Multidimensional inequality for current status of Japanese private companies’ employees

Hikaru Hasegawa () and Kazuhiro Ueda ()
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Hikaru Hasegawa: Hokkaido University
Kazuhiro Ueda: Nihon Fukushi University

METRON, 2016, vol. 74, issue 3, No 5, 357-373

Abstract: Abstract 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.

Keywords: Generalized entropy measure; Gini coefficient; Markov chain Monte Carlo (MCMC); Multivariate ordered probit model; Polychoric and polyserial correlation coefficients (search for similar items in EconPapers)
JEL-codes: C35 D63 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s40300-016-0094-7

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