Applying the decomposition of the foster and wolfson bipolarization index to earnings functions

Elena Bárcena-Martin; Jacques Silber

doi:10.1108/S1049-258520180000026005

Applying the decomposition of the foster and wolfson bipolarization index to earnings functions

Elena Bárcena-Martin, Jacques Silber

Department of Economics

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This chapter shows that the algorithm recently proposed to decompose the Foster and Wolfson bipolarization index by income sources (see Bárcena-Martin, Deutsch, & Silber, forthcoming) may be extended to break down wage bipolarization by its determinants. The chapter gives an empirical illustration comparing the determinants of wage bipolarization and inequality in various European countries in 2011, with a special focus on Portugal. In Portugal higher levels of education are the main source of bipolarization and inequality. Gender and working in the public sector are important determinants of bipolarization while age and having a temporary job are important determinants of inequality.

Original language	English
Title of host publication	Research on Economic Inequality
Publisher	Emerald Group Publishing Ltd.
Pages	63-88
Number of pages	26
DOIs	https://doi.org/10.1108/S1049-258520180000026005
State	Published - 2018

Publication series

Name	Research on Economic Inequality
Volume	26
ISSN (Print)	1049-2585

Bibliographical note

Funding Information:
Elena Bárcena-Martín gratefully acknowledges the financial support provided by the Spanish Ministry of Education through Grant ECO2015-63734-P (MINECO/FEDER). She also thanks the University of Málaga for its financial support. Both authors thank the referee and the editors of this volume for their helpful remarks.

Publisher Copyright:
© 2019 by Emerald Publishing Limited All rights of reproduction in any form reserved.

Keywords

Bipolarization
Earnings function
Foster and Wolfson polarization index
Income sources
Inequality
SILC data

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10.1108/S1049-258520180000026005

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Applying the decomposition of the foster and wolfson bipolarization index to earnings functions

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Keywords

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