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Course Criteria
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2.00 Credits
Builds on the work done in 14.282 to develop more in-depth analysis of topics in the field.
Prerequisite:
Prereq: 14.282
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3.00 Credits
Advanced subject in economics of health care sector. Considers selected topics in depth, such as design and financing of health insurance, behavior of nonprofit hospitals, role of competition in the medical care market, determinants of technological change, and effects of government regulations.
Prerequisite:
Prereq: 14.04, permission of instructor
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4.00 Credits
Self-contained introduction to probability and statistics with some economic applications. Elements of probability theory, sampling theory, statistical estimation, and hypothesis testing. May not count toward HASS requirement.
Prerequisite:
Prereq: Calculus II (GIR)
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4.00 Credits
Introduction to econometric models and techniques, simultaneous equations, program evaluation, emphasizing regression. Advanced topics include instrumental variables, panel data methods, measurement error, and limited dependent variable models. Includes problem sets. May not count toward HASS requirement.
Prerequisite:
Prereq: 14.30
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3.00 Credits
Exposes students to the process of conducting independent research in empirical economics and effectively communicating the results of the research. Emphasizes econometric analysis of an assigned economic question and culminates in each student choosing an original topic, performing appropriate analysis, and delivering oral and written project reports.
Prerequisite:
Prereq: 14.04, 14.05, 14.32
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4.00 Credits
Covers a range of topics including duration models, discrete choice models, differentiated product models, count models and other advanced models that are used in a wide variety of applications in applied microeconomics, financial economics, and business economics. Mastery of one or more techniques taught in class demonstrated through the completion of an econometrics paper.
Prerequisite:
Prereq: 14.30, 14.32
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5.00 Credits
Introduction to probability and statistics as background for advanced econometrics and introduction to the linear regression model. Covers elements of probability theory; sampling theory; asymptotic approximations; decision-theory approach to statistical estimation focusing on regression, hypothesis testing; and maximum-likelihood methods. Includes simple and multiple regression, estimation and hypothesis testing. Illustrations from economics and application of these concepts to economic problems. Enrollment limited.
Prerequisite:
Prereq: Calculus II (GIR), permission of instructor
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5.00 Credits
Regression analysis, focusing on departures from the standard Gauss-Markov assumptions, and simultaneous equations. Regression topics include heteroskedasticity, serial correlation, and errors in variables, generalized least squares, nonlinear regression, and limited dependent variable models. Covers identification and estimation of linear and nonlinear simultaneous equations models. Economic applications are discussed. Enrollment limited.
Prerequisite:
Prereq: 14.381 or permission of instructor
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5.00 Credits
Studies theory and application of time series methods in econometrics, including spectral analysis, estimation with stationary and non-stationary processes, VARs, factor models, unit roots, cointegration, estimation of DSGE models, and Bayesian methods. Enrollment limited.
Prerequisite:
Prereq: 14.382 or permission of instructor
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5.00 Credits
Studies micro-econometric models, including large sample theory for estimation and hypothesis testing, generalized method of moments, estimation of censored and truncated specifications, quantile regression, structural estimation, nonparametric and semiparametric estimation, panel data, bootstrapping, and simulation methods. Methods illustrated with economic applications. Enrollment limited.
Prerequisite:
Prereq: 14.382 or permission of instructor
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