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Measuring inequality of subjective well-being: A Bayesian approach

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/47241

Title: Measuring inequality of subjective well-being: A Bayesian approach
Authors: Hasegawa, Hikaru1 Browse this author →KAKEN DB
Ueda, Kazuhiro2 Browse this author
Authors(alt): 長谷川, 光1
上田, 和宏2
Keywords: Bayesian ordered probit model
Markov chain Monte Carlo (MCMC)
Regretted subjective well-being
Issue Date: Oct-2011
Publisher: Elsevier Inc.
Journal Title: Journal of Socio-Economics
Volume: 40
Issue: 5
Start Page: 700
End Page: 708
Publisher DOI: 10.1016/j.socec.2011.05.009
Abstract: This article proposes a new measure for inequality of subjective well-being and shows the empirical results using a Bayesian ordered probit model. We introduce a new concept called \regret" as a measure for inequality of subjective well-being. Regret is the probability with which a respondent who chooses an option in a multiple-choice question pertaining to subjective well-being does not choose any other option indicative of better well-being. Regret is estimated in connection with demographic factors using the Markov chain Monte Carlo (MCMC) method and data of the World Values Survey. Furthermore, the relationships between regret and GDP per capita and the changes therein are shown to investigate those between inequality of subjective well-being and economic conditions.
Type: article (author version)
URI: http://hdl.handle.net/2115/47241
Appears in Collections:経済学院・経済学研究院 (Graduate School of Economics and Business / Faculty of Economics and Business) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 長谷川 光

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