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Over-education for the rich vs under-education for the poor: a search-theoretic microfoundation

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Author Info

  • Olivier Charlot

    ()
    (Université Franche Comté - UFR SJEPG)

  • Bruno Decreuse

    ()
    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - Université de la Méditerranée - Aix-Marseille II - Université Paul Cézanne - Aix-Marseille III - Ecole des Hautes Etudes en Sciences Sociales (EHESS) - CNRS : UMR6579)

Abstract

This paper provides a search-theoretic microfoundation to the popular view according to which rich but poorly talented individuals crowd out poorer and more talented individuals from schooling. We consider a two-sector, two schooling level matching model of unemployment with ex-post rent-sharing. Individuals differ in ability and schooling cost, the search market is segmented by education, and there is free entry of new firms in each sector. Self-selection in education originates composition effects in the distribution of skills across sectors. This in turn modifies the intensity of job creation, implying the private and social returns to schooling always differ. Agents with large schooling costs — the poor — select themselves too much, while there is too little self-selection among the low schooling cost individuals — the rich. We also show that education should, on average, be more taxed than subsidized.

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Bibliographic Info

Paper provided by HAL in its series Working Papers with number halshs-00409583.

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Date of creation: 01 Jan 2006
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Handle: RePEc:hal:wpaper:halshs-00409583

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Related research

Keywords: Ability; Schooling costs; Matching frictions; Efficiency;

References

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  1. Harold L. Cole & George J. Mailath & Andrew Postlewaite, . ""Efficient Non-Contractible Investments''," CARESS Working Papres 98-13, University of Pennsylvania Center for Analytic Research and Economics in the Social Sciences.
  2. John M. Abowd & Francis Kramarz & David N. Margolis, 1994. "High Wage Workers and High Wage Firms," NBER Working Papers 4917, National Bureau of Economic Research, Inc.
  3. James Heckman, 2000. "Policies to Foster Human Capital," Working Papers 0028, Harris School of Public Policy Studies, University of Chicago.
  4. Stephen Cameron & Christopher Taber, 2000. "Borrowing Constraints and the Returns to Schooling," NBER Working Papers 7761, National Bureau of Economic Research, Inc.
  5. Raquel Fernandez, 2001. "Sorting, Education and Inequality," NBER Working Papers 8101, National Bureau of Economic Research, Inc.
  6. Harold L. Cole & George J. Mailath & Andrew Postlewaite, . "Efficient Non-Contractible Investments in Large Economies," Penn CARESS Working Papers e9e0aca257b20d3bb6bb4a52a, Penn Economics Department.
  7. Charlot, Olivier & Decreuse, Bruno, 2005. "Self-selection in education with matching frictions," Labour Economics, Elsevier, vol. 12(2), pages 251-267, April.
  8. Moscarini, Giuseppe, 2001. "Excess Worker Reallocation," Review of Economic Studies, Wiley Blackwell, vol. 68(3), pages 593-612, July.
  9. Robert Erikson & John H. Goldthorpe, 2002. "Intergenerational Inequality: A Sociological Perspective," Journal of Economic Perspectives, American Economic Association, vol. 16(3), pages 31-44, Summer.
  10. Maurin, Eric, 2002. "The impact of parental income on early schooling transitions: A re-examination using data over three generations," Journal of Public Economics, Elsevier, vol. 85(3), pages 301-332, September.
  11. Fershtman, Chaim & Murphy, Kevin M & Weiss, Yoram, 1996. "Social Status, Education, and Growth," Journal of Political Economy, University of Chicago Press, vol. 104(1), pages 108-32, February.
  12. Pedro Carneiro & James J. Heckman, 2002. "The Evidence on Credit Constraints in Post--secondary Schooling," Economic Journal, Royal Economic Society, vol. 112(482), pages 705-734, October.
  13. Nathan D. Grawe & Casey B. Mulligan, 2002. "Economic Interpretations of Intergenerational Correlations," NBER Working Papers 8948, National Bureau of Economic Research, Inc.
  14. Arrow, Kenneth J., 1973. "Higher education as a filter," Journal of Public Economics, Elsevier, vol. 2(3), pages 193-216, July.
  15. Hosios, Arthur J, 1990. "On the Efficiency of Matching and Related Models of Search and Unemployment," Review of Economic Studies, Wiley Blackwell, vol. 57(2), pages 279-98, April.
  16. Moen, Espen R, 1999. "Education, Ranking, and Competition for Jobs," Journal of Labor Economics, University of Chicago Press, vol. 17(4), pages 694-723, October.
  17. Stephen V. Cameron & James J. Heckman, 2001. "The Dynamics of Educational Attainment for Black, Hispanic, and White Males," Journal of Political Economy, University of Chicago Press, vol. 109(3), pages 455-499, June.
  18. Laing, Derek & Palivos, Theodore & Wang, Ping, 1995. "Learning, Matching and Growth," Review of Economic Studies, Wiley Blackwell, vol. 62(1), pages 115-29, January.
  19. Burdett, Ken & Smith, Eric, 2002. "The low skill trap," European Economic Review, Elsevier, vol. 46(8), pages 1439-1451, September.
  20. Shoshana NEUMAN & Ronald L. OAXACA, 2003. "Gender vs Ethnic Wage Differentials Among Professionals: Evidence from Israel," Annales d'Economie et de Statistique, ENSAE, issue 71-72, pages 267-292.
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Cited by:
  1. Mendolicchio, Concetta & Paolini, Dimitri & Pietra, Tito, 2012. "Investments in education and welfare in a two-sector, random matching economy," Journal of Mathematical Economics, Elsevier, vol. 48(6), pages 367-385.

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