IDEAS home Printed from https://ideas.repec.org/a/rpo/ripoec/v94y2004i6p49-100.html
   My bibliography  Save this article

Quantile Regression Evidence on Italian Education Returns

Author

Listed:
  • Pamela Giustinelli

    (University of Verona)

Abstract

This study intends to provide some updated empirical evidence on Italian Education Returns through Quantile Regression. Such a methodology enables us to explore the (Quantile Treatment) Effect of Schooling on the (shape of) income conditional distribution (viewed as reflecting the distribution of unobservable ability), and to analyze indirectly the education-ability interaction in the generation of human capital, and its effect on earnings. We obtain estimates displaying a U-shaped pattern, i.e. higher returns at the highest and lowest quantiles of income, suggesting substitution among human capital factors for low ability individuals, and complementarity for high ability earners.

Suggested Citation

  • Pamela Giustinelli, 2004. "Quantile Regression Evidence on Italian Education Returns," Rivista di Politica Economica, SIPI Spa, vol. 94(6), pages 49-100, November-.
    • Handle: RePEc:rpo:ripoec:v:94:y:2004:i:6:p:49-100
    as

    Download full text from publisher

    File URL: http://www.rivistapoliticaeconomica.it/2004/nov-dic/GiustinelliING.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ichino, Andrea & Winter-Ebmer, Rudolf, 1999. "Lower and upper bounds of returns to schooling: An exercise in IV estimation with different instruments," European Economic Review, Elsevier, vol. 43(4-6), pages 889-901, April.
    2. David Card, 1994. "Earnings, Schooling, and Ability Revisited," Working Papers 710, Princeton University, Department of Economics, Industrial Relations Section..
    3. 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.
    4. Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001. "Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data," Empirical Economics, Springer, vol. 26(1), pages 7-40.
    5. 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.
    6. David Card, 1994. "Earnings, Schooling, and Ability Revisited," Working Papers 710, Princeton University, Department of Economics, Industrial Relations Section..
    7. Card, David & Krueger, Alan B, 1992. "Does School Quality Matter? Returns to Education and the Characteristics of Public Schools in the United States," Journal of Political Economy, University of Chicago Press, vol. 100(1), pages 1-40, February.
    8. Hause, John C, 1972. "Earnings Profile: Ability and Schooling," Journal of Political Economy, University of Chicago Press, vol. 80(3), pages 108-138, Part II, .
    9. Mwabu, Germano & Schultz, T Paul, 1996. "Education Returns across Quantiles of the Wage Function: Alternative Explanations for Returns to Education by Race in South Africa," American Economic Review, American Economic Association, vol. 86(2), pages 335-339, May.
    10. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    11. Jin Huem Park, 1994. "Returns to Schooling: A Peculiar Deviation from Linearity," Working Papers 714, Princeton University, Department of Economics, Industrial Relations Section..
    12. Jin Huem Park, 1994. "Returns to Schooling: A Peculiar Deviation from Linearity," Working Papers 714, Princeton University, Department of Economics, Industrial Relations Section..
    13. Honore, Bo E & Hu, Luojia, 2004. "On the Performance of Some Robust Instrumental Variables Estimators," Journal of Business & Economic Statistics, American Statistical Association, vol. 22(1), pages 30-39, January.
    14. 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.
    15. 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.
    16. Orley Ashenfelter & Cecilia Rouse, 1998. "Income, Schooling, and Ability: Evidence from a New Sample of Identical Twins," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(1), pages 253-284.
    17. Buchinsky, Moshe, 1995. "Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study," Journal of Econometrics, Elsevier, vol. 68(2), pages 303-338, August.
    18. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
    19. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    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. Paolo Naticchioni & Andrea Ricci, 2009. "Falling Educational Wage Premia in Italy," QA - Rivista dell'Associazione Rossi-Doria, Associazione Rossi Doria, issue 4, December.
    2. Marilena Furno, 2020. "Returns to Education and Gender Wage Gap Across Quantiles in Italy," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 12(2), pages 145-169, June.
    3. Paolo Naticchioni & Andrea Ricci & Emiliano Rustichelli, 2008. "Wage Inequality, Employment Structure and Skill‐biased Change in Italy," LABOUR, CEIS, vol. 22(s1), pages 27-51, June.
    4. Paolo Naticchioni & Andrea Ricci, 2009. "Decreasing Wage Inequality in Italy: The Role of Supply and Demand for Education," Working Papers - Dipartimento di Economia 9-DEISFOL, Dipartimento di Economia, Sapienza University of Rome, revised 2009.
    5. Paolo Naticchioni & Andrea Ricci & Emiliano Rustichelli, 2007. "Wage Structure, Inequality And Skill-Biased Change: Is Italy An Outlier?," Quaderni del Dipartimento di Economia, Finanza e Statistica 38/2007, Università di Perugia, Dipartimento Economia.

