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2015 Fiscal Year Final Research Report

A Bayesian Markov switching almost ideal demand systems model, model selection, and its applications

Research Project

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Project/Area Number 25590051
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Economic statistics
Research InstitutionUniversity of Tsukuba

Principal Investigator

KANAZAWA Yuichiro  筑波大学, システム情報系, 教授 (50233854)

Project Period (FY) 2013-04-01 – 2016-03-31
KeywordsBayesian estimation / Markov switching / AIDS model / Maximum likelihood / Hamilton filter / Markov chain Monte Carlo / Gibbs sampler / Multi move sampler
Outline of Final Research Achievements

In 2012,we published a paper "Another view of impact of BSE crisis in Japanese meat market through the almost ideal demand system model with Markov switching" in Applied Economics Letters, 19, in which we applied a maximum likelihood estimation of a Markov-switching almost ideal demand system (MS-AIDS) model proposed by Allais and Nichele in 2007. Frustrated with many limitations associated with their method encountered in this paper, we went on to develop a Bayesian estimation for MS-AIDS model and illustrate applicability of our proposed method in simulation as well as in empirical study in a paper "Estimating the Markov-Switching Almost Ideal Demand Systems:A Bayesian Approach," published in Empirical Economics in 2014. Our proposed method overcomes many limitations associated with the method by Allais and Nichele. Notably our model is able to capture the regime shifts of meat demand coinciding with the timing of bovine spongiform encephalopathy (BSE) cases in Japan and US.

Free Research Field

計量経済学

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Published: 2017-05-10  

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