Development of Methods for Analyzing the Factors in Economic Growth via Bayesian Statistical Models and Applications
| Project/Area Number |
21530193
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Economic statistics
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| Research Institution | Obihiro University of Agriculture and Veterinary Medicine |
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Principal Investigator |
KYO Koki 帯広畜産大学, 畜産学部, 教授 (70254662)
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| Co-Investigator(Kenkyū-buntansha) |
野田 英雄 山形大学, 人文学部, 准教授 (90347724)
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| Project Period (FY) |
2009 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2011: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2009: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Keywords | ベイズモデル / 平滑化事前分布 / 経済時系列分析 / 経済成長 / 動的生産関数 / ベイズ統計モデル解析 / 経済時系列解析 / 構造変化 / 失業の構造分析 / 全要素生産性 / ベイズ的統計モデル解析 / ベイズ型モデル平均化 / 経済時系列 |
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| Research Abstract |
We constructed production function models with time-varying structure and developed methods for parameter estimation based on a Bayesian smoothness priors approach. The Bayesian models are applied to data for Japan, US, China, South Korea and Taiwan. Our proposed methods can be applied widely as a promising approach for empirical analyses of economic growth. The main feature is that time-varying total factor productivity (TFP) and time-varying elasticities of output with respect to factors of production can be estimated accurately.
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Report
(4 results)
Research Products
(49 results)
