2011 Fiscal Year Final Research Report
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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| Project Period (FY) |
2009 – 2011
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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 |
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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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Research Products
(24 results)
