14.283 Advanced Topics in Organizational Economics I (New) ( ) Prereq: 14.282 Units: 2-0-4 Builds on the work done in 14.282 to develop more in-depth analysis of topics in the field. R. Gibbons
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14.284 Advanced Topics in Organizational Economics II (New) ( ) Prereq: 14.282 Units: 2-0-4 Builds on the work done in 14.282 to develop more in-depth analysis of topics in the field. L. Garicano
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14.286J Health Economics Seminar ( ) (Same subject as HST.903J ) Prereq: 14.04 , permission of instructor Units: 3-0-9 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. J. E. Harris
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14.295J Collective Choice II ( ) (Same subject as 17.814J ) Prereq: 17.812J or permission of instructor Units: 3-0-9 Focuses on the relationship between the behavioral models developed by formal theorists and the statistical models used in empirical estimation. The main questions are: How do researchers make the link between theory and the data? How do they generate and estimate statistical models that allow careful testing of the behavioral models? What constitutes a good test of a model? Questions studied through reading and discussion of articles that combine both empirical and theoretical analysis. J. M. Snyder, Jr.
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14.296J Collective Choice I ( ) (Same subject as 17.812J ) Prereq: None Units: 4-0-8 Lecture: MW9-10.30 ( E51-390 ) Recitation: F11 ( E51-390 ) An applied theory subject analyzing political institutions from a rational choice perspective. The chief focus is the burgeoning literature on elections, legislatures, bureaucracies, and courts. Pays some attention to institutions from a comparative perspective. Advanced undergraduates may take subject with permission of instructor. J. M. Snyder, Jr.
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14.30 Introduction to Statistical Method in Economics ( , ) Prereq: Calculus II (GIR) Units: 4-0-8 Lecture: TR9-10.30 ( E51-372 ) Recitation: F10 ( E51-085 ) 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. Consult Department Headquarters
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14.32 Econometrics ( , ) Prereq: 14.30 Units: 4-0-8 Lecture: MW1-2.30 ( E51-376 ) Recitation: F1 ( E51-376 ) +final 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. Fall: S. Ellison Spring: W. Newey
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14.33 Research and Communication in Economics: Topics, Methods, and Implementation ( , ) Prereq: 14.04 , 14.05 , 14.32 Units: 3-4-5 Lecture: TR10.30-12 ( E52-232 ) 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. Fall: S. Ellison Spring: A. Finkelstein
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14.36 Advanced Econometrics ( ) Prereq: 14.30 , 14.32 Units: 4-0-8 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. J. Hausman
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14.381 Statistical Method in Economics ( ) Prereq: Calculus II (GIR) , permission of instructor Units: 4-0-8 Lecture: TR9-10.30 ( E51-057 ) Recitation: F9-10.30 ( E51-057 ) +final Introduction to probability and statistics as background for advanced econometrics and introduction to the linear regression model. Elements of probability theory; sampling theory; asymptotic approximations; decision-theory approach to statistical estimation focusing on regression, hypothesis testing; and maximum-likelihood methods. Simple and multiple regression, estimation and hypothesis testing. Illustrations from economics and application of these concepts to economic problems. Class size limited. V. Chernozhukov, A. Mikusheva
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14.382 Econometrics ( ) Prereq: 14.381 or permission of instructor Units: 4-0-8 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. Class size limited. J. Hausman
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14.384 Time Series Analysis ( ) Prereq: 14.382 or permission of instructor Units: 4-0-8 Lecture: TR2.30-4 ( E51-395 ) Recitation: F4-5.30 ( E51-390 ) 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, Bayesian methods. Class size limited. A. Mikusheva
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14.385 Nonlinear Econometric Analysis ( ) Prereq: 14.382 or permission of instructor Units: 4-0-8 Lecture: MW1-2.30 ( E51-151 ) Recitation: F1-2.30 ( E51-361 ) +final 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. Class size limited. V. Chernozhukov, W. Newey
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14.386 New Econometric Methods ( ) Prereq: 14.382 Units: 4-0-8 Focuses on recent developments in econometrics, especially structural estimation. Topics include nonseparable models, models of imperfect competition, auction models, duration models, and nonlinear panel data. Results illustrated with economic applications. W. Newey
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14.387 Topics in Applied Econometrics ( ) Prereq: 14.382 Units: 2-0-4 Covers core econometric ideas and empirical modeling strategies widely used in contemporary applied microeconomic research. Topics vary from year to year but typically include the interpretation and use of regression models, matching and the propensity score, instrumental variables methods, and statistical inference problems such as clustering. May also cover areas of special interest to class participants. J. Angrist
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14.389 Econometrics Paper ( ) Prereq: 14.382 or 14.32 Units: 0-0-3 Paper in econometrics required of all PhD candidates. Paper due at the end of IAP. J. Hausman
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14.391 Workshop in Economic Research ( ) Prereq: 14.124 , 14.454 Units: 2-0-10 [P/D/F] Recitation: M2.30-4 ( E52-244 ) or M4-5.30 ( E52-244 , E51-151 ) or T2.30-4 (HARVARD) or T4-5.30 ( E52-244 ) or W4-5.30 ( E51-151 ) or R EVE (4-6 PM) ( E51-151 , E53-482 ) or R2.30-4 ( E52-244 ) or R EVE (4.30-6 PM) ( E52-244 ) 14.392 Workshop in Economic Research ( ) Prereq: 14.124 , 14.454 Units: 2-0-10 [P/D/F] Develops research ability of students through intensive discussion of dissertation research as it proceeds, individual or group research projects, and critical appraisal of current reported research. Workshops divided into various fields, depending on interest and size. Consult E. Duflo
