Introduction

This course serves as a bridge between an introduction to the field of econometrics and research literature in business and social sciences. It focuses on theoretical background as well as applied econometrics, offering a rigorous grounding for practice in one or more specialized economics or business areas. The student will gain an appreciation of the common foundation of econometric methods.

Prerequisites: School of Business PhD students or MGT700 Econometrics. Note: the course strongly emphasizes on econometric theory and advanced empirical research applications.

Course Outcomes

By the end of this course, the students will be able to:

1. Understand the fundamental concepts of econometrics from a theoretical perspective.
2. Recognize and avoid common flaws in implementation and interpretation of econometric analysis
3. Be able to identify and implement econometric analyses appropriate for causal inference in empirical studies
4. Be proficient in using statistical software
5. Communicate and critique insights that can or cannot be drawn from econometric analyses

Textbook

• Hansen, Bruce E., 2022, Econometrics (Princeton University Press)
• Angrist, Joshua D., and J´’orn-Steffen Pischke, 2009, Mostly Harmless Econometrics: An Empiricist’s Companion (Princeton University Press)
• Greene, William, 2017, Econometric Analysis (Pearson), 8th edition
• Amemiya, Takeshi, 1985, Advanced Econometrics (Harvard University Press)
• Hayashi, Fumio, 2001, Econometrics (Princeton University Press)
• Ruud, Paul A., 2000, An Introduction to Classical Econometric Theory (Oxford University Press)
• Kennedy, Peter, 2008, A Guide to Econometrics (Wiley-Blackwell), 6th edition
• Wooldridge, Jeffrey M., 2019, Introductory Econometrics: A Modern Approach (Cengage Learning),7th edition
• Wooldridge, Jeffrey M., 2010, Econometric Analysis of Cross Section and Panel Data (MIT Press),2nd edition
• Hamilton, James Douglas, 1994, Time Series Analysis (Princeton University Press)

Grading Policies