Less Income Inequality and More Growth - Are they Compatible? Part 7. The Drivers of Labour Earnings Inequality - An Analysis Based on Conditional and Unconditional Quantile Regressions:
Unconditional and conditional quantile regressions are used to explore the determinants of labour earnings at different parts of the distribution and, hence, the determinants of overall labour earnings inequality. The analysis combines several household surveys to provide comparable estimates for 32...
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Format: | Elektronisch E-Book |
Sprache: | English |
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Paris
OECD Publishing
2012
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Schriftenreihe: | OECD Economics Department Working Papers
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Zusammenfassung: | Unconditional and conditional quantile regressions are used to explore the determinants of labour earnings at different parts of the distribution and, hence, the determinants of overall labour earnings inequality. The analysis combines several household surveys to provide comparable estimates for 32 countries. The empirical work suggests that, in general, a rise in the share of workers with an upper-secondary or post-secondary non-tertiary degree, a rise in trade union membership, a rise in the share of public employment and a rise in the share of workers on permanent contracts are associated with a narrowing of the earnings distribution. By contrast, a shift in the sector composition of the economy is not found to have a large impact on overall earnings inequality. As for tertiary education, the impact remains ambiguous as there are several offsetting forces |
Beschreibung: | 1 Online-Ressource (87 Seiten) 21 x 29.7cm |
DOI: | 10.1787/5k9h28s354hg-en |
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spelling | Fournier, Jean-Marc Verfasser aut Less Income Inequality and More Growth - Are they Compatible? Part 7. The Drivers of Labour Earnings Inequality - An Analysis Based on Conditional and Unconditional Quantile Regressions Jean-Marc Fournier and Isabell Koske = Moins d'inégalités de revenu et plus de croissance - Ces deux objectifs sont-ils compatibles?:Partie 7. Les facteurs des inégalités de revenu - analyse fondée sur des régressions quantiles conditionnelles et inconditionnelles / Jean-Marc Fournier et Isabell Koske Moins d'inégalités de revenu et plus de croissance - Ces deux objectifs sont-ils compatibles?:Partie 7. Les facteurs des inégalités de revenu - analyse fondée sur des régressions quantiles conditionnelles et inconditionnelles Paris OECD Publishing 2012 1 Online-Ressource (87 Seiten) 21 x 29.7cm txt rdacontent c rdamedia cr rdacarrier OECD Economics Department Working Papers Unconditional and conditional quantile regressions are used to explore the determinants of labour earnings at different parts of the distribution and, hence, the determinants of overall labour earnings inequality. The analysis combines several household surveys to provide comparable estimates for 32 countries. The empirical work suggests that, in general, a rise in the share of workers with an upper-secondary or post-secondary non-tertiary degree, a rise in trade union membership, a rise in the share of public employment and a rise in the share of workers on permanent contracts are associated with a narrowing of the earnings distribution. By contrast, a shift in the sector composition of the economy is not found to have a large impact on overall earnings inequality. As for tertiary education, the impact remains ambiguous as there are several offsetting forces Taxation Economics Koske, Isabell ctb https://doi.org/10.1787/5k9h28s354hg-en Verlag kostenfrei Volltext |
spellingShingle | Fournier, Jean-Marc Less Income Inequality and More Growth - Are they Compatible? Part 7. The Drivers of Labour Earnings Inequality - An Analysis Based on Conditional and Unconditional Quantile Regressions Taxation Economics |
title | Less Income Inequality and More Growth - Are they Compatible? Part 7. The Drivers of Labour Earnings Inequality - An Analysis Based on Conditional and Unconditional Quantile Regressions |
title_alt | Moins d'inégalités de revenu et plus de croissance - Ces deux objectifs sont-ils compatibles?:Partie 7. Les facteurs des inégalités de revenu - analyse fondée sur des régressions quantiles conditionnelles et inconditionnelles |
title_auth | Less Income Inequality and More Growth - Are they Compatible? Part 7. The Drivers of Labour Earnings Inequality - An Analysis Based on Conditional and Unconditional Quantile Regressions |
title_exact_search | Less Income Inequality and More Growth - Are they Compatible? Part 7. The Drivers of Labour Earnings Inequality - An Analysis Based on Conditional and Unconditional Quantile Regressions |
title_exact_search_txtP | Less Income Inequality and More Growth - Are they Compatible? Part 7. The Drivers of Labour Earnings Inequality - An Analysis Based on Conditional and Unconditional Quantile Regressions |
title_full | Less Income Inequality and More Growth - Are they Compatible? Part 7. The Drivers of Labour Earnings Inequality - An Analysis Based on Conditional and Unconditional Quantile Regressions Jean-Marc Fournier and Isabell Koske = Moins d'inégalités de revenu et plus de croissance - Ces deux objectifs sont-ils compatibles?:Partie 7. Les facteurs des inégalités de revenu - analyse fondée sur des régressions quantiles conditionnelles et inconditionnelles / Jean-Marc Fournier et Isabell Koske |
title_fullStr | Less Income Inequality and More Growth - Are they Compatible? Part 7. The Drivers of Labour Earnings Inequality - An Analysis Based on Conditional and Unconditional Quantile Regressions Jean-Marc Fournier and Isabell Koske = Moins d'inégalités de revenu et plus de croissance - Ces deux objectifs sont-ils compatibles?:Partie 7. Les facteurs des inégalités de revenu - analyse fondée sur des régressions quantiles conditionnelles et inconditionnelles / Jean-Marc Fournier et Isabell Koske |
title_full_unstemmed | Less Income Inequality and More Growth - Are they Compatible? Part 7. The Drivers of Labour Earnings Inequality - An Analysis Based on Conditional and Unconditional Quantile Regressions Jean-Marc Fournier and Isabell Koske = Moins d'inégalités de revenu et plus de croissance - Ces deux objectifs sont-ils compatibles?:Partie 7. Les facteurs des inégalités de revenu - analyse fondée sur des régressions quantiles conditionnelles et inconditionnelles / Jean-Marc Fournier et Isabell Koske |
title_short | Less Income Inequality and More Growth - Are they Compatible? Part 7. The Drivers of Labour Earnings Inequality - An Analysis Based on Conditional and Unconditional Quantile Regressions |
title_sort | less income inequality and more growth are they compatible part 7 the drivers of labour earnings inequality an analysis based on conditional and unconditional quantile regressions |
topic | Taxation Economics |
topic_facet | Taxation Economics |
url | https://doi.org/10.1787/5k9h28s354hg-en |
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