Graduate Program

The foundation of modern microeconomic analysis, including consideration of consumer behavior, the theory of the firm, equilibrium under alternative market structures, and welfare implications.

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(TR 11:05AM - 12:20PM)

The foundation of modern microeconomic analysis, including consideration of consumer behavior, the theory of the firm, equilibrium under alternative market structures, and welfare implications.

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(F 11:05AM - 12:20PM)

Reviews the main empirical regularities that characterize economic growth and business fluctuations in market economies. Discusses various theoretical models of the business cycle, as well as the macroeconomic impact of fiscal and monetary policy.

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(MW 9:15AM - 10:30AM)

Reviews the main empirical regularities that characterize economic growth and business fluctuations in market economies. Discusses various theoretical models of the business cycle, as well as the macroeconomic impact of fiscal and monetary policy.

Location

(F 9:00AM - 10:15AM)

This course covers the use of optimization theory in economic analysis. The topics covered include finite-dimensional optimization (unconstrained optimization, Lagrange's Theorem, the Kuhn-Tucker Theorem), the role of convexity in optimization, parametric continuity of solutions to optimization problems, and finite- and infinite-horizon dynamic programming.

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(MW 1:45PM - 3:00PM)

Elements of probability theory and statistics as employed in econometrics. Estimation and inference in the standard linear model.

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(MW 10:45AM - 12:00PM)

This course is for master's students that have made arrangements with a faculty member to complete readings and discussion in a particular subject in their field of study.

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( 7:00PM - 7:00PM)

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( 7:00PM - 7:00PM)

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( 7:00PM - 7:00PM)

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( 7:00PM - 7:00PM)

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( 7:00PM - 7:00PM)

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( 7:00PM - 7:00PM)

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( 7:00PM - 7:00PM)

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( 7:00PM - 7:00PM)

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( 7:00PM - 7:00PM)

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( 7:00PM - 7:00PM)

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( 7:00PM - 7:00PM)

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( 7:00PM - 7:00PM)

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( 7:00PM - 7:00PM)

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( 7:00PM - 7:00PM)

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( 7:00PM - 7:00PM)

Selected topics in labor economics are discussed. The topics vary from year to year. In recent years, topics have included human capital, models of wage growth , inequality, and labor policy.

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(T 2:00PM - 3:15PM)

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(W 3:30PM - 5:00PM)

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(W 5:15PM - 8:00PM)

This is a PhD level course in international macroeconomics. The course will mostly cover topics in international finance. The first part of the course will focus on the basic facts and models of sovereign default and some recent applications. The second part of the course will cover specific issues on sovereign default where the literature needs further research, some recent work on current account reversals and macroprudential policy, and some discussion on optimal currency areas

Location

(R 5:15PM - 8:00PM)

Brief description: "This course focuses on the fundamental issue of identification in econometrics and covers modern econometric models and techniques, including asymptotic theory, M-estimation, maximum likelihood methods, Generalized Method of Moments, pseudo-maximum likelihood methods, quantile regression, and empirical likelihood methods. While emphasizing econometric theory and asymptotic properties, students will also apply these techniques to various data sets and conduct Monte Carlo simulations to evaluate the finite sample performances of different estimators and testing procedures."

Topics covered: M-Estimation; Maximum Likelihood; Pseudo-Maximum Likelihood; Nonlinear Least Squares; Generalized Method of Moments (GMM); Quantile Regression; Empirical Likelihood Estimation; Monte Carlo; Treatment Effect.

Location

(W 9:00AM - 11:30AM)

The topics covered in the course include the theories and applications of multidimensional mechanism design with and without transferable utility, dynamic mechanism design, and continuous-time games and contracting. The topics are chosen for their potential to inform the design of efficient economic institutions.

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(R 5:00PM - 7:30PM)

Cooperative games: axiomatic bargaining theory, games in coalitional function form, Core, Shapley value. Noncooperative games: Nash equilibria, dominance equilibria, Bayesian equilibria. Application to economics.

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(M 12:30PM - 4:00PM)

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(M 3:30PM - 5:00PM)

This is a doctoral level course in macroeconomics. Topics covered in the course are aggregate implications of financial imperfections. We will review recent papers on the implications of financial imperfections on business cycles, asset prices, government policies, firms and open economy issues.

