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論文情報

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アクセス権	open access
URI	https://hdl.handle.net/2115/67785
タイトル	Multidimensional inequality for current status of Japanese private companies' employees
著者	e-Rad_Researcher 30189534 著者名 Hasegawa, Hikaru
	e-Rad_Researcher 50203435 著者名 Ueda, Kazuhiro
言語	英語
キーワード	generalized entropy measure
	Gini coefficient
	Markov chain Monte Carlo (MCMC)
	multivariate ordered probit model
	polychoric and polyserial correlation coefficients
発行日	2016-12
出版者	Springer Milan
収録物名	METRON
巻(号)	74(3)
ページ	357-373
抄録	In this paper, we show a method for measuring multidimensional inequality. We use a Bayesian method for a multivariate ordered probit model to obtain a single index, which we refer to as a probability associated with an individual's overall status, from a multivariate distribution representing a number of attributes. We evaluate multidimensional inequality by the Gini coefficient and the generalized entropy measure of inequality using this index. This method is used for the employee data of Japanese private companies, which include income and attributes related to subjective perception such as job satisfaction.
資源タイプ	学術雑誌論文
出版タイプ	Accepted Manuscript
権利情報	This is a post-peer-review, pre-copyedit version of an article published in METRON. The final authenticated version is available online at: http://dx.doi.org/10.1007/s40300-016-0094-7.
PISSN	0026-1424
EISSN	2281-695X
NCID	AA00284752
関連情報 (isVersionOf)	出版社版DOI https://doi.org/10.1007/s40300-016-0094-7

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