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Early Labour Market Returns to College Subject

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  • Paolo Buonanno
  • Dario Pozzoli

Abstract

We estimate early labour market outcomes of Italian university graduates across college subjects. We devote great attention to endogenous selection issues using alternative methods to control for potential self-selection associated with the choice of the degree subject in order to unravel the causal link between college major and subsequent outcomes in the labour market. Our results suggest that 'quantitative' fields (i.e. Sciences, Engineering, and Economics) increase not only the speed of transition into the first job and employment probability but also early earnings, conditional on employment. Copyright 2009 CEIS, Fondazione Giacomo Brodolini and Blackwell Publishing Ltd.

Suggested Citation

  • Paolo Buonanno & Dario Pozzoli, 2009. "Early Labour Market Returns to College Subject," LABOUR, CEIS, vol. 23(4), pages 559-588, December.
  • Handle: RePEc:bla:labour:v:23:y:2009:i:4:p:559-588
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    1. Michael Lechner, 2002. "Some practical issues in the evaluation of heterogeneous labour market programmes by matching methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(1), pages 59-82.
    2. Daniele Checchi & Luca Flabbi, 2013. "Intergenerational Mobility and Schooling Decisions in Germany and Italy: The Impact of Secondary School Tracks," Rivista di Politica Economica, SIPI Spa, issue 3, pages 7-57, July-Sept.
    3. L. Biggeri & M. Bini & L. Grilli, 2001. "The transition from university to work: a multilevel approach to the analysis of the time to obtain the first job," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(2), pages 293-305.
    4. Mark B. Stewart, 1983. "On Least Squares Estimation when the Dependent Variable is Grouped," Review of Economic Studies, Oxford University Press, vol. 50(4), pages 737-753.
    5. Bryson, Alex, 2002. "The union membership wage premium: an analysis using propensity score matching," LSE Research Online Documents on Economics 4953, London School of Economics and Political Science, LSE Library.
    6. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    7. Lechner, Michael, 1999. "Identification and Estimation of Causal Effects of Multiple Treatments Under the Conditional Independence Assumption," IZA Discussion Papers 91, Institute for the Study of Labor (IZA).
    8. Jere R. Behrman & Mark R. Rosenzweig, 2002. "Does Increasing Women's Schooling Raise the Schooling of the Next Generation?," American Economic Review, American Economic Association, vol. 92(1), pages 323-334, March.
    9. Mark C. Berger, 1988. "Predicted Future Earnings and Choice of College Major," ILR Review, Cornell University, ILR School, vol. 41(3), pages 418-429, April.
    10. Brunello, Giorgio & Cappellari, Lorenzo, 2008. "The labour market effects of Alma Mater: Evidence from Italy," Economics of Education Review, Elsevier, vol. 27(5), pages 564-574, October.
    11. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    12. Keane, Michael P, 1992. "A Note on Identification in the Multinomial Probit Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(2), pages 193-200, April.
    13. Bryson, Alex & Dorsett, Richard & Purdon, Susan, 2002. "The use of propensity score matching in the evaluation of active labour market policies," LSE Research Online Documents on Economics 4993, London School of Economics and Political Science, LSE Library.
    14. Geweke, John F. & Keane, Michael P. & Runkle, David E., 1997. "Statistical inference in the multinomial multiperiod probit model," Journal of Econometrics, Elsevier, vol. 80(1), pages 125-165, September.
    15. Alberto Abadie & Guido W. Imbens, 2008. "On the Failure of the Bootstrap for Matching Estimators," Econometrica, Econometric Society, vol. 76(6), pages 1537-1557, November.
    16. Rochat, Denis & Demeulemeester, Jean-Luc, 2001. "Rational choice under unequal constraints: the example of Belgian higher education," Economics of Education Review, Elsevier, vol. 20(1), pages 15-26, February.
    17. Richard Blundell & Lorraine Dearden & Barbara Sianesi, 2003. "Evaluating the impact of education on earnings in the UK: Models, methods and results from the NCDS," IFS Working Papers W03/20, Institute for Fiscal Studies.
    18. Blundell, Richard, et al, 2000. "The Returns to Higher Education in Britain: Evidence from a British Cohort," Economic Journal, Royal Economic Society, vol. 110(461), pages 82-99, February.
    19. Linda Datcher Loury, 1997. "The Gender Earnings Gap among College-Educated Workers," ILR Review, Cornell University, ILR School, vol. 50(4), pages 580-593, July.
    20. Robert Haveman & Barbara Wolfe, 1995. "The Determinants of Children's Attainments: A Review of Methods and Findings," Journal of Economic Literature, American Economic Association, vol. 33(4), pages 1829-1878, December.
    21. Thomas N. Daymonti & Paul J. Andrisani, 1984. "Job Preferences, College Major, and the Gender Gap in Earnings," Journal of Human Resources, University of Wisconsin Press, vol. 19(3), pages 408-428.
    22. Arcidiacono, Peter, 2004. "Ability sorting and the returns to college major," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 343-375.
    23. Jeff Grogger & Eric Eide, 1995. "Changes in College Skills and the Rise in the College Wage Premium," Journal of Human Resources, University of Wisconsin Press, vol. 30(2), pages 280-310.
    24. Loury, Linda Datcher & Garman, David, 1995. "College Selectivity and Earnings," Journal of Labor Economics, University of Chicago Press, vol. 13(2), pages 289-308, April.
    25. Gabriele BALLARINO & Massimiliano BRATTI, 2006. "Fields of study and graduates’ occupational outcomes in Italy during the 90s. Who won and who lost?," Departmental Working Papers 2006-17, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    26. James, Estelle, et al, 1989. "College Quality and Future Earnings: Where Should You Send Your Child to College?," American Economic Review, American Economic Association, vol. 79(2), pages 247-252, May.
    27. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
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    Cited by:

    1. Maria De Paola & Francesca Gioia, 2011. "Risk Aversion And Major Choice: Evidence From Italian Students," Working Papers 201107, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    2. Di Paolo, Antonio & Tansel, Aysit, 2017. "Analyzing Wage Differentials by Fields of Study: Evidence from Turkey," GLO Discussion Paper Series 91, Global Labor Organization (GLO).
    3. Giorgio Brunello & Maria De Paola & Vincenzo Scoppa, 2010. "Peer Effects In Higher Education: Does The Field Of Study Matter?," Economic Inquiry, Western Economic Association International, vol. 48(3), pages 621-634, July.
    4. Maestri, Virginia, 2013. "Promoting scientific faculties: Does it work? Evidence from Italy," Economics of Education Review, Elsevier, vol. 32(C), pages 168-180.
    5. Barbara S. Grave & Katja Goerlitz, 2012. "Wage differentials by field of study -- the case of German university graduates," Education Economics, Taylor & Francis Journals, vol. 20(3), pages 284-302, March.
    6. Giorgia Casalone & Carmen Aina, 2011. "Does time-to-degree matter? The effect of delayed graduation on employment and wages," Working Papers 38, AlmaLaurea Inter-University Consortium.
    7. Doris, Aedín & O’Neill, Donal & Sweetman, Olive, 2013. "Gender, single-sex schooling and maths achievement," Economics of Education Review, Elsevier, vol. 35(C), pages 104-119.
    8. Aglaia G. Kalamatianou & Foteini Kougioumoutzaki, 2012. "Employment Status and Job-Studies Relevance of Social Science Graduates: The Experience from a Greek Public University," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Eastern Macedonia and Thrace Institute of Technology (EMATTECH), Kavala, Greece, vol. 5(1), pages 51-75, April.
    9. Noe', Chiara, 2009. "Subject of degree and the gender wage gap: Evidence from Italy," MPRA Paper 47289, University Library of Munich, Germany.
    10. Katja Görlitz & Barbara S. Grave, 2012. "Wage Differentials by Field of Study – The Case of German University Graduates," Ruhr Economic Papers 0316, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    11. Bosio, Giulio & Leonardi, Marco, 2011. "The Impact of Bologna Process on the Graduate Labour Market: Demand and Supply," IZA Discussion Papers 5789, Institute for the Study of Labor (IZA).
    12. repec:zbw:rwirep:0316 is not listed on IDEAS
    13. Lehouelleur, Sophie & Beblavý, Miroslav & Maselli,Ilaria, 2015. "How returns from tertiary education differ by field of study: Implications for policy-makers and students," CEPS Papers 10835, Centre for European Policy Studies.

    More about this item

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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