IDEAS home Printed from https://ideas.repec.org/a/taf/edecon/v16y2008i4p391-410.html
   My bibliography  Save this article

What a quantile approach can tell us about returns to education in Europe

Author

Listed:
  • Juan Prieto-Rodriguez
  • Carlos Pestana Barros
  • Jose Vieira

Abstract

This paper seeks to analyse the relationship between wages and education at a European level, using a quantile regression in order to be able to extend the study along the whole wage distribution. This analysis is carried out for a sample of 14 European countries (Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, the Netherlands, Portugal, Spain and the United Kingdom), using the European Community Household Panel data-set. The paper aims to investigate whether the relationship between wages and education at European level is homogeneous and stable through time by running regressions for average and current (log)wages. Policy implications are derived.

Suggested Citation

  • Juan Prieto-Rodriguez & Carlos Pestana Barros & Jose Vieira, 2008. "What a quantile approach can tell us about returns to education in Europe," Education Economics, Taylor & Francis Journals, vol. 16(4), pages 391-410.
    • Handle: RePEc:taf:edecon:v:16:y:2008:i:4:p:391-410
    DOI: 10.1080/09645290801977033
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/10.1080/09645290801977033
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09645290801977033?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. David Card, 1994. "Earnings, Schooling, and Ability Revisited," Working Papers 710, Princeton University, Department of Economics, Industrial Relations Section..
    2. David Card, 1994. "Earnings, Schooling, and Ability Revisited," Working Papers 710, Princeton University, Department of Economics, Industrial Relations Section..
    3. repec:fth:prinin:331 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aysit Tansel & Fatma Bircan Bodur, 2012. "Wage Inequality and Returns to Education in Turkey: A Quantile Regression Analysis," Review of Development Economics, Wiley Blackwell, vol. 16(1), pages 107-121, February.
    2. Corrado Andini, 2022. "Tertiary education for all and wage inequality: policy insights from quantile regression," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(6), pages 1281-1296, November.
    3. Rafal Kierzenkowski & Isabell Koske, 2012. "Less Income Inequality and More Growth – Are they Compatible? Part 8. The Drivers of Labour Income Inequality – A Literature Review," OECD Economics Department Working Papers 931, OECD Publishing.
    4. Jean-Marc Fournier & Isabell Koske, 2012. "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," OECD Economics Department Working Papers 930, OECD Publishing.
    5. 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.
    6. José Vieira & Carolina Constância & João Teixeira, 2020. "Education and risk compensation in wages: a quantile regression approach," Applied Economics Letters, Taylor & Francis Journals, vol. 27(3), pages 194-198, February.
    7. Jabłoński Łukasz, 2019. "Inequality in Economics: The Concept, Perception, Types, and Driving Forces," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 27(1), pages 17-43, March.
    8. Marco Biagetti & Sergio Scicchitano, 2012. "Returns to Schooling in Europe: Evidence From Quantile Regression on EU-SILC Data," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 2(5), pages 1-9, October.
    9. Aysit Tansel & Fatma Bircan Bodur, 2012. "Wage Inequality and Returns to Education in Turkey: A Quantile Regression Analysis," Review of Development Economics, Wiley Blackwell, vol. 16(1), pages 107-121, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pedro Telhado Pereira & Pedro Silva Martins, 2000. "Does education reduce wage inequality? Quantile regressions evidence from fifteen European countries," Nova SBE Working Paper Series wp379, Universidade Nova de Lisboa, Nova School of Business and Economics.
    2. Koeniger, Winfried, 2001. "Labor and Financial Market Interactions: The Case of Labor Income Risk and Car Insurance in the UK 1969-95," IZA Discussion Papers 240, Institute of Labor Economics (IZA).
    3. Gruetter, Max, 2005. "Returns to Foreign Education: Yet Another But Different Cross Country Analysis," IZA Discussion Papers 1615, Institute of Labor Economics (IZA).
    4. Angel López-Nicolás & Jaume García & Pedro J. Hernández, 2001. "How wide is the gap? An investigation of gender wage differences using quantile regression," Empirical Economics, Springer, vol. 26(1), pages 149-167.
    5. Hartog, Joop & Oosterbeek, Hessel, 1998. "Health, wealth and happiness: why pursue a higher education?," Economics of Education Review, Elsevier, vol. 17(3), pages 245-256, June.
    6. Andy Dickerson & Steven McIntosh, 2013. "The Impact of Distance to Nearest Education Institution on the Post-compulsory Education Participation Decision," Urban Studies, Urban Studies Journal Limited, vol. 50(4), pages 742-758, March.
    7. Meghir, Costas & Palme, Marten, 2001. "The Effect of a Social Experiment in Education," SSE/EFI Working Paper Series in Economics and Finance 0451, Stockholm School of Economics.
    8. Balestra, Simone & Backes-Gellner, Uschi, 2017. "Heterogeneous returns to education over the wage distribution: Who profits the most?," Labour Economics, Elsevier, vol. 44(C), pages 89-105.
    9. Hazan, Moshe, 2006. "Longevity and Lifetime Labour Input: Data and Implications," CEPR Discussion Papers 5963, C.E.P.R. Discussion Papers.
    10. Behrman, Jere R., 1996. "Measuring the effectiveness of schooling policies in developing countries: Revisiting issues of methodology," Economics of Education Review, Elsevier, vol. 15(4), pages 345-364, October.
    11. Isabel V. Sawhill, 1995. "Distinguished Lecture on Economics in Government: The Economist vs. Madmen in Authority," Journal of Economic Perspectives, American Economic Association, vol. 9(3), pages 3-13, Summer.
    12. Mora Rodríguez, Jhon James & Muro, Juan, 2015. "On the size of sheepskin effects: A meta-analysis," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-18.
    13. Rivera, Luis & Rojas-Romagosa, Hugo, 2009. "Human Capital Formation and the Linkage between Trade and Poverty: The Cases of Costa Rica and Nicaragua," Conference papers 331887, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    14. Yang, Guanyi, 2018. "Endogenous Skills and Labor Income Inequality," MPRA Paper 89638, University Library of Munich, Germany.
    15. David Card & Alan B. Krueger, 1996. "Labor Market Effects of School Quality: Theory and Evidence," NBER Working Papers 5450, National Bureau of Economic Research, Inc.
    16. Garcia-Mainar, Inmaculada & Montuenga-Gomez, Victor M., 2005. "Education returns of wage earners and self-employed workers: Portugal vs. Spain," Economics of Education Review, Elsevier, vol. 24(2), pages 161-170, April.
    17. Adriaan Kalwij, 2000. "Estimating the economic return to schooling on the basis of panel data," Applied Economics, Taylor & Francis Journals, vol. 32(1), pages 61-71.
    18. Adelaide AGYEMAN & Nicholas Nicodamus Nana NSOWAH-NUAMAH, 2015. "Demographic And Socio-Economic Characteristics Of Monozygotic And Dizygotic Twins In The Labour Market," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 4(2), pages 19-41, DECEMBER.
    19. Zhu, Jessica, 2018. "Understanding the Rationale of Heterogeneous Farmers' Agricultural Technology Adoption Decisions," 2018 Annual Meeting, August 5-7, Washington, D.C. 274233, Agricultural and Applied Economics Association.
    20. Daniele Checchi, 1999. "Inequality in Incomes and Access to Education. A Cross-Country Analysis (1960-90)," Working Papers 21, University of Milano-Bicocca, Department of Economics, revised May 1999.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:edecon:v:16:y:2008:i:4:p:391-410. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CEDE20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.