Econometrics (II)

This is the second sequence course of econometrics. We will cover topics regarding several practical aspects of the linear regression model, in particular, we will consider the cases when one or more of the classical regression assumptions are relaxed or not fulfilled. We will also introduce econometric models that aim at rectifying the problems stated previously. The purpose of this course is to help students deal with practical consequences when the classical regression assumptions violate, and how to correct problems if there is any. In addition, students will learn how to make use of these tools to perform empirical study. The class will be proceeded in two ways: lectures and computer hands-on (take place at Computer and Network center). We will use Microsoft Excel with data examples for data analysis and modeling.