Self-Assessed Social Position and Poverty


Hokkaido University \| Library \| HUSCAP	Advanced Search		言語

	Home
	About HUSCAP
	Open Access Policy

	Browse by Author

Browse
	Communities & Collections

	Scholarly Journals
	Theses
	Doctoral Dissertations Listed by Graduate Schools
	Conference Procs.
	Events

	HUSCAP Senior (in Japanese)

	Societies

	Downloads (country)

For university staff
	How to post your papers to HUSCAP
	Theses publication info
	Helpline about theses publication

Open Archives Compliant

You can search our collection also at:
	Google
	Google Scholar
	CiNii
	IRDB
	OAIster
	NDLTD

Files in This Item:

RIW14_new.pdf

211.11 kB

PDF

Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/62767

Title:	Self-Assessed Social Position and Poverty
Authors:	Hasegawa, Hikaru Browse this author →KAKEN DB
Authors:	Ueda, Kazuhiro Browse this author →KAKEN DB
Keywords:	Markov chain Monte Carlo (MCMC)
	multivariate ordered probit model
	ordinal explanatory variables
Issue Date:	Sep-2014
Publisher:	Wiley
Journal Title:	Review of Income and Wealth
Volume:	60
Issue:	3
Start Page:	571
End Page:	595
Publisher DOI:	10.1111/roiw.12036
Abstract:	In this article, we use microlevel data extracted from the 2006 Japanese General Social Surveys to analyze the relationships between self-assessed social position and socioeconomic factors such as income and poverty. We provide the posterior results of the estimation of the Bayesian multivariate ordered probit model and propose an inequality measure for self-assessed social position on the basis of the posterior results. We call the inequality measure “regret” and show that the distributions of regret differ for people above and below the poverty line.
Type:	article (author version)
URI:	http://hdl.handle.net/2115/62767
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

OAI-PMH ( junii2 , jpcoar_1.0 )

- Hokkaido University