printer friendly pageMGTECON 332: Analysis of Costs, Risks, and Benefits of Health Care
For graduate students. The principal evaluative techniques for health care, including utility assessment, cost-effectiveness analysis, cost-benefit analysis, and decision analysis. Emphasis is on the practical application of these techniques. Group project presented at end of quarter. Guest lectures by experts from the medical school, pharmaceutical industry, health care plans, and government.
Units: 4
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Grading: GSB Student Option LTR/PF
Instructors:
Owens, D. (PI)
;
Goldhaber-Fiebert, J. (SI)
MGTECON 600: Microeconomic Analysis I
This course provides an introduction to the foundations of modern microeconomic theory. Topics include choice theory, with and without uncertainty, consumer and producer theory, dynamic choice and dynamic programming, social choice and efficiency, and fundamentals of general equilibrium. Students interested in this course should consult the instructor by email: [email protected]
Units: 4
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Grading: GSB Student Option LTR/PF
Instructors:
Kreps, D. (PI)
MGTECON 603: Econometric Methods I
This is the first course in the sequence in graduate econometrics. The course covers some of the probabilistic and statistical underpinnings of econometrics, and explore in depth the large-sample properties of maximum likelihood estimators. You are assumed to have introductory probability and statistics and matrix theory, and to have exposure to basic real analysis. Topics covered in the course include random variables, distribution functions, functions of random variables, expectations, conditional probabilities and Bayes' law, convergence and limit laws, hypothesis testing, confidence intervals, and maximum likelihood estimation.
Units: 4
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Grading: GSB Letter Graded
Instructors:
Singleton, K. (PI)
MGTECON 606: Microeconomic Theory for Non-Economist PhDs
This course will be a first quarter PhD course in microeconomic theory, aimed at PhD students who do not plan to become professional economists. Relative to a course geared to economics PhDs the class will differ in two important ways. First, there will be almost no emphasis on proofs. Second, the topics covered will be broader than the standard set covered in say
Econ 202.
Units: 4
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Grading: GSB Letter Graded
Instructors:
Bulow, J. (PI)
MGTECON 610: Macroeconomics
This course covers various topics in macroeconomics and is designed to expose students to macroeconomic methods, classic papers in the field, and the latest research at the frontier. The current focus is on economic growth. Using theoretical and empirical tools, we consider questions like: How do we understand long-run growth in per capita income? Why are some countries so much richer than others? Other topics include misallocation as a source of TFP differences, the direction of technical change, growth and the environment, the rise in health spending, patenting, and international trade. This course satisfies the GSB PhD macro requirement.
Units: 4
|
Grading: GSB Letter Graded
Instructors:
Jones, C. (PI)
MGTECON 616: Topics in Game Theory
This is an advanced game theory course and requires a basic background in game theory or an advanced applied game theory course. The course covers foundational topics such as type spaces, modeling reasoning and rationality, game forms, solution refinements and more. A collection of additional topics will be covered independently via problem solving assignments in workshop style meetings with student presentations.
Units: 3
|
Grading: GSB Letter Graded
Instructors:
Feinberg, Y. (PI)
MGTECON 628: Reading Group in Industrial Organization
This course meets weekly on Tuesdays at Noon. The primary purpose of the course is to read and discuss current working papers in Industrial Organization and related fields (e.g., Econometrics, Marketing, and Labor). Students are required to present either a paper or their own work once per quarter. Both students and faculty attend and present.
Units: 1
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Grading: GSB Student Option LTR/PF
Instructors:
Benkard, C. (PI)
MGTECON 640: Quantitative Methods for Empirical Research
This is an advanced course on quantitative methods for empirical research. Students are expected to have taken a course in linear models before. In this course I will discuss modern econometric methods for nonlinear models, including maximum likelihood and generalized method of moments. The emphasis will be on how these methods are used in sophisticated empirical work in social sciences. Special topics include discrete choice models and methods for estimating treatment effects.
Units: 3
|
Grading: GSB Letter Graded
Instructors:
Imbens, G. (PI)
MGTECON 691: PhD Directed Reading (ACCT 691, FINANCE 691, GSBGEN 691, HRMGT 691, MKTG 691, OB 691, OIT 691, POLECON 691, STRAMGT 691)
This course is offered for students requiring specialized training in an area not covered by existing courses. To register, a student must obtain permission from the faculty member who is willing to supervise the reading.
Units: 1-15
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Repeatable for credit
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Grading: GSB Pass/Fail
Instructors:
Benkard, C. (PI)
;
Bulow, J. (PI)
;
Feinberg, Y. (PI)
;
Imbens, G. (PI)
...
more instructors for MGTECON 691 »
Instructors:
Benkard, C. (PI)
;
Bulow, J. (PI)
;
Feinberg, Y. (PI)
;
Imbens, G. (PI)
;
Jones, C. (PI)
;
Kreps, D. (PI)
;
Lambert, N. (PI)
;
Lazear, E. (PI)
;
Lyn, T. (PI)
;
Ostrovsky, M. (PI)
;
Oyer, P. (PI)
;
Reguant-Rido, M. (PI)
;
Reiss, P. (PI)
;
Shaw, K. (PI)
;
Skrzypacz, A. (PI)
;
Sugaya, T. (PI)
;
Yurukoglu, A. (PI)
MGTECON 692: PhD Dissertation Research (ACCT 692, FINANCE 692, GSBGEN 692, HRMGT 692, MKTG 692, OB 692, OIT 692, POLECON 692, STRAMGT 692)
This course is elected as soon as a student is ready to begin research for the dissertation, usually shortly after admission to candidacy. To register, a student must obtain permission from the faculty member who is willing to supervise the research.
Units: 1-15
|
Repeatable for credit
|
Grading: GSB Pass/Fail
Instructors:
Benkard, C. (PI)
;
Bulow, J. (PI)
;
Feinberg, Y. (PI)
;
Imbens, G. (PI)
...
more instructors for MGTECON 692 »
Instructors:
Benkard, C. (PI)
;
Bulow, J. (PI)
;
Feinberg, Y. (PI)
;
Imbens, G. (PI)
;
Jones, C. (PI)
;
Kreps, D. (PI)
;
Lambert, N. (PI)
;
Lazear, E. (PI)
;
Lyn, T. (PI)
;
Ostrovsky, M. (PI)
;
Oyer, P. (PI)
;
Reguant-Rido, M. (PI)
;
Reiss, P. (PI)
;
Shaw, K. (PI)
;
Skrzypacz, A. (PI)
;
Sugaya, T. (PI)
;
Yurukoglu, A. (PI)
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