Applied Econometric Analysis Using Cross Section and Panel Data

Deep Mukherjee is Associate Professor at the Department of Economic Sciences of Indian Institute of Technology (IIT) Kanpur. He obtained Ph.D. in Agricultural & Resource Economics from the University of Connecticut and M.S. in Quantitative Economics from the Indian Statistical Institute (ISI). His research and teaching interests lie in applied microeconomics and quantitative policy analysis. He has conducted significant fieldwork as part of research in the form of extension visits, focus group discussions, and household surveys in various parts of India. Prior to joining PhD program, he worked for GE Capital International Services (now, Genpact) as Business Analyst.

• Count Data Regression: Modelling Diversification in Sports Participation in Spain.- Modeling and Analysis of Discrete Response Data: Applications to Public Opinion on Marijuana Legalization in the United States.- Random Logit Model: An application to demand estimation for differentiated product.- Tobit Regression Analysis of Farmer Adoption Behavior: A Case from El Salvador.- Multiple Hurdle Tobit: Modelling Consumer Behaviour in the US.- Quantile Regression and Decomposition Techniques to Analyse Nutritional Demand in India.- Mixture Models to Infer Income Class Membership in India.- A Primer on Spatial Regression Models: Applications to Poverty and Inequality of Indian Districts.- Nonparametric and Semiparametric Regressions: An Empirical Investigation of Engel’s Law in the context of Brazil.- Copula-based dependence modelling with application in finance.