Available courses

This is beginning graduate (Ph.D.) level course in open economy macroeconomics with a focus on emerging market and developing economies. This course will be conducted online. 

This is a discussion class in the History of Economic Thought. There will be no lectures. Students are required to read the assigned readings before each class. Marks will be based on students' contributions to the discussions and a written final exam or term paper.

The first third of the course will cover the ideas of the classical economists beginning with Adam Smith and ending with Karl Marx. The remaining two-thirds will cover modern economic thought - 19th-century marginalism, neoclassical microeconomics, Keynesian macroeconomics, general equilibrium theory, neoclassical welfare economics, the information revolution and game theory, modern (post-1970s) macroeconomics, behavioral economics and finance, the empirical turn in economics.


This course deals with topics in Institutional Economics.

Incomplete Contracts and their Empirical Applications; Markups, Market Power, Collusion, Differentiated Goods and Asymmetric Information; Applications of IO methods to Developing/Transition Economies

This course deals with methods of causal identification in empirical work.

Macro 2 covers topics in macro-dynamics. 

Course Description

In this course, we will examine two broad topics:

  • How human capital (education in particular) affects the economy
  • Production function of Education

The course will examine these issues in the context of India, with its institutional constraints. The course will highlight modern tools of analyses to address important academic and policy questions in the context of education in India. We will focus more on the empirics, with the theory in the background.

Introduction to probability theory.

This is a non-credit course where students can learn essential ideas of programming that will be useful in other Statistics courses. The course introduces hands-on programming using R as the primary language, and also covers elementary concepts of correctness and run-time analysis of algorithms.

Linear Algebra covering topics like Algebra of Matrices, Elementary Operations, Rank, Determinant, Inner Product Spaces, Eigenvalues, Singular Value Decomposition, Quadratic Forms. The second part of the course will cover linear models, which will be lectured on by Prof. Saurabh Ghosh of ISI Kolkata. 

Statistics for Econ.

This is beginning graduate (Masters/Ph.D) level course in Macroeconomics. This course provides students with the analytical and quantitative tools used by modern macroeconomists today.  The course focuses on models with strong micro-foundations. The course develops both continuous time and discrete time techniques. The focus of the course is on understanding the analytics behind economic growth, business cycles, and current macroeconomic problems. 

This course will be conducted online.