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.
This is a refresher course scheduled at the beginning of the semester to brush up the students' quantitative skills.
Course Description: This is a two-credit course aimed to prepare MA Economics students for the first-semester compulsory courses. The course would revise key maths concepts like logic, sequences, series, multivariate functions, multivariate optimization, differential equations, matrix algebra probability through extensive problem-solving. We would also go into some introductory concepts in real analysis.
First Year Courses
This is a standard course in micro covering consumer theory under certainty and uncertainty, theory of the firm, competitive and non-competitive market structures, general equilibrium and welfare economics.
This is a course in game theory covering static and dynamic games of complete and incomplete information.
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. The course offers the standard infinite horizons model, the overlapping generations model and endogenous growth models.
How do macroeconomists explain short run macroeconomic fluctuations? And how does this inform macroeconomic policy? This course will provide an in-depth introduction to modern macroeconomic models of business cycles. We begin with a study of the canonical Real Business Cycle model – its assumptions, formulation, and solution methods. We cover the extensions needed to deal with the shortcomings of the canonical model with respect to labour markets and real dynamics. These extensions will cover various leading macroeconomic theories of labour markets, investment and consumption. Finally, we will study the extensions of the canonical model needed to account for the dynamics of nominal variables. The policy implications of these models will be studied throughout.
This course will provide a foundation in statistics for economists. The topics to be covered include elements of probability theory, random variable, distribution functions, transformation of random variables, law of large numbers, central limit theorem, statistical estimation, confidence interval and hypothesis testing. However, knowledge of basic algebra and calculus (single and multi-variable) is necessary.
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.
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.
The following is a tentative list of 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.
13. Computer Programming and Applications
Students can also opt for a two course-credit Masters dissertation.