Graduate Economics Courses
A brief description of the first year courses is provided here. Course content of the elective courses in the second year will depend upon the instructor.
First Year Courses
This course will focus on Game Theory and its applications to various microeconomic issues. Topics covered will include decisionmaking under uncertainty, strategic and extensive form games with complete information, Bayesian games, extensive form games with incomplete information. This course will also serve as a pre-requisite for Microeconomics 2 and concepts developed here will be extensively used for the economic analysis undertaken there.
• Tadelis : Game Theory : An Introduction
• Fudenberg and Tirole : Game Theory
How are economic allocations determined? This is perhaps the most central question in all of economics. This course will serve as a rigorous introduction to the theoretical body of work that economists use to address this question. The major focus will be on general equilibrium (GE) theory and the general competitive model, including its extensions to incorporate financial markets. Issues of asymmetric information in the context of the competitive model will also be covered. Besides this, the course will focus on some key theories in the areas of auctions, bargaining, money and banking, search and matching as they pertain to the central question of the course.
• Mas-Colell, Whinston and Green: Microeconomic Theory
• Kreps: Microeconomic Foundations 1
This course is an introduction to neoclassical growth, setting the theoretical foundations of modern macroeconomics. It will cover the theories of economic growth and long-run economic development and discuss how different factors such as human capital, physical capital, technology, trade, to name a few, contribute to economic growth. It will also deliberate over the empirical patterns which explain
why different countries grow along different paths. The course aims to equip student with tools and ideas behind dynamic economic analysis.
• Daron Acemoglu: Introduction to Modern Economic Growth
This course will provide an in-depth treatment of recursive methods that are employed in modern macroeconomics. Recursive representations of macroeconomic models are parsimonious and allow the computer to find the equilibrium solution to a model. To that end, students will be introduced to the theory of dynamic programming as well as its application to search models of labor, concepts of complete and incomplete markets, asset pricing, the savings problem and self-insurance, and fiscal-monetary theories of inflation. On the computation side, students will learn some numerical methods to solve for the equilibrium of such models using the programming language of Matlab.
• Adda and Cooper: Dynamic Economics - Quantitative Methods and Applications
• Sargent and Ljungqvist: Recursive Macroeconomic Theory
This course is designed to equip students to learn statistical tools for analyzing real life data, related to economics in particular and social sciences in general. It will equip students both with theoretical knowledge as well as the know-how of how to implement theory through software applications like STATA. The main thrust of the course will be on cross-section data analysis. The course will also serve as a pre-requisite for Econometrics 2.
• Wooldridge: Introductory Econometrics
• Wooldridge: Econometric Analysis of Cross Section and Panel Data
• Cameron and Trivedi: Microeconometrics using Stata
This course is on applied econometrics and will focus on introducing students to empirical methods used for policy evaluation in applied microeconomics research (such as labour, health, public, urban, education, environment and development economics). The course will cover topics such as causal inference, treatment effects, randomized controlled trials, differencing methods, instrumental variables, regression discontinuity design and matching methods. This course will involve surveying the existing literature on these empirical
methods as well as learning to apply these techniques using cross-sectional and panel datasets.
• Wooldridge, Econometric Analysis of Cross-Section and Panel Data.
• Cameron and Trivedi, Microeconometrics: Methods and Applications.
• Angrist and Steffen-Pischke: Mostly Harmless Econometrics
Quantitative Methods in Economics:
This course will focus on developing the mathematical tools that are used extensively in Microeconomics, Macroeconomics, and Econometrics. The course will cover the basics of real analysis, optimization, dynamic programming, and linear algebra.
• Sundaram: A First Course in Optimization Theory.
The course introduces students to analytical approaches to the study of development economics. It will develop basic concepts, theories and applied empirical evidence to provide an understanding of the main issues underpinning development economics. Topics covered include the economies of less developed countries, poverty traps, consumption and savings, human capital investment in health and education, the changes in poverty, demography, the lives of the poor, the roles of individuals, families, institutions and policies. The course also aims to equip students with an understanding of a range of empirical methods in development. It will illustrate how economic models can provide insights into understanding behaviour and how the empirical implications of models can be assessed with appropriate choice of research design and econometric methods.
• Banerjee, A., R. Bénabou, and D. Mookherjee: Understanding Poverty
Second Year Courses
The following is a tentative list of Second Year (Elective) Courses.
1. Advanced Game Theory.
2. Advanced Macroeconomics.
3. Decision Theory.
4. Behavioral Economics.
5. Experimental Economics.
6. Health Economics.
7. Time Series Analysis.
8. Public Economics.
9. Political Economy.
10. International Economics.
11. Industrial Organization.
12. Economic and Social Networks.
Students can also opt for a two course-credit Masters dissertation. In addition, they can opt for the J-PAL internship, and if selected, it amounts to four course credits.