Location

(M 12:00PM - 1:30PM)

(T 9:00AM - 10:30AM)

The focus of this course is on studying macroeconomic models with many types of households and firms. Models of capital, labor, financial, and marriage markets are presented. Issues such as adoption of new technologies, the determination of asset prices, marriage and divorce, and unemployment are studied. The development of the mathematical and computational skills required to do state-of-the-research in macroeconomics is stressed.

Location

(W 5:15PM - 8:00PM)

This is a second-year Ph.D. course in computational methods. The course is part of the Macroeconomics field. The primary objective is to teach students methods and techniques for solving macroeconomic models, with an emphasis on heterogeneous-agent models. Besides learning these methods, an important goal of the course is to enable students to apply these techniques efficiently and accurately. To this end, a large fraction of the course will focus on parallelization (both on CPUs and GPUs). The entire course will be taught in Julia.

At the end of the semester, as a final exam, students are required to submit a replication analysis of a published paper (or a section of it) or an application of one of the techniques taught during the semester. This application can be for a very simple and stylized model. Since many recent papers have their codes published, students should inform me in advance about the paper they intend to replicate. In addition to the final exam, there will be one or two homework assignments during the

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(T 4:30PM - 7:30PM)

Presentations by PhD students of dissertation work in progress

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(R 12:30PM - 1:45PM)

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(R 3:30PM - 5:00PM)

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(T 11:05AM - 12:20PM)

Description: This is an advanced Ph.D level course on international trade. It covers recent quantitative work in the fields of international trade and spatial economics, broadly defined. We will develop theoretical models, evaluate their ability to capture key stylized facts, show how to estimate their parameters, and demonstrate their use in performing counterfactual analysis. We will cover quantitative general equilibrium frameworks for quantifying the welfare gains from trade, general equilibrium frameworks for trade policy analysis, spatial general equilibrium models of trade, and dynamics frameworks with labor market dynamics, capital accumulation, and growth, among other topics. The course involves a mix of theory, data, and computation.

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(MW 9:00AM - 10:15AM)

Faculty and Students will go through a series of recent working papers in macroeconomics with emphasis on quantitative and empirical topics.

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(F 11:15AM - 12:15PM)

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(T 5:00PM - 6:30PM)

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(T 12:30PM - 1:45PM)

Faculty and students will go through a series of recent working papers in Econometrics.

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(T 12:30PM - 1:45PM)

Faculty and students will go through a series of recent papers in the analysis of elementary and secondary education in the United States. Topics include, but will not be limited to: education investment decisions of individuals and society; measuring the returns to education; the production of human capital with a focus on the role of school inputs' and evaluating recent k-12 education reforms (high-stakes testing, school choice, school finance) and higher education reforms (financial aid, affirmative

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(F 10:00AM - 11:15AM)

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(W 12:30PM - 1:45PM)

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(W 2:00PM - 3:30PM)

This course is for PhD students that have made arrangements with a faculty member to complete readings and discussion in a particular subject in their field of study.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

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( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course is designed for master's degree students who have completed all required coursework but still need to finalize specific degree requirements under less than half-time enrollment.

Location

( 7:00PM - 7:00PM)

This course provides master's students who are currently completing their final required coursework, or with special circumstances like an approved reduced courseload, with the opportunity to work full-time on their degrees. Students will make significant progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course affords graduate students visiting the University of Rochester full-time student status. Visiting students will engage in research, discussion, and/or professional training in partnership with an academic department or faculty member.

Location

( 7:00PM - 7:00PM)

This course affords graduate students visiting the University of Rochester full-time student status. Visiting students will engage in research, discussion, and/or professional training in partnership with an academic department or faculty member.

Location

( 7:00PM - 7:00PM)

This course affords graduate students visiting the University of Rochester full-time student status. Visiting students will engage in research, discussion, and/or professional training in partnership with an academic department or faculty member.

Location

( 7:00PM - 7:00PM)

This course is designed for PhD students who have completed all required coursework but still need to finalize specific degree requirements under less than half-time enrollment.

Location

( 7:00PM - 7:00PM)

This course provides PhD students who have completed or are currently completing 90 credits of coursework and have fulfilled all degree requirements (except for the dissertation) with the opportunity to work full-time on their dissertation. Students will make significant progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)