2009 Fiscal Year Final Research Report

Bayesian Analysis on Dynamic Multivariate Discrete Choice Models and Its Applications

Research Project

Project/Area Number	19530177
Research Category	Grant-in-Aid for Scientific Research (C)
Allocation Type	Single-year Grants
Section	一般
Research Field	Economic statistics
Research Institution	Hokkaido University
Principal Investigator	HASEGAWA Hikaru Hokkaido University, 大学院・経済学研究科, 教授 (30189534)
Project Period (FY)	2007 – 2009
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
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.

(5 results)