Econometric Analysis

Description

Teaching Objectives: This course examines what happens when conditions are less than ideal due to departures from the assumptions necessary for ordinary least squares to be the best linear unbiased estimator, and then provides alternative regression techniques that address problems arising from violations of the basic assumptions. It will begin with a review of estimation and inference principles, mainly OLS estimation methods and testing procedures. This is an application econometrics course. The programming software will help students carry out an empirical project. Some programming software that can be used in this course includes Eviews, SPSS, and Stata. Students should be able to operate one after this course. Teaching Content: 1. Why Study Econometrics 2. What is Econometrics About 3. The Econometric Model 4. How Do We Obtain Data 5. Statistical Inference 6. A Research Format. Grading: Homework or quiz and classroom reactions (20%), Mid-term presentation (40%), Final presentation (40%). Required textbooks and references: Principles of Econometrics 4/E 2012 (ISV) by Hill/Griffiths/Lim, ISBN: 9780470873724, 2012; Wooldridge, Jeffrey M. (2006). Introductory Econometrics: A Modern Approach, 3rd edition; Stock, James H. and Mark W. Watson (2003), Introduction to Econometrics; Gujarati, Damodar N. (2003), Basic Econometrics, 4th edition; Greene, William H. (2003), Econometric Analysis, 5th edition.