printer friendly pageECON 260: Industrial Organization III
Current research and policy questions in industrial organization. Course combines lectures by the instructors with student presentations, with an emphasis on initiating dissertation research in industrial organization. Prerequisites: 257, 258.
Terms: Spr
| Units: 2-5
Instructors:
Bresnahan, T. (PI)
;
Levin, J. (PI)
ECON 265: International Economics I
International macroeconomics and finance, emphasizing current research. The course is organized around the role of different types of frictions (in asset and goods markets) in explaining features of the international macroeconomy. Prerequisites: 202, 203, 204, 210, 211, 212.
Terms: Aut
| Units: 2-5
Instructors:
Fitzgerald, D. (PI)
ECON 266: International Economics II
Theory and empirics of the determinants of trade and comparative advantage, income distribution and gains from trade. Firm-level theories of trade and trade with imperfectly competitive markets. Commercial policies, the political economy of trade policy and the economics of trade agreements.
Instructors:
Staiger, R. (PI)
ECON 268: Topics in International Finance (ECON 168)
(Graduate students register for 268.) Monetary foundations of international exchange; the rules of the game since Bretton Woods. Foreign exchange risk under the world dollar standard. Hedging, forward covering, and interest parity relationships. International capital flows and the current account. Global trade imbalances; China and Japan versus the U.S. Inflation versus exchange rate targeting in developing countries. Prerequisite for undergraduates: 52; recommended: 165.
Terms: Win
| Units: 5
Instructors:
McKinnon, R. (PI)
ECON 270: Intermediate Econometrics I
Probability, random variables, and distributions; large sample theory; theory of estimation and hypothesis testing. Limited enrollment. Prerequisites: math and probability at the level of Chapter 2, Paul G. Hoel,
Introduction to Mathematical Statistics, 5th ed.
Terms: Aut
| Units: 2-5
ECON 271: Intermediate Econometrics II
Linear regression model, relaxation of classical-regression assumptions, simultaneous equation models, linear time series analysis. Limited enrollment. Prerequisite: 270.
Terms: Win
| Units: 2-5
Instructors:
Wolak, F. (PI)
;
Anderson, J. (TA)
ECON 272: Intermediate Econometrics III
Continuation of 271. Nonlinear estimation, qualitative response models, limited dependent variable (Tobit) models. Limited enrollment. Prerequisite: 271.
Terms: Spr
| Units: 2-5
Instructors:
MaCurdy, T. (PI)
;
Stetsenko, P. (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: 2-5
Instructors:
Hong, H. (PI)
ECON 274: Advanced Econometrics II
(Formerly 273B); Possible topics: nonparametric density estimation and regression analysis; sieve approximation; local polynomial regression; spline regression; 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.
Instructors:
Romano, J. (PI)
ECON 276: Limited Dependent Variables
(Formerly 274.) Parametric and semi-parametric approaches to the estimation of econometric models with discrete or limited dependent variables. Maximum likelihood, nonlinear panel data, duration models, rank estimation and index models, Bayesian approaches and MCMC. Estimation of discrete choice models with endogeneity, simulation methods and computationally intensive approaches. Estimation of social network models. Random matrix theory. Prerequisite: 273 or consent of instructor.
Terms: Win
| Units: 2-5
Instructors:
Harding, M. (PI)
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