This course will cover time series econometrics and forecasting with focus on applications in macroeconomics and international finance. It introduces students to time series regression models, its estimation, inference and forecasting. The objective of the course is for students to get hands-on experience with analyzing economic time series data. Accordingly, the emphasis of the course is on empirical applications.

This forms the second part of two-part game theory course intended for the masters program at IIT Delhi. After formalization of standard game theory models and some examples in game theory 1, in this course, we introduce concepts of cooperative game theory and advanced topics such as mechanism design and implementation theory. After studying this course the students are expected to be comfortable in reading the journal articles on game theory, mechanism design, and implementation theory and also develop fresh models to close the gaps in the existing literature or ideate problems in these fields.

Estimation and inference in two variable model; OLS assumption; Extension of the two variable model; OLS assumption : autocorrelation, multicollinearity, and heteroskedasticity, models with limited dependent variables : LPM, log it, and probit; Panel data modelling: fixed effect and random effect models; Time series analysis : introduction to non-stationarity, AR and MA modelling.

The course will introduce students to selected topics in Economics as decided by the instructor.

This research seminar course provides a forum for students to discuss and generate ideas on issues related to a variety of economic problems. Students conduct an in-depth study of a research topic of their choice under the guidance of faculty members. This prepares the students to undertake project work in subsequent semester. Discussion of issues with experts in the field of research is the central component of this course. Attending talk by faculty members, PhD scholars and invited speakers in seminar series is compulsory. The students will be asked to prepare review report of a paper presented in the seminar. They learn to work in discussion groups, debate and problem solve on selected issues. In the research seminar, the students are given an opportunity to integrate their knowledge, skills and practical experience gained in the program.

This course is the second (final) part of two semester long research project for M.Sc. (Economics) students. The students engage in collaborative research with a faculty guide. The objective is to prepare students in identifying research problems, formulating research questions, analysing them, and writing the final dissertation.

This course is the first part of two semester long research project for M.Sc. (Economics) students. The students engage in collaborative research with a faculty guide. The objective is to prepare students in identifying research problems, formulating research questions, analysing them, and writing the final dissertation.

This course will introduce students to methods of quantitative economic research using primary and secondary data source. The purpose is to provide training for Ph.D. scholars in the department.

This course will introduce students to methods of quantitative economic research using primary and secondary data source. The purpose is to provide training for Ph.D. scholars in the department

The course is aimed at developing an understanding of the basics in Public Economics and Public Finance. Public economics is the study of government policy from the points of view of economic efficiency and equity. The course deals with the nature of government intervention and its implications for allocation, distribution and stabilization. Inherently, this study involves a formal analysis of government taxation and expenditures. The subject encompasses a host of topics including public goods, market failures and externalities. The course is divided into two sections, one dealing with the theory of public economics and the other with the Indian public finances.