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Wage Differentials in Brazilian Manufacturing

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Author Info
Jorge Saba Arbache ()

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Abstract

This paper empirically investigates wage differentials for Brazilian manufacturing sector using micro-data analysis. We estimate cross-sectional wage equations including human capital variables, occupation, region, work-card possession, personal characteristics, among others, and using a more accurate estimation procedure proposed by Haisken-DeNew and Schmidt (1997). Compared to previous studies for Brazil, our results show a substantial drop in the non-explained wage dispersion. Our major finding is that wage determination seems to be a result of a mix of factors such as human capital, unmeasured abilities, efficiency wages, rent-sharing, and discrimination. However, contrasting with previous results which strongly support the importance of segmentation in wage determination, our results indicate that competitive explanations seem to play the most relevant role for understanding wage differentials.

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Publisher Info
Paper provided by Department of Economics, University of Kent in its series Studies in Economics with number 9705.

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Date of creation: Jun 1997
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Handle: RePEc:ukc:ukcedp:9705

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Postal: Department of Economics, University of Kent at Canterbury, Canterbury, Kent, CT2 7NP
Phone: +44 (0)1227 764000
Fax: +44 (0)1227 827850
Web page: http://www.ukc.ac.uk/economics/

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Related research
Keywords: Wage differentials; wage determination; manufacturing; Brazil;

Find related papers by JEL classification:
J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
J32 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Nonwage Labor Costs and Benefits; Private Pensions
J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

Cited by:
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  1. Jorge Saba Arbache, 1998. "The Impact of Unions on Wages in Brazilian Manufacturing," Studies in Economics 9805, Department of Economics, University of Kent. [Downloadable!]
Statistics
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This page was last updated on 2009-12-7.


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