IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa06p44.html
   My bibliography  Save this paper

Regional Differences in Returns to Education in Portugal

Author

Listed:
  • Jose Antonio Cabral Vieira
  • Joao Pedro Couto
  • Maria Teresa Tiago

Abstract

This paper analyses differences in the return to education in Portugal across regions. For this purpose, we use an extended Mincer-type wage equation. OLS regression results indicate that differences in the rewards to education are substantially different across regions. In particular, they are much higher in Lisbon than in other regions. Since the average level of education in Lisbon is much higher in Lisbon than elsewhere such a differential is attributed to the fact that the demand for educated labour is much higher in Lisbon, likely due to differences in technology. A quantile regression analysis reveals that the return to education is not constant across the whole conditional wage distribution. This is valid for the 18 regions examined, although once again the impact of education on wages is higher in Lisbon regardless the quantile we examine.

Suggested Citation

  • 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.
  • Handle: RePEc:wiw:wiwrsa:ersa06p44
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa06/papers/44.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paulo Madruga & José Vieira, 2004. "Regions and Low-Wage Mobility in Portugal," ERSA conference papers ersa04p55, European Regional Science Association.
    2. David Card, 1994. "Earnings, Schooling, and Ability Revisited," Working Papers 710, Princeton University, Department of Economics, Industrial Relations Section..
    3. George Psacharopoulos & Harry Anthony Patrinos, 2004. "Returns to investment in education: a further update," Education Economics, Taylor & Francis Journals, vol. 12(2), pages 111-134.
    4. David Card, 1994. "Earnings, Schooling, and Ability Revisited," Working Papers 710, Princeton University, Department of Economics, Industrial Relations Section..
    5. C. N. Teulings & J. A. C. Vieira, 2004. "Urban Versus Rural Return to Human Capital in Portugal: A Cookbook Recipe for Applying Assignment Models," LABOUR, CEIS, vol. 18(2), pages 265-291, June.
    6. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    7. Dumond, J Michael & Hirsch, Barry T & Macpherson, David A, 1999. "Wage Differentials across Labor Markets and Workers: Does Cost of Living Matter?," Economic Inquiry, Western Economic Association International, vol. 37(4), pages 577-598, October.
    8. 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.
    9. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    10. Bernd Fitzenberger & Claudia Kurz, 2003. "New insights on earnings trends across skill groups and industries in West Germany," Empirical Economics, Springer, vol. 28(3), pages 479-514, July.
    11. Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Robust Tests for Heteroscedasticity Based on Regression Quantiles," Econometrica, Econometric Society, vol. 50(1), pages 43-61, January.
    12. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    13. Gilles Duranton & Vassilis Monastiriotis, 2002. "Mind the Gaps: The Evolution of Regional Earnings Inequalities in the U.K., 1982–1997," Journal of Regional Science, Wiley Blackwell, vol. 42(2), pages 219-256, May.
    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. Peter Huber, 2014. "Are Commuters in the EU Better Educated than Non-commuters but Worse than Migrants?," Urban Studies, Urban Studies Journal Limited, vol. 51(3), pages 509-525, 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. S Madheswaran, 2016. "The Changing Rates of Return to Education in India: Evidence from NSS Data," Working Papers id:11324, eSocialSciences.
    3. 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.
    4. 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.
    5. de Baldini Rocha, Maúna Soares & Ponczek, Vladimir, 2011. "The effects of adult literacy on earnings and employment," Economics of Education Review, Elsevier, vol. 30(4), pages 755-764, August.
    6. Vieira, J.A.C. & Couto, J.P.A. & Tiago, M.T.B., 2006. "Inter-regional Wage Dispersion in Portugal," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 6(1).
    7. Pamela Giustinelli, 2004. "Quantile Regression Evidence on Italian Education Returns," Rivista di Politica Economica, SIPI Spa, vol. 94(6), pages 49-100, November-.
    8. Singhari, Smrutirekha & Madheswaran, S., 2016. "Changing rates of return to education in India: Evidence from NSS data," Working Papers 358, Institute for Social and Economic Change, Bangalore.
    9. 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.
    10. João Pedro W. de Azevedo, 2004. "Entrepreneurship And Liquidity Constraints In Deprived Areas: Evidence From The Slums Of Rio De Janeiro," Anais do XXXII Encontro Nacional de Economia [Proceedings of the 32nd Brazilian Economics Meeting] 135, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    11. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    12. 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.
    13. Pham, Thai-Hung & Reilly, Barry, 2007. "The gender pay gap in Vietnam, 1993-2002: A quantile regression approach," Journal of Asian Economics, Elsevier, vol. 18(5), pages 775-808, October.
    14. Tushar Agrawal, 2011. "Returns to education in India: Some recent evidence," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2011-017, Indira Gandhi Institute of Development Research, Mumbai, India.
    15. 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.
    16. Yang, Guanyi, 2018. "Endogenous Skills and Labor Income Inequality," MPRA Paper 89638, University Library of Munich, Germany.
    17. repec:zbw:rwirep:0065 is not listed on IDEAS
    18. 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.
    19. 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.
    20. 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.
    21. 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.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wiw:wiwrsa:ersa06p44. 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: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    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.