IDEAS home Printed from https://ideas.repec.org/p/rif/dpaper/709.html
   My bibliography  Save this paper

Does Education Reduce Wage Inequality? Quantile Regressions Evidence from Fifteen European Countries

Author

Listed:
  • Pereira, Pedro Telhado
  • Martins, Pedro Silva

Abstract

We address the impact of education upon wage inequality by drawing on evidence from fifteen European countries, during a period ranging between 1980 and 1995. We focus on within-educational-levels wage inequality by estimating quantile regressions of Mincer equations and analysing the differences in returns to education across the wage distribution and across time. Four different patterns emerge: 1) a positive and increasing contribution of education upon within-levels wage inequality -the case of Portugal; 2) a positive but stable role of education in terms of inequality - Austria, Finland, France, Ireland, Netherlands, Norway, Spain, Sweden, Switzerland, UK; 3) a neutral role - Denmark and Italy; and 4) a negative impact - Germany and Greece. We thus find that in most countries dispersion in earnings increases with educational levels and that education is a risky investment. These results suggest a positive interaction between schooling and ability with respect to earnings.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Pereira, Pedro Telhado & Martins, Pedro Silva, 2002. "Does Education Reduce Wage Inequality? Quantile Regressions Evidence from Fifteen European Countries," Discussion Papers 709, The Research Institute of the Finnish Economy.
  • Handle: RePEc:rif:dpaper:709
    as

