This course offers students in economics and other social sciences a firm foundation in the theory and methods of econometrics. The course teaches students the main tools of estimation and inference. Applications of econometric techniques will be illustrated by empirical examples based on economic analysis. Students will be given hands-on experience through computer lab sessions. The course begins with a thorough analysis of the simple linear regression model. It covers the estimation and hypothesis testing of regression coefficients, goodness-of-fit and prediction. The model is then extended to the multiple regression framework. Further topics such as diagnostic checking, functional forms, restricted estimation, dummy variables and structural change are discussed. In addition, the course provides an introduction to nonlinear models, models for panel data, and the matrix approach to the GLM.
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