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The determinants of earnings inequality: evidence from quantile regressions

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  • Jean-Marc Fournier
  • Isabell Koske

Abstract

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 uppersecondary or post-secondary non-tertiary degree 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.

Suggested Citation

  • Jean-Marc Fournier & Isabell Koske, 2012. "The determinants of earnings inequality: evidence from quantile regressions," OECD Journal: Economic Studies, OECD Publishing, vol. 2012(1), pages 7-36.
  • Handle: RePEc:oec:ecokac:5k8zs3twbrd8
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    File URL: http://dx.doi.org/10.1787/eco_studies-2012-5k8zs3twbrd8
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    References listed on IDEAS

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    Cited by:

    1. Paul Gregg & Lindsey Macmillan & Claudia Vittori, 2015. "Nonlinear Estimation of Lifetime Intergenerational Economic Mobility and the Role of Education," DoQSS Working Papers 15-03, Department of Quantitative Social Science - UCL Institute of Education, University College London.
    2. Nguyen, Thi Minh Hieu & Nguyen, Thi Huong Giang & Vu, Thi Minh Ngoc & Nguyen, Viet Duc, 2013. "Whether or not the informal economy as an engine for poverty alleviation in Vietnam," MPRA Paper 48378, University Library of Munich, Germany.
    3. Valeria Cirillo & Matteo Sostero & Federico Tamagni, 2017. "Innovation and within-firm wage inequalities: empirical evidence from major European countries," Industry and Innovation, Taylor & Francis Journals, vol. 24(5), pages 468-491, July.
    4. Piotr Arak & Piotr Lewandowski & Piotr Zakowiecki, 2014. "Dual labour market in Poland – proposals for overcoming the deadlock," IBS Policy Papers 1/2014, Instytut Badan Strukturalnych.
    5. Vladimir Hlasny, 2017. "Different Faces of Inequality across Asia: Decomposition of Income Gaps across Demographic Groups," LIS Working papers 691, LIS Cross-National Data Center in Luxembourg.
    6. repec:dug:actaec:y:2017:i:6:p:267-277 is not listed on IDEAS
    7. Andini, Corrado, 2017. "Tertiary Education for All and Wage Inequality: Policy Insights from Quantile Regression," IZA Policy Papers 132, Institute for the Study of Labor (IZA).
    8. Eichhorst, Werner & Wozny, Florian & Mähönen, Erno, 2015. "What Is a Good Job?," IZA Discussion Papers 9461, Institute for the Study of Labor (IZA).
    9. Racha Ramadan & Vladimir Hlasny & Vito Intini, 2016. "Inequality Decomposition in the Arab Region: Application to Jordan, Egypt, Palestine and Tunisia," Working Papers 1016, Economic Research Forum, revised Jun 2016.
    10. Antonelli, Cristiano & Gehringer, Agnieszka, 2017. "Technological change, rent and income inequalities: A Schumpeterian approach," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 85-98.
    11. Oliver Denk & Boris Cournède, 2015. "Finance and income inequality in OECD countries," OECD Economics Department Working Papers 1224, OECD Publishing.
    12. Boris Cournède & Oliver Denk & Peter Hoeller, 2015. "Finance and Inclusive Growth," OECD Economic Policy Papers 14, OECD Publishing.
    13. Mlacha, Cornel J. & Ndanshau, Michael O.A, 2018. "Education and Labour Earnings Inequality in Tanzania: Evidence from Quantile Regression Analysis," MPRA Paper 89173, University Library of Munich, Germany.
    14. Fournier, Jean-Marc & Koske, Isabell, 2013. "Public employment and earnings inequality: An analysis based on conditional and unconditional quantile regressions," Economics Letters, Elsevier, vol. 121(2), pages 263-266.
    15. repec:hyp:journl:v:5:y:2017:i:4:p:63-71 is not listed on IDEAS
    16. Boris Cournède & Jean-Marc Fournier & Peter Hoeller, 2018. "Public finance structure and inclusive growth," OECD Economic Policy Papers 25, OECD Publishing.
    17. Matt L. Huffman & Joe King & Malte Reichelt, 2017. "Equality for Whom? Organizational Policies and the Gender Gap across the German Earnings Distribution," ILR Review, Cornell University, ILR School, vol. 70(1), pages 16-41, January.
    18. repec:spr:jopoec:v:32:y:2019:i:2:d:10.1007_s00148-018-0722-z is not listed on IDEAS

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