This is an advanced level course in trade. The objective of this course would be to give adequate training to graduate students in economics (and related disciplines) to bring them to the forefront of knowledge in international trade and prepare them to undertake independent work in the areas of trade theory and policy.

Economics has a significant component of experimentation and data analytics. This course covers advanced topics of economics laboratory course as a continuation of economics laboratory I course. We cover experimental methods and computational techniques using real life data. Data analysis and experimental methods of analysis feature prominently in this course.

Primary objective of this course is to introduce students with the process of economic growth and the long run sources of differences in economic performances across nations. Emphasis will be placed on developing theoretical toolkit in understanding growth mechanics. It is intended that this course will make students learn some of the workhorse models in modern macroeconomics, namely - Solow-Swan model, endogenous growth models, Keynesian and heterodox models, etc.

The primary objective of this course is to provide an advanced treatment of econometric methods for cross section and panel data including linear and non-linear models. Some selected topics are instrumental variable estimation, estimation of system of equations, estimation of panel data models, maximum likelihood estimation, generalised method of moments, discrete response models, censored regression models and estimation of average treatment effects.