Courses
While there are no required courses in the doctoral program in economics, students are expected to choose a sequence of courses that enables them to master the fundamental principles of economic theory and the quantitative tools required for basic and applied research. The series of core courses offered provides these fundamentals. These courses are listed below.
Students are urged to take these core courses unless they have mastered some portion of this material before coming to the Tepper School of Business. In addition to the core course, many students benefit from taking courses to strengthen their knowledge of probability, statistics, and mathematics. Suggested courses are also listed below. Students should consult with their advisor about whether to take these or other courses as part of their program of study at the business school.
Core Courses:
- 47-780 Mathematics for Economists
- 47-800 Microeconomics I
- 47-801 Microeconomics II
- 47-802 Macroeconomics I
- 47-803 Dynamic Competitive Analysis
- 47-805 Computational Methods for Economics
- 47-811 Econometrics I
- 47-812 Econometrics II
- 47-817 Game Theory and Applications
- 47-818 Economics of Contracts
Additional courses:
- 47-806 Experimental Economics
- 47-810 Business Cycles
- 47-821 International Macroeconomics
- 47-901 Advanced Economic Analysis I (Structural Models)
- 47-902 Advanced Economic Analysis II (Advanced Econometrics)
- 47-903 Advanced Economic Analysis III (Advanced Macroeconomics)
- 47-904 Advanced Economic Analysis IV (Public Economics)
Suggested courses in mathematics, statistics, and operations research:
- 36-701 Intermediate Probability
- 36-704 Statistical Decision Theory
- 21-620 Real Analysis
- 21-621 Introduction to Lebesgue Measure
- 47-936 Convex Analysis