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Self-selection models for public and private sector job satisfaction


Luechinger, Simon; Stutzer, Alois; Winkelmann, Rainer (2010). Self-selection models for public and private sector job satisfaction. Research in Labor Economics, 30:233-251.

Abstract

We discuss a class of copula-based ordered probit models with endogenous switching. Such models can be useful for the analysis of self-selection in subjective well-being equations in general, and job satisfaction in particular, where assignment of regressors may be endogenous rather than random, resulting from individual maximization of well-being. In an application to public and private sector job satisfaction, and using data on male workers from the German Socio-Economic Panel for 2004, and using two alternative copula functions for dependence, we find consistent evidence for endogenous sector selection.

Abstract

We discuss a class of copula-based ordered probit models with endogenous switching. Such models can be useful for the analysis of self-selection in subjective well-being equations in general, and job satisfaction in particular, where assignment of regressors may be endogenous rather than random, resulting from individual maximization of well-being. In an application to public and private sector job satisfaction, and using data on male workers from the German Socio-Economic Panel for 2004, and using two alternative copula functions for dependence, we find consistent evidence for endogenous sector selection.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Economics
Dewey Decimal Classification:330 Economics
Scopus Subject Areas:Social Sciences & Humanities > Industrial Relations
Social Sciences & Humanities > Economics and Econometrics
Social Sciences & Humanities > Political Science and International Relations
Language:English
Date:2010
Deposited On:01 Oct 2010 11:09
Last Modified:29 Jul 2020 22:47
Publisher:Emerald
Series Name:Research in Labor Economics
ISSN:0147-9121
ISBN:978-1-84950-766-0
OA Status:Green
Publisher DOI:https://doi.org/10.1108/S0147-9121(2010)0000030010

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