The aim of the course is to make the students familiar with the
most fundamental concepts and results of game theory. This forms the first part of a sequence of two courses on game theory. On successful completion of this course (and the subsequent second part of the course), the students are expected to make clear how game theory and mechanism
design can be applied to their own research. Our intention is
to present the theory with formal proofs of the main theorems including a number of
examples and short questions to enliven the presentation. The course will also include
a number of elaborate exercises, enabling the students to apply these concepts in problem settings.

The course builds on microeconomic and mathematical tools to formalize decision-making by economic agents under different environments, e.g. framing, uncertainty, competitive bidding, tacit collusion etc. Starting from the basic models of consumer’s behavior, the course aims to build advanced theoretical tools to analyze behavioral aspects of physical and virtual market. Various cases (e.g. online purchase, e-auctions, spectrum auctions, tacit business-links etc.) from recent marketing literature would be analyzed with respect to decision-theoretic tools established in the course.

Economics has a significant component of experimentation and data analytics. This course introduces students to experimental methods and computational techniques using real life data. Data analysis and experimental methods of analysis feature prominently in this course.

The objective of this course is to provide introduction to econometric theory and practice. The linear regression model is the main focus of this course. The topics covered in the course include Gauss-Markov assumptions, Small and Large sample properties of least square estimator. Then we proceed to violation of assumptions of Gauss-Markov Theorem, which include heteroskedasticity, autocorrelation, measurement error, omitted variables and simultaneity. We also cover generalized regression models, endogeneity and instrumental variable estimation, limited dependent variable models. We also introduce basic econometric methods with time series and panel data.

Basics of sample survey; variance and covariance; correlation coefficient; simple regression analysis; Gauss-Markov theorem; estimation of regression coefficients; confidence intervals and hypothesis testing in regression analysis; type-I and type-II errors; transformation of variables; multiple regression analysis; multicollinearity, heteroscedaticity, dummy variables, basics of time-series analysis.

Though empirical questions are central in motivating the issues on distribution, this course will mostly draw from theory. Papers published in established journals will cover the major references for this course. It will start from some empirical pattern of development (Kuznet‘s hypothesis), country experiences, etc. to motivate the subject. Then it will try to understand the process of distribution, growth and structural change using standard macroeconomic models. This course will be heavily dependent on Mathematics - mainly calculus.

On successful completion of this course, a student should be able to understand the important economic reasons for enormous worldwide disparities in income levels and standards of living. Using a selection of the most important papers currently on the frontier of in this field, we will explore two particular questions: 1) Why do people in some countries live prosperous lives, while those in others reel under poverty? and 2) What are potential policies which can improve the lives of the poor? Topics of particular interest are those relating to institution, culture, gender, health, political economy, corruption and conflict.

This course deals with the economics of development, focusing on both the theoretical debates and experiences of economic transformations from various parts of the world. It aims to equip the students with an understanding of structural transformation, development planning, agriculture-industry linkages, industrialization debates, and international trade and finance. Students will also be made familiar with issues of poverty, distribution, and social development

This module introduces students in economics and other social sciences to game theory, a theory of interactive decision making. This module provides students with the basic solution concepts for different types of non-cooperative games, including static and dynamic games under complete and incomplete information. The basic solution concepts that this module covers are Nash equilibrium, subgame perfect equilibrium, Bayesian equilibrium, and perfect Bayesian equilibrium. This module emphasizes the applications of game theory to economics, such as duopolies, bargaining, and auctions.

This course will introduce students to advanced topics in Economics as decided by the instructor.