Bayesian analysis of multivariate ordered choice models that accommodate individual heterogeneity

2015 Fiscal Year Final Research Report

• Project/Area Number: 25380261
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Economic statistics
• Research Institution: Hokkaido University
• Principal Investigator: Hasegawa Hikaru 北海道大学, 経済学研究科(研究院), 教授 (30189534)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: ベイズ統計学 / 順序選択モデル / MCMC / 個人の異質性

Outline of Final Research Achievements

In this research, I consider an ordered choice model that accommodates individual heterogeneity. In particular, using the simulation-based Bayesian method, I present an estimation method for the anchoring vignettes model proposed by King et al. (2004). Furthermore, I provide an extended model incorporating the dependence between the self-assessment and vignette components, and its estimation procedure. In addition, I consider an extended multivariate ordered probit model which includes continuous dependent variables as well as ordered dependent variables, and provides the Bayesian estimation method for it.

Free Research Field

計量経済学