2009 Fiscal Year Final Research Report
Bayesian Analysis on Dynamic Multivariate Discrete Choice Models and Its Applications
| Project/Area Number |
19530177
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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 | Hokkaido University |
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Principal Investigator |
HASEGAWA Hikaru Hokkaido University, 大学院・経済学研究科, 教授 (30189534)
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| Project Period (FY) |
2007 – 2009
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| Keywords | ベイズ統計学 / MCMC / 多変量順序プロビット / 動学的順序プロビットモデル |
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| Research Abstract |
In this research project, I consider the Bayesian method for estimating the multivariate ordered probit model and the dynamic panel ordered probit model. Further, I propose a method for estimating the coefficients of ordinal endogenous explanatory variables from the posterior results obtained for multivariate ordered probit model. I apply the methods to the estimation of subjective well-being equations by using the micro-level survey data. Since one of the merits of Bayesian analysis is that the value of latent variable for probit models can be obtained directly from the posterior results, I propose a new inequality measure for subjective well-being by using the posterior results.
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