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ECONOMETRICS A
| Subtitle | Intermediate Econometrics |
|---|---|
| Lecturer(s) | TANAKA, TATSUO |
| Credit(s) | 2 |
| Academic Year/Semester | 2023 Spring |
| Day/Period | Tue.1 |
| Campus | Mita |
| Class Format | Face-to-face classes (conducted mainly in-person) |
| Registration Number | 42790 |
| Faculty/Graduate School | ECONOMICS |
| Department/Major | ECONOMICS Type A, B |
| Year Level | 3, 4 |
| Field | MAJOR SUBJECTS |
| Course Description | The course introduces the theory and applications of basic econometric methods for conducting empirical economic research, such as multiple regression analysis, control variable methods, and panel data analysis, and provides practical training using statistical programs. |
| K-Number | FEC-EC-34112-211-07 |
| Course Administrator | Faculty/Graduate School | FEC | ECONOMICS |
|---|---|---|---|
| Department/Major | EC | ECONOMICS | |
| Main Course Number | Level | 3 | Third-year level coursework |
| Major Classification | 4 | Major Subjects Course- Core Course | |
| Minor Classification | 11 | Lecture - Econometrics and Statistics | |
| Subject Type | 2 | Elective required subject | |
| Supplemental Course Information | Class Classification | 2 | Lecture |
| Class Format | 1 | Face-to-face classes (conducted mainly in-person) | |
| Language of Instruction | 1 | Japanese | |
| Academic Discipline | 07 | Economics, business administration, and related fields | |
Course Contents/Objectives/Teaching Method/Intended Learning Outcome
This course provides intermediate econometric techniques used in empirical analysis, including least square estimation, serial correlation, simultaneous equation, granger causality,panel data analysis, logit regression and difference-in-difference approach. We focus on practical training using personal computer and statistic package of either Stata or R. Grade is determined by the terminal paper test and a report of empirical analysis.
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