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Inventions and Patents ( ) (Offered under: 3.172 , 6.901 , 16.652 ) Prereq: 14.02 Units: 3-0-6 History of private and public rights in scientific discoveries and applied engineering, leading to the development of worldwide patent systems. The classes of invention protectable under the patent laws of the US, including the procedures in protecting inventions in the Patent Office and the courts. Reviews of past cases involving inventions and patents in a) the chemical process industry and medical pharmaceutical, biological, and genetic-engineering fields; b) devices in the mechanical, ocean exploration, civil, and/or aeronautical fields; c) the electrical, computer, software, and electronic areas, including key radio, solid-state, computer and software inventions; and also d) software protection afforded under copyright laws. Conducting periodic joint real-time class sessions and discussions by video-audio Internet conferencing, with other universities. Enrollment limited. Staff
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Management in Engineering ( ) (Offered under: 2.96 , 6.930 , 10.806 , 16.653 ) Prereq: None Units: 3-1-8 Introduction and overview of engineering management. Financial principles, management of innovation, technical strategy and best management practices. Case study method of instruction emphasizes participation in class discussion. Focus is on the development of individual skills and management tools. Restricted to juniors and seniors. H. S. Marcus
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Engineering Risk-Benefit Analysis ( ) (Offered under: 1.155 , 2.963 , 3.577 , 6.938 , 10.816 , 16.862 , 22.82 , ESD.72 ) Prereq: Calculus II (GIR) Units: 3-0-9 Emphasis on three methodologies pertaining to decision making in the presence of uncertainty: reliability and probabilistic risk assessment (RPRA), decision analysis (DA), and cost-benefit analysis (CBA). Risks of particular interest are those associated with large engineering projects such as the development of new products; the building, maintenance and operation of nuclear reactors and space systems. Presents and interprets some of the frameworks helpful for balancing risks and benefits in the situations that typically involve human safety, potential environmental effects, and large financial and technological uncertainties. Review of elementary probability theory and statistics included. G. E. Apostolakis
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Engineering Systems Analysis for Design ( ) (Offered under: 1.146 , 3.56 , 16.861 , ESD.71 ) Prereq: 1.145J or permission of instructor Units: 3-0-6 R. de Neufville
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Applications of Technology in Energy and the Environment ( ) (Offered under: 1.149 , 2.63 , 5.00 , 10.579 , 22.813 , ESD.174 ) Prereq: Permission of instructor Units: 3-0-9 Introduces advanced undergraduates or graduate students in the Schools of Engineering and Science to the integration of technical, economic, political, and environmental consideration required for the successful implementation of new technology. Case studies are drawn from the energy and environment sectors with some emphasis on analytic techniques that serve as a "tool box" for students. Technologies considered include fossil, nuclear, solar, wind, fuel cell and energy conservation. International aspects, such as weapons proliferation and global climate effects, also discussed. Enrollment limited. J. Deutch, R. Lester
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UPOP Summer Practice Experience ( , ) (Offered under: 1.EPE , 2.EPE , 3.EPE , 6.EPE , 10.EPE , 16.EPE , 22.EPE ) Prereq: 2.EPW or permission of instructor Units: 0-1-0 [P/D/F] Immerses engineering sophomores in the world of professional engineering experience by providing guided instruction in all aspects of the job acquisition process. Students complete a 10-12 week internship assignment during the summer, which includes maintaining a structured journal of observations and experiences, meeting with UPOP staff members, writing essays, and completing a self-evaluation. May be repeated twice for credit; spring term can be taken only in conjunction with fall term. S. Luperfoy
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UPOP Reflective Learning Experience ( ) (Offered under: 1.EPR , 2.EPR , 3.EPR , 6.EPR , 10.EPR , 16.EPR , 22.EPR ) Prereq: 2.EPE or permission of instructor Units: 0-0-3 [P/D/F] Reflective learning experiences for engineering juniors that serve as the culmination of their sophomore year in the UPOP program. Students review their internship experiences through written and oral presentations and receive small-group and individualized coaching to reinforce the cognitive link between all aspects of the UPOP experience and their disciplinary field of study. S. Luperfoy
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Innovation Teams ( , ) (Same subject as 15.371J ) Prereq: Permission of instructor Units: 4-4-4 Students work in teams to develop commercialization strategies for innovative research projects generated in MIT laboratories. Projects cover critical aspects of commercialization, from selecting the target application and market for the technology to developing an intellectual property strategy and performing a competitive analysis. Instruction provided in communication and teamwork skills, as well as analysis of the challenges and benefits of technology transfer. Includes lectures, guest speakers, and extensive team coaching. Designed primarily for students in engineering, science, and management. Applications, resumes, and a brief statement of interest are required prior to registration. F. Murray, L. Perez-Breva
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