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Horizon / Pleins textes
Other literature type . 2004
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Horizon / Pleins textes
Other literature type . 2004
SSRN Electronic Journal
Article . 2004 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2004
Data sources: EconStor
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Which Human Capital Matters for Rich and Poor's Wages? Evidence from Matched Worker-Firm Data from Tunisia

Authors: Muller, C.; /Nordman, Christophe;

Which Human Capital Matters for Rich and Poor's Wages? Evidence from Matched Worker-Firm Data from Tunisia

Abstract

In this paper, we study the return to human capital variables for wages of workers observed in Tunisian matched worker-firm data in 1999. This reveals us how returns to human capital in a Less Developed Country like Tunisia may differ from the industrial countries usually studied with matched data. We develop a new method based on multivariate analysis of firm characteristics, which allows us most of the benefits obtained by introducing firm dummies in wage equations for studying the effect of education. It also provides a human capital interpretation of the effect of these dummy variables. Moreover, in the studied data, using three firm characteristics easily collectable yields results close to those obtained by using the matched structure of the data. The workers with low wages or low conditional wages experience greater returns to human capital than workers belonging to the middle of the wage distribution, while their return to schooling is significantly lower than that of high wage workers. The estimates support the hypothesis that human capital is associated with positive intra-firm externality on wages. Therefore, a given worker would be more productive and better paid in an environment strongly endowed in human capital. However, the low wage workers do not take advantage of the human capital in the firm. Conversely, the low wage workers benefit from working in the textile sector in terms of wages unlike the middle and high wage workers. Finally, the low wage workers and high wage workers benefit from an innovative environment, while the middle wage workers do not.

Country
France
Keywords

Lohnstruktur, Tunisia, CAPITAL HUMAIN, 330, J24, factor analysis, returns to human capital, ECONOMETRIE, 331, INEGALITE SALARIALE, matched worker-firm data, PAUVRETE, quantile regressions, Humankapital, Wage, returns to human capital, matched worker-firm data, quantile regressions, factor analysis, Tunisia, SALAIRE, NIVEAU D'INSTRUCTION, O12, ddc:330, MAIN D'OEUVRE, wage, returns to human capital, matched worker-firm data, quantile regressions, factor analysis, Tunisia, Bildungsertrag, Tunesien, ENTREPRISE, MARCHE DE L'EMPLOI, TRAVAIL, Economie du travail, NIVEAU DE VIE, SEXE, INDUSTRIE, INDUSTRIE TEXTILE, wage, CLASSE SOCIALE, jel: jel:J24, jel: jel:J31, jel: jel:O12

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
Green
bronze