a 10-minute overview, then an inspection of the paper's scientific machinery, judge whether its conclusions are justified, and speculate about the scope of its generalizability. It should help students as referees and as writers. Assignments are two 1000-word summary-critiques. Not offered 2017-18.
Ec/ACM/CS 112. Bayesian Statistics. 9 units (3-0-6): third term. This course provides an introduction to Bayesian Statistics and its applications to data analysis in various fields. Topics include: discrete models, regression models, hierarchical models, model comparison, and MCMC methods. The course combines an introduction to basic theory with a hands-on emphasis on learning how to use these methods in practice so that students can apply them in their own work. Previous familiarity with frequentist statistics is useful but not required. Instructor: Rangel.
Ec 117. Matching Markets. 9 units (3-0-6): third term. We will tackle the fundamental question of how to allocate resources and organize exchange in the absence of prices. Examples includes finding a partner, allocating students to schools, and matching donors to patients in the context of organ transplantations. While the main focus will be on formal models, we will also reason about the practical implications of the theory. Instructor: Pomatto.
Ec 121 ab. Theory of Value. 9 units (3-0-6): first, second terms. A study of consumer preference, the structure and conduct of markets, factor pricing, measures of economic efficiency, and the interdependence of markets in reaching a general equilibrium. Instructors: Border, Saito.
Ec 122. Econometrics. 9 units (3-0-6): first term. The application of statistical techniques to the analysis of economic data. Instructor: Sherman.
Ec/SS 124. Identification Problems in the Social Sciences. 9 units (3-0-6): second term. Statistical inference in the social sciences is a difficult enterprise whereby we combine data and assumptions to draw conclusions about the world we live in. We then make decisions, for better or for worse, based on these conclusions. A simultaneously intoxicating and sobering thought! Strong assumptions about the data generating process can lead to strong but often less than credible (perhaps incredible?) conclusions about our world. Weaker assumptions can lead to weaker but more credible conclusions. This course explores the range of inferences that are possible when we entertain a range of assumptions about how data is generated. We explore these ideas in the context of a number of applications of interest to social scientists. Instructor: Sherman.
Ec/SS 129. Economic History of the United States. 9 units (3-0-6): second term. An examination of certain analytical and quantitative tools and their application to American economic development. Each student is expected to write two substantial papers - drafts will be read by instructor and revised by students. Not offered 2017-18.
Ec/SS 130. Economic History of Europe from the Middle Ages to the Twentieth Century. 9 units (3-0-6): third term. Employs the theoretical and quantitative techniques of economics to help explore and explain the development of the European cultural area between 1000 and 1980. Topics include the rise of commerce, the demographic transition, the Industrial Revolution, and changes in inequality, international trade, social spending, property rights, and capital markets. Each student is expected to write nine weekly essays and a term paper. Not offered 2017-18.
Ec 135. Economics of Uncertainty and Information. 9 units (3-0-6): first term. An analysis of the effects of uncertainty and information on economic decisions. Included among the topics are individual and group decision making under uncertainty, expected utility maximization, insurance, financial markets and speculation, product quality and advertisement, and the value of information. Instructor: Agranov.
Ec 140. Economic Progress. 9 units (3-0-6): first term. This course examines the contemporary literature on economic growth and development from both a theoretical and historical/empirical perspective. Topics include a historical overview of economic progress and the lack thereof; simple capital accumulation models; equilibrium/planning models of accumulation; endogenous growth models; empirical tests of convergence; the measurement and role of technological advancement; and the role of trade, institutions, property rights, human capital, and culture. Instructors: Border, Hoffman.
CS/SS/Ec 149. Algorithmic Economics. 9 units (3-0-6): second term. This course will equip students to engage with active research at the intersection of social and information sciences, including: algorithmic game theory and mechanism design; auctions; matching markets; and learning in games. Instructor: Echenique/Pomatto.
BEM/Ec 150. Business Analytics. 9 units (3-0-6): first term. This class teaches how to use very large, cross-media datasets to infer what variables influence choices and trends of economic and business interest. Topics include database management, cleaning and visualization of data, statistical and machine learning methods, natural language processing, social and conventional media, personal sensors and devices, sentiment analysis, and controlled collection of data (including experiments). Grades are based on hands-on data analysis homework assignments and detailed analysis of one dataset. Instructor: Camerer.
Ec/PS 160 abc. Laboratory Experiments in the Social Sciences. 9 units (3-3-3): first, second, third terms. An examination of recent work in laboratory testing in the social sciences with particular reference to work done in social psychology, economics, and political science. Students are required to design and conduct experiments. Instructor: Plott.
PS/Ec 172. Game Theory. 9 units (3-0-6): second term. This course is an introduction to non-cooperative game theory, with applications to political science and economics. It covers the theories of normal-form games and extensive-form games, and introduces solutions concepts that are relevant for situations of complete and incomplete information. The basic theory of repeated games is introduced. Applications are to auction theory and asymmetric information in trading models, cheap talk and voting rules in congress, among many others. Instructor: Tamuz.
Ec 181. Convex Analysis and Economic Theory. 9 units (3-0-6): second term. Introduction to the use of convex analysis in economic theory. Includes a rigorous discussion of separating hyperplane theorems, continuity and differentiability properties of convex and concave functions, support functions, subdifferentials, Fenchel conjugacy, saddle-point theory, theorem of the alternative, and linear programming. Emphasis is on the finite-dimensional case, but infinite-dimensional spaces will be discussed. Applications to the theory of cost and production functions, decision theory, and game theory. Instructor: Border.