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Empirical economic studies will be fruitless if the statistical data are faulty or inaccurate or unreliable. Therefore, new approaches continue to emerge among national and international statistical offices on data quality. A good statistical system is a prerequisite for high-quality data. The course emphasizes the comparative study of statistical systems.
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1. Introduction
2. Overview od statistical data
3. Quality of data
4. Recent topics on quality of data: A comparative study
5. Statistical system and data collection mechanisms
6. Administrative sources
7. Recent topics on data from administrative sources: A comparative study
8. Census type surveys
9. Sample surveys
10. Recent topics on statistical surveys: A comparative study
11. Examining data quality
12. Economic indicators compiled from a variety of data sources
13. GDP and input-output table
14. Non-observed economy
15. Review
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Students are required to conduct statistical analysis using a critically examined dataset.
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Attendance 30%, Homework 70%
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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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Materials will be handed out in the class.
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See, Articles on the IMF's Data Quality Reference Site
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Statistics, Data Quality, Statistical System
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