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During the course, the emphasis will be on econometric practice.
Each chapter will begin with a clear theoretical overview followed by a step-by-step approach to using the EVIEWS software.
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1. Introduction of the lesson and EVIEWS software.
2. Ordinary Least Squares
3. Application of OLS with EVIEWS
4. The Classical Model I
5. The Classical Model II
6. Hypothesis Testing
7. Summary of 1-6 chapters
8. Mid-term Test
9. Violations of The Classical Assumptions I
10. Violations of The Classical Assumptions II
11. Violations of The Classical Assumptions III
12. Dummy Dependent Variable
13. Time-series Models I
14. Time-series Models II
15. Summary of 8-14 chapters
16. Final test
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The students are assumed to have background knowledge in basic statistics and computer.
The students will master the skills to use EVIEWS software to solve econometrics practical problems.
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Attendance 20%, homework and mid-term test 30%, final report/test 50%.
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【成績評価の基準表】
| 秀(S) | 優(A) | 良(B) | 可(C) | 不可(F) |
| 履修目標を越えたレベルを達成している | 履修目標を達成している | 履修目標と到達目標の間にあるレベルを達成している | 到達目標を達成している | 到達目標を達成できていない |
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履修目標：授業で扱う内容（授業のねらい）を示す目標
到達目標：授業において最低限学生が身につける内容を示す目標
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Prepared paper materials will be handed out during the class for reference.
The lesson presents hands-on examples for a wide range of econometric models, from classical linear regression models for cross-section, time series or panel data and the common non-linear models of micro-econometrics.
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