| Project/Area Number |
16H07406
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Single-year Grants |
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| Research Field |
Economic statistics
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| Research Institution | The Institute of Statistical Mathematics |
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Principal Investigator |
Sugasawa Shonosuke 統計数理研究所, リスク解析戦略研究センター, 特任研究員 (50782380)
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| Project Period (FY) |
2016-08-26 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | 小地域推定 / 混合効果モデル / 階層ベイズ / 標本調査 / 変量効果 / 経験ベイズ / 経験ベイズ法 / 経済統計 |
|---|
| Outline of Final Research Achievements |
We developed new statistical models and theories for small area estimation based on mixed-effects models. Especially, we focused on the fact that the distributional assumption of random effects is not necessarily consistent with real data, and aimed to develop effective methods to solve the problem. In this research project, we developed small area models with data transformation, heteroscedastic variances, selection of random effects and link functions.
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