ECON 266: International Trade I
This course covers the causes and consequences of international trade and the economic analysis of trade policy. The first part of the course focuses on neoclassical theories of international trade, trade under monopolistic competition, and trade policy. The second part of the course examines empirical evidence on the determinants of international trade, models of heterogeneous firms in differentiated product markets, variable markups, and quantitative models of international trade.
Terms: Aut
| Units: 3-5
Instructors:
Bagwell, K. (PI)
;
Redding, S. (PI)
ECON 267: Topics in International Trade and Spatial Economics
The course will cover frontier tools and topics in international trade and spatial economics, with a focus on developing quantitatively oriented trade and geography models, and their mapping to the data. The final part of the course will focus on applications of these tools to environmental economics and climate change.
Terms: Win
| Units: 2-5
ECON 268: International Finance and Exchange Rates
Benchmark open economy models. Solution methods for macroeconomic models. Analysis and evaluation of quantitative macroeconomic models. Main applications: Sovereign debt and default; Financial crises and sudden stops; Hedging, interest parity relationships, and the determination of exchange rates; Liability dollarization.
Terms: Spr
| Units: 3-5
Instructors:
Maggiori, M. (PI)
;
Bocola, L. (SI)
ECON 269: International Finance and Exchange Rates II
This is the second half of the international finance sequence. Part I: intertemporal approach to the current account, international real business cycle models, international risk-sharing, gains from financial integration, global imbalances, and exchange rate determination. Part 2: open-economy monetary models and currency unions. Part 3: international finance policy, capital controls and foreign exchange interventions. Part 4: sovereign debt. . Prerequisites:
Econ 210, 211, 212 and 268.
Last offered: Spring 2025
| Units: 3-5
ECON 270: Intermediate Econometrics I
Probability, random variables, and distributions; large sample theory; theory of estimation and hypothesis testing; linear econometric models. Enrollment is limited to Econ PhD students for the first two weeks of open enrollment, after which the remaining space will be available to all other interested students. Prerequisites: probability and statistics at the level of Bruce Hansen's textbook "Probability and Statistics for Economists.
Terms: Aut
| Units: 2-5
Instructors:
Imbens, G. (PI)
;
Vicol, S. (TA)
ECON 271: Intermediate Econometrics II
Second course in the PhD sequence in econometrics at the Economics Department (as
Econ 271) and at the GSB (as
MGTECON 604). This course presents modern econometric methods with a focus on panel regression, machine learning, and time series. Among the topics covered are: estimation and linear regression recap; panel data methods including differences in differences, event studies, fixed-effect models, synthetic control; machine learning methods including supervised and unsupervised learning; uses of machine learning as a tool in econometrics and causal inference; statistical decision theory including econometrics with misaligned preferences; time-series models including state-space models and dynamic stochastic general equilibrium models.
Terms: Win
| Units: 3-5
ECON 272: Intermediate Econometrics III: Methods for Applied Econometrics
Econ 272 continues the graduate first-year sequence in econometrics by reviewing and organizing core tools into a unified theoretical framework, with an emphasis on identification, asymptotic inference, and modern estimation methods used in empirical research. Topics may include identification and misspecification; asymptotic normality-based statistical inference; generalized method of moments and extremum estimation; discrete choice models; nonparametric regression (including regression discontinuity); and panel data and large-scale inference. Students who do not meet the prerequisite may seek permission from instructor to enroll.
Terms: Spr
| Units: 3-5
Instructors:
Chen, K. (PI)
ECON 273: Advanced Econometrics I
Possible topics: parametric asymptotic theory. M and Z estimators. General large sample results for maximum likelihood; nonlinear least squares; and nonlinear instrumental variables estimators including the generalized method of moments estimator under general conditions. Model selection test. Consistent model selection criteria. Nonnested hypothesis testing. Markov chain Monte Carlo methods. Nonparametric and semiparametric methods. Quantile Regression methods.
Terms: Aut
| Units: 3-5
Instructors:
Hong, H. (PI)
ECON 274: Advanced Econometrics II
(Formerly 273B); Possible topics: nonparametric density estimation and regression analysis; sieve approximation; contiguity; convergence of experiments; cross validation; indirect inference; resampling methods: bootstrap and subsampling; quantile regression; nonstandard asymptotic distribution theory; empirical processes; set identification and inference, large sample efficiency and optimality; multiple hypothesis testing; randomization and permutation tests; inference for dependent data.
Terms: Spr
| Units: 3-5
Instructors:
Romano, J. (PI)
ECON 275: Economics-Based Econometrics
This course presents methods for constructing econometric specifications and systems directly based on economic models. One such approach formulates stochastic economic models that give rise to empirically implementable econometric models. The discussion will cover methods for estimating, diagnostic testing, and drawing inferences about the underlying economic primitives, including both parametric and non-parametric identification of economic structures. Applications include models from all fields of empirical microeconomics Industrial Organization, Labor, Public Finance, and Energy and Environmental Economics. Examples include: consumer demand models integrating corner solutions, intertemporal models of household and firm behavior, and dynamic models of single and multi-agent interactions with complete and incomplete information. These include auction markets, oligopolies, regulator-firm interactions, and nonlinear pricing.. The major theme of the course is to present a general framework for economic theory-based empirical research that allows researchers to recover the underlying economic primitives driving observed outcomes of an economic environment. Prerequisites:
Econ 202, 203, 204, 270, 271, 272.
Last offered: Autumn 2020
| Units: 3-5