Econometrics
Numbering Code | P-MGT75 60105 LE44 | Year/Term | 2022 ・ Second semester | |
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Number of Credits | 2 | Course Type | Lecture | |
Target Year | Target Student | |||
Language | English | Day/Period | Mon.4 | |
Instructor name | Ma Teng (Graduate School of Economics Program-Specific Senior Lecturer) | |||
Outline and Purpose of the Course | Econometrics introduces the regression methods for analyzing data in economics. This course covers both the theoretical and the practical aspects of statistical analysis. The goal is to help you develop a solid theoretical background in introductory level econometrics, the ability to implement the techniques and to critique empirical studies in economics. | |||
Course Goals | Students will learn linear models with cross-sectional data, difference-in-Differences estimation, and nonlinear models for cross-sectional and panel data in this course. | |||
Schedule and Contents |
This course begins with an introduction to the nature of econometrics and economic data, and introduces a framework for learning regression analysis with cross-sectional data. Next, it introduces panel data which includes several panel estimators: POLS, RE, FE, and FD. We then turn our attention to instrumental variables and endogeneity. The final section of this course provides an introduction to estimating the treatment effects. 1. The nature of econometrics and economic Data 2. The linear regression model and the OLS estimator 3. Properties of the OLS estimators 4. The introduction of multiple Regression analysis 5. The distribution of the OLS estimators and hypothesis testing 6. Asymptotic 7. Multiple regression analysis with qualitative information 8. Heteroskedasticity 9. Panel data: an introduction 10. Panel estimators: POLS, RE, FE, FD 11. Instrumental variables estimation and two-stage least squares 12. Estimation under sequential exogeneity: GMM 13. Estimating the propensity score 14. Estimating the treatment effects By the end of the course, you will be able to understand introductory econometric theory, and use these techniques to critique empirical studies in economics. |
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Evaluation Methods and Policy | Final exam | |||
Course Requirements | None | |||
Study outside of Class (preparation and review) | Prepare and review class contents (textbook). | |||
Textbooks | Textbooks/References |
Introductory Econometrics: A Modern Approach, Jeffrey M. Wooldridge, (Cengage Learning), ISBN:978-1-305-27010-7 Empirical Development Economics, Mans Soderbom, Francis Teal, Markus Eberhardt, Simon Quinn, Andrew Zeitlin , (Routledge), ISBN:978-0-415-81048-7 |