    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. 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.
    2. 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).
    3. Krenz, Astrid, 2010. "La distinction reloaded: Returns to education, family background, cultural and social capital in Germany," University of Göttingen Working Papers in Economics 108, University of Goettingen, Department of Economics.
    4. repec:got:cegedp:108 is not listed on IDEAS
    5. Astrid Krenz, 2008. "Theorie und Empirie über den Wirkungszusammenhang zwischen sozialer Herkunft, kulturellem und sozialem Kapital, Bildung und Einkommen in der Bundesrepublik Deutschland," SOEPpapers on Multidisciplinary Panel Data Research 128, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001. "Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data," Empirical Economics, Springer, vol. 26(1), pages 7-40.
    7. Giorgio Brunello & Margherita Fort & Guglielmo Weber, 2009. "Changes in Compulsory Schooling, Education and the Distribution of Wages in Europe," Economic Journal, Royal Economic Society, vol. 119(536), pages 516-539, March.
    8. 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.
    9. Orley Ashenfelter & Cecilia Rouse, 1998. "Income, Schooling, and Ability: Evidence from a New Sample of Identical Twins," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(1), pages 253-284.
    10. Justin L. Tobias, 2003. "Are Returns to Schooling Concentrated Among the Most Able? A Semiparametric Analysis of the Ability–earnings Relationships," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(1), pages 1-29, February.
    11. Paolo Naticchioni & Andrea Ricci & Emiliano Rustichelli, 2007. "Wage Structure, Inequality And Skill-Biased Change: Is Italy An Outlier?," Quaderni del Dipartimento di Economia, Finanza e Statistica 38/2007, Università di Perugia, Dipartimento Economia.
    12. 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.
    13. 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.
    14. Fasih, Tazeen & Kingdon, Geeta & Patrinos, Harry Anthony & Sakellariou, Chris & Soderbom, Mans, 2012. "Heterogeneous returns to education in the labor market," Policy Research Working Paper Series 6170, The World Bank.
    15. 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.
    16. Daeheon Choi & Chune Young Chung & Ha Truong, 2019. "Return on Education in Two Major Vietnamese Cities," Sustainability, MDPI, vol. 11(18), pages 1-30, September.
    17. Regan, Tracy L. & Burghardt, Galen & Oaxaca, Ronald L., 2006. "A Human Capital Model of the Effects of Abilities and Family Background on Optimal Schooling Levels," IZA Discussion Papers 1927, Institute of Labor Economics (IZA).
    18. Justin L. Tobias & Mingliang Li, 2004. "Returns to Schooling and Bayesian Model Averaging: A Union of Two Literatures," Journal of Economic Surveys, Wiley Blackwell, vol. 18(2), pages 153-180, April.
    19. Lionel Perini, 2014. "Who Benefits Most from University Education in Switzerland?," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(II), pages 119-159, June.
    20. 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.
    21. Emanuela di Gropello, 2006. "Meeting the Challenges of Secondary Education in Latin America and East Asia : Improving Efficiency and Resource Mobilization," World Bank Publications - Books, The World Bank Group, number 7173.

    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I20 - Health, Education, and Welfare - - Education - - - General
    • 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:rpo:ripoec:v:94:y:2004:i:6:p:49-100. 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: Sabrina Marino (email available below). General contact details of provider: .

    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.