    Download full text from publisher

    File URL: http://www.etla.fi/wp-content/uploads/2012/09/dp709.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lawrence F. Katz & Kevin M. Murphy, 1992. "Changes in Relative Wages, 1963–1987: Supply and Demand Factors," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(1), pages 35-78.
    2. José A. F. Machado & José Mata, 2001. "Earning functions in Portugal 1982-1994: Evidence from quantile regressions," Empirical Economics, Springer, vol. 26(1), pages 115-134.
    3. Alberto Abadie & Joshua Angrist & Guido Imbens, 2002. "Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings," Econometrica, Econometric Society, vol. 70(1), pages 91-117, January.
    4. Eric A. Hanushek & Julie A. Somers, 1999. "Schooling, Inequality, and the Impact of Government," NBER Working Papers 7450, National Bureau of Economic Research, Inc.
    5. Orley Ashenfelter & Cecilia E. Rouse, 1998. "Schooling, Intelligence, and Income in America: Cracks in the Bell Curve," Working Papers 786, Princeton University, Department of Economics, Industrial Relations Section..
    6. David Card, 1994. "Earnings, Schooling, and Ability Revisited," Working Papers 710, Princeton University, Department of Economics, Industrial Relations Section..
    7. Peter Gottschalk, 1997. "Inequality, Income Growth, and Mobility: The Basic Facts," Journal of Economic Perspectives, American Economic Association, vol. 11(2), pages 21-40, Spring.
    8. James Heckman, 2011. "Policies to foster human capital," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 73-137.
    9. Tsakloglou, Panos & Antoninis, Manos, 1999. "On the distributional impact of public education: evidence from Greece," Economics of Education Review, Elsevier, vol. 18(4), pages 439-452, October.
    10. David Card, 1994. "Earnings, Schooling, and Ability Revisited," Working Papers 710, Princeton University, Department of Economics, Industrial Relations Section..
    11. Andrea Ichino & Rudolf Winter-Ebmer, 2004. "The Long-Run Educational Cost of World War II," Journal of Labor Economics, University of Chicago Press, vol. 22(1), pages 57-86, January.
    12. Vieira, Jose A. C., 1999. "Returns to education in Portugal," Labour Economics, Elsevier, vol. 6(4), pages 535-541, November.
    13. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    14. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    15. Peter Gottschalk & Timothy M. Smeeding, 1997. "Cross-National Comparisons of Earnings and Income Inequality," Journal of Economic Literature, American Economic Association, vol. 35(2), pages 633-687, June.
    16. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
    17. Fersterer, Josef & Winter-Ebmer, Rudolf, 2003. "Are Austrian returns to education falling over time?," Labour Economics, Elsevier, vol. 10(1), pages 73-89, February.
    18. Mata, Jose & Machado, Jose A. F., 1996. "Firm start-up size: A conditional quantile approach," European Economic Review, Elsevier, vol. 40(6), pages 1305-1323, June.
    19. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    20. Orley Ashenfelter & Cecilia Rouse, 1998. "Schooling, Intelligence, and Income in America: Cracks in the Bell Curve," Working Papers 786, Princeton University, Department of Economics, Industrial Relations Section..
    21. Edwin Leuven & Hessel Oosterbeek & Hans van Ophem, 2004. "Explaining international differences in male skill wage differentials by differences in demand and supply of skill," Economic Journal, Royal Economic Society, vol. 114(495), pages 466-486, April.
    22. Ichino, Andrea & Winter-Ebmer, Rudolf, 1998. "The Long-Run Educational Cost of World War II: An Example of Local Average Treatment Effect Estimation," CEPR Discussion Papers 1895, C.E.P.R. Discussion Papers.
    23. Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-458, March.
    24. Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Robust Tests for Heteroscedasticity Based on Regression Quantiles," Econometrica, Econometric Society, vol. 50(1), pages 43-61, January.
    25. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
    26. Blau, Francine D & Kahn, Lawrence M, 1996. "International Differences in Male Wage Inequality: Institutions versus Market Forces," Journal of Political Economy, University of Chicago Press, vol. 104(4), pages 791-836, August.
    27. Koenker, Roger, 2000. "Galton, Edgeworth, Frisch, and prospects for quantile regression in econometrics," Journal of Econometrics, Elsevier, vol. 95(2), pages 347-374, April.
    28. Buchinsky, Moshe, 1995. "Quantile regression, Box-Cox transformation model, and the U.S. wage structure, 1963-1987," Journal of Econometrics, Elsevier, vol. 65(1), pages 109-154, January.
    29. 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.
    30. Asplund, Rita & Pereira, Pedro Telhado (ed.), . "Returns to Human Capital in Europe. A Literature Review," ETLA B, The Research Institute of the Finnish Economy, number 156, June.
    31. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    32. repec:bla:revinw:v:44:y:1998:i:3:p:325-43 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    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. Martins, Pedro S. & Pereira, Pedro T., 2004. "Does education reduce wage inequality? Quantile regression evidence from 16 countries," Labour Economics, Elsevier, vol. 11(3), pages 355-371, June.
    2. 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.
    3. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    4. Joop Hartog & Pedro Pereira & Jose Vieira, 2001. "Changing returns to education in Portugal during the 1980s and early 1990s: OLS and quantile regression estimators," Applied Economics, Taylor & Francis Journals, vol. 33(8), pages 1021-1037.
    5. Maria Manuel Campos & Hugo Reis, 2018. "Returns to schooling in the Portuguese economy: a reassessment," Public Sector Economics, Institute of Public Finance, vol. 42(2), pages 215-242.
    6. Angel de la Fuente & Antonio Ciccone, 2003. "Human capital in a global and knowledge-based economy," UFAE and IAE Working Papers 562.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    7. 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.
    8. Michael Chletsos & Stelios Roupakias, 2020. "Education and wage inequality before and during the fiscal crisis: A quantile regression analysis for Greece 2006–2016," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1333-1364, November.
    9. Jose Antonio Cabral Vieira & Joao Pedro Couto & Maria Teresa Tiago, 2006. "Regional Differences in Returns to Education in Portugal," ERSA conference papers ersa06p44, European Regional Science Association.
    10. Azam, Mehtabul, 2012. "Changes in Wage Structure in Urban India, 1983–2004: A Quantile Regression Decomposition," World Development, Elsevier, vol. 40(6), pages 1135-1150.
    11. 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.
    12. Arrazola, María & de Hevia, José, 2008. "Three measures of returns to education: An illustration for the case of Spain," Economics of Education Review, Elsevier, vol. 27(3), pages 266-275, June.
    13. S Madheswaran, 2016. "The Changing Rates of Return to Education in India: Evidence from NSS Data," Working Papers id:11324, eSocialSciences.
    14. Santiago Budría & Pedro Telhado-Pereira, 2011. "Educational Qualifications And Wage Inequality: Evidence For Europe," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 19(2), pages 5-34, Autumn.
    15. Xing, Chunbing & Li, Shi, 2012. "Residual wage inequality in urban China, 1995–2007," China Economic Review, Elsevier, vol. 23(2), pages 205-222.
    16. Melly, Blaise, 2005. "Decomposition of differences in distribution using quantile regression," Labour Economics, Elsevier, vol. 12(4), pages 577-590, August.
    17. Buchinsky, Moshe, 1995. "Quantile regression, Box-Cox transformation model, and the U.S. wage structure, 1963-1987," Journal of Econometrics, Elsevier, vol. 65(1), pages 109-154, January.
    18. Sonja Jovicic, 2016. "Wage inequality, skill inequality, and employment: evidence and policy lessons from PIAAC," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-26, December.
    19. Theodore Koutmeridis, 2013. "The Market for "Rough Diamonds": Information, Finance and Wage Inequality," CDMA Working Paper Series 201307, Centre for Dynamic Macroeconomic Analysis, revised 14 Oct 2013.
    20. Michel Lubrano & Abdoul Aziz Junior Ndoye, 2014. "Bayesian Unconditional Quantile Regression: An Analysis of Recent Expansions in Wage Structure and Earnings Inequality in the US 1992–2009," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(2), pages 129-153, May.

    More about this item

    JEL classification:

    • C29 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Other
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    Statistics

    Access and download statistics

    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:rif:dpaper:709. 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: Kaija Hyvönen-Rajecki (email available below). General contact details of provider: https://edirc.repec.org/data/etlaafi.html .

    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.