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Education, Matching, and the Allocative Value of Romance

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  • Alison Booth
  • Melvyn Coles

Abstract

Societies are characterized by customs governing the allocation of non-market goods such as marital partnerships. We explore how such customs affect the educational investment decisions of young singles and the subsequent joint labor supply decisions of partnered couples. We consider two separate matching paradigms-one where partners marry for money and the other where partners marry for romantic reasons orthogonal to productivity or debt. Whereas marrying for money generates greater investment efficiency, romantic matching, by increasing the number of educated and talented women who participate in the labour market, increases aggregate productivity. (JEL: I21, J12, J16, J41) (c) 2010 by the European Economic Association.

Suggested Citation

  • Alison Booth & Melvyn Coles, 2010. "Education, Matching, and the Allocative Value of Romance," Journal of the European Economic Association, MIT Press, vol. 8(4), pages 744-775, June.
  • Handle: RePEc:tpr:jeurec:v:8:y:2010:i:4:p:744-775
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    References listed on IDEAS

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    1. Robert Shimer & Lones Smith, 2000. "Assortative Matching and Search," Econometrica, Econometric Society, vol. 68(2), pages 343-370, March.
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    Cited by:

    1. Kai Konrad, 2015. "Affection, speed dating and heartbreaking," Journal of Population Economics, Springer;European Society for Population Economics, vol. 28(1), pages 159-172, January.
    2. Herrenbrueck, Lucas & Xia, Xiaoyu & Eastwick, Paul & Hui, Chin Ming, 2018. "Smart-dating in speed-dating: How a simple Search model can explain matching decisions," European Economic Review, Elsevier, vol. 106(C), pages 54-76.
    3. Booth, Alison L. & Coles, Melvyn, 2007. "A microfoundation for increasing returns in human capital accumulation and the under-participation trap," European Economic Review, Elsevier, vol. 51(7), pages 1661-1681, October.
    4. Alessandro Tampieri, 2010. "Sex and the Uni: Higher Education Effects in Job and Marital Satisfaction," Discussion Papers in Economics 10/07, Division of Economics, School of Business, University of Leicester, revised Sep 2010.
    5. Booth, A.L. & Coles, M.G., 2010. "Tax policy and returns to education," Labour Economics, Elsevier, vol. 17(1), pages 291-301, January.
    6. Thomas Gall & Xiaocheng Hu & Michael Vlassopoulos, 2019. "Dynamic incentive effects of assignment mechanisms: Experimental evidence," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(4), pages 687-712, November.
    7. Coles, Melvyn & Francesconi, Marco, 2007. "On the Emergence of Toyboys: Equilibrium Matching with Ageing and Uncertain Careers," IZA Discussion Papers 2612, Institute of Labor Economics (IZA).
    8. Bilancini, Ennio & Boncinelli, Leonardo, 2013. "Disclosure of information in matching markets with non-transferable utility," Games and Economic Behavior, Elsevier, vol. 82(C), pages 143-156.
    9. Gall, Thomas & Hu, Xiaocheng & Vlassopoulos, Michael, 2016. "Dynamic Incentive Effects of Team Formation: Experimental Evidence," IZA Discussion Papers 10393, Institute of Labor Economics (IZA).
    10. Alison Booth & Melvyn Coles & Xiaodong Gong, 2006. "Increasing Returns to Education: Theory and Evidence," CEPR Discussion Papers 522, Centre for Economic Policy Research, Research School of Economics, Australian National University.

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    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J41 - Labor and Demographic Economics - - Particular Labor Markets - - - Labor Contracts

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