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Accounting for age in marital search decisions

Author

Listed:
  • Serife Nuray Akin

    (Department of Economics, University of Miami)

  • Matthew Butler

    (Department of Economics, Brigham Young University)

  • Brennan C. Platt

    (Department of Economics, Brigham Young University)

Abstract

The average quality of spouse an individual marries varies significantly with age at marriage, peaking in the mid-twenties, then declining through the mid-forties, as does the hazard rate of marriage. Using a non-stationary sequential search model, we identify the search frictions that generate these age-dependent marriage outcomes. We find that the arrival rate of suitors is the dominant friction, responsible for 80% of hazard rate variation and 49% of spouse quality variation. Surprisingly, the distribution of suitor quality is a lower-order concern. Also, individual choice, rather than worsening frictions, is responsible for most of the decline in spouse quality.

Suggested Citation

  • Serife Nuray Akin & Matthew Butler & Brennan C. Platt, 2013. "Accounting for age in marital search decisions," Working Papers 2013-01, University of Miami, Department of Economics.
  • Handle: RePEc:mia:wpaper:2013-01
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    References listed on IDEAS

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    1. Bergstrom, Theodore C & Bagnoli, Mark, 1993. "Courtship as a Waiting Game," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 185-202, February.
    2. David S. Loughran, 2002. "The Effect Of Male Wage Inequality On Female Age At First Marriage," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 237-250, May.
    3. Per Krusell & Toshihiko Mukoyama & Richard Rogerson & Ayşegül Şahin, 2010. "Aggregate labor market outcomes: The roles of choice and chance," Quantitative Economics, Econometