This course is designed for 3rd year undergraduate students and is taught in Japanese. English language is used for the blackboarding in the preparation for Advanced Econometrics (IEE.B 405).
The course aims to present and illustrate the theory and techniques of modern econometric analysis. Students will be able to explain causal inference and endogeneity.
Ordinary Least Squares, Endogeneity, Instrumental Variable, Panel Data
✔ Specialist skills | ✔ Intercultural skills | Communication skills | ✔ Critical thinking skills | Practical and/or problem-solving skills |
The first part begins with concepts of the regression. The second part examines concepts of the endogeneity, instrumental variable technique, and panel data analysis.
Course schedule | Required learning | |
---|---|---|
Class 1 | Orientation and introduction | Orientation and introduction |
Class 2 | Review | Review |
Class 3 | Linear projection model | Linear projection model |
Class 4 | Least square estimator | Least square estimator |
Class 5 | Finite sample properties | Finite sample properties |
Class 6 | Normal regression model | Normal regression model |
Class 7 | Endogeneity | Endogeneity |
Class 8 | Instrumental variable technique I | Instrumental variable technique I |
Class 9 | Instrumental variable technique II | Instrumental variable technique II |
Class 10 | Panel data analysis I | Panel data analysis I |
Class 11 | Panel data analysis II | Panel data analysis II |
Class 12 | Panel data analysis III | Panel data analysis III |
Class 13 | Review | Review |
Class 14 | Exercise II | Exercise II |
Class 15 | Final | Final |
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Nishiyama, Shintani, Kawaguchi, and Okui. Econometrics: Statistical Data Analysis for Empirical Economics. Yuhikaku, 2019. (in Japanese)
Bruce E. Hansen. Econometrics. University of Wisconsin, 2022.
西山・新谷・川口・奥井(2019)『計量経済学』,有斐閣
Final 100%
The prerequisites for this course are Statistics for Industrial Engineering and Economics (IEE.A205), Probability for Industrial Engineering and Economics (IEE.A204), and Econometrics I (IEE.B207).