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  5. The informal sector wage gap : new evidence using quantile estimations on panel data
 
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The informal sector wage gap : new evidence using quantile estimations on panel data

Author(s)
Bargain, Olivier  
Kwenda, Prudence  
Uri
http://hdl.handle.net/10197/2601
Date Issued
2009-05
Date Available
2010-11-25T16:59:24Z
Abstract
This paper provides new evidence on the wage gap between informal and formal salary workers
in South Africa, Brazil and Mexico. We use rich datasets that allow us to de…fine informality in a
relatively comparable fashion across countries. We compute precise wage differentials by accounting
for taxes paid in the formal sector. For each country, we analyze how the sectoral wage gap varies
within groups, between groups and over time. To account for unobserved heterogeneity, we use
large (unbalanced) panels to estimate …fixed effects models at the mean and at different points of the
wage distribution. We fi…nd that unobserved heterogeneity explains a large part of the (conditional)
wage gap. The remaining informal sector wage penalty is large in the lower part of the distribution
but almost disappears at the top. The penalty primarily concerns young workers and is found
to be procyclical. We carefully investigate the robustness of these results and discuss their policy
implications as well as regularities across countries.
Sponsorship
Not applicable
Type of Material
Working Paper
Publisher
University College Dublin. School of Economics
Series
UCD Centre for Economic Research Working Paper Series
WP 09 05
Subjects

Wage gap

Informal sector

Quantile regression,

Fi…xed effects model

Selection

Classification
J21
J23
J24
J31
C14
O17
Subject – LCSH
Wage differentials
Informal sector (Economics)
Regression analysis
Web versions
http://www.ucd.ie/t4cms/wp09.05.pdf
Language
English
Status of Item
Not peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
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Owning collection
Economics Working Papers & Policy Papers

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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