Tester la dualité du marché du travail : l'exemple de la Tunisie

Abdennadher, Chokri; Karaa, Adel; Plassard, Jean-Michel

doi:10.3406/recod.1994.900

Cited by 6 publications

(4 citation statements)

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“…This is in accordance with the usual wage differentials across individuals with identical productive characteristics in empirical studies 26 . Such wage differentials have been found in Tunisia in non-matched data (Abdennadher et al, 1994). The results show that workers with comparable measured characteristics earn different wages partly because they belong to different firms.…”

supporting

confidence: 63%

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

Müller

Nordman

2004

SSRN Journal

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We study the returns to human capital for workers observed in Tunisian matched worker-firm data in 1999. This tells us how these returns differ from those obtained in industrialised countries 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 fixed effects in wage equations for studying the effect of education. It also provides a human capital interpretation of these firm effects. Moreover, using three firm characteristics easily collectable yields results close to those obtained by using the matched structure of the data. Wage regressions including the computed factors confirm 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 poorest workers do not take advantage of human capital in the firm. Conversely, the poor benefit from working in the textile sector in terms of wages unlike the middle and high wage workers.Keywords: wage, returns to human capital, matched worker-firm data, quantile regressions, factor analysis, Tunisia RÉSUMÉNous analysons les rendements du capital humain à partir de données liées employeurs-employés collectées en Tunisie en 1999 et indiquons comment ces rendements diffèrent de ceux généralement obtenus dans les pays industrialisés avec ce type de données. Nous développons une nouvelle méthode fondée sur une analyse factorielle des caractéristiques d'entreprise qui rapproche nos résultats, en ce qui concerne le rendement de l'éducation, de ceux que l'on obtient en utilisant des équations de salaire à effets fixes d'entreprise. Notre technique d'estimation fournit une interprétation de ces effets en distinguant l'impact sur les salaires du capital humain propres aux établissements. En outre, l'inclusion dans l'analyse de trois caractéristiques d'entreprise facilement mobilisables procure des résultats très proches de ceux obtenus lorsque toute l'information disponible sur la structure d'appariement des données est utilisée. L'introduction de l'approche factorielle confirme l'idée selon laquelle le capital humain peut constituer une source positive d'externalité intra entreprise. Un travailleur d'une qualification donnée serait plus productif et donc mieux rémunéré dans un environnement fortement doté en capital humain. Toutefois, les travailleurs pauvres ne semblent pas pouvoir bénéficier des qualifications de leur entreprise. En revanche, les pauvres profitent d'un emploi dans le secteur des textiles en termes de rémunération, contrairement aux travailleurs à salaires médians et élevés.

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supporting

confidence: 63%

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

Müller

Nordman

2004

SSRN Journal

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“…This is in accordance with the usually found wage differentials across individuals with identical productive characteristics while working in different sectors. 23 Such wage differentials have been found in Tunisia in non-matched data (Abdennadher et al, 1994). Here, workers with comparable measured characteristics earn different wages partly because they belong to different firms.…”

Section: The Wage Equation Estimatesmentioning

confidence: 59%

Within-Firm Human Capital Externalities in Tunisia

Müller

Nordman²

2011

Journal of Development Studies

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This case study exploits matched firm-employee Tunisian data in order to underline the role played by within-firm human capital in worker remuneration. The estimated returns to human capital in wage equations remain unchanged when the dummies representing firm heterogeneity are replaced in the list of regressors with three firm variables: a textile industry dummy, within-firm mean education, and firm age. We find that part of what is usually considered as return to education may be due to within-firm externalities.

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“…For a selection of previous studies of the Tunisian manufacturing industry and its evolution over time seeNabli (1981),Morrison (1987),Abdennadher et al (1994),Sekkat (1996) andBoughzala (1997).2 The growth at industry levels were as follows; food (32 per cent), textiles, clothing and footwear (26 per cent), chemicals (28 per cent), construction material and ceramics (38 per cent), mechanical electric (51 per cent), and other manufacturing (45 per cent).…”

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confidence: 99%