Economics

Studies the issues related to economic development, emphasizing endogenous growth models. Topics include human capital, R & D, learning by doing, fiscal policy, trade, and financial development. Prerequisite: ECON 7040 or instructor permission.

New course in the subject of economics.

Studies econometric tools for the analysis of cross-section and qualitative data. Prerequisite: ECON 7720 or instructor permission.

Studies econometric techniques for the analysis of economic time series. Prerequisite: ECON 7720 or instructor permission.

"Traditional" econometric inference is hard to implement in "big data" settings. This course provides a bridge between highly efficient scalable tools from Machine Learning and nonparametric econometric models. The focus will be on developing non-parametric models of large datasets, establishing uniform consistency results for the analyzed models, and bridging the computational efficiency and statistical properties of the estimators.

The class presents modern numerical methods for solving mathematical problems common in economics. Examples include functional approximation, nonlinear maximization and root finding, and numerical integration and differentiation. Applications include the solution of dynamic decision problems, computing equilibria of dynamic economies and games, and nonlinear estimation.

Analysis of the use of laboratory methods to study economic behavior. Topics include experimental design, laboratory technique, and nonparametric analysis of data. Emphasizes using controlled observations to evaluate alternative economic theories and policies. Applications include bargaining, auctions, oligopoly, asymmetric information, voting, public goods, financial markets, and tests of expected utility and game theories. Prerequisite: ECON 7010 or instructor permission.

The course focuses on developing research ideas into a formal paper. Students work in small groups with the instructor, completing writing assignments that form the body of a scholarly paper and offering critical evaluations of other students' assignments. Prerequisite: Third-year status or instructor permission.

Reading and/or other work for PhD students in particular fields under supervision of an instructor.

For master's research, taken before a thesis director has been selected.

For master's thesis, taken under the supervision of a thesis director.

For doctoral research, to be taken only in the first semester after passing a field exam, and before a dissertation director has been selected.

For doctoral dissertation, taken under the supervision of the first reader or prospective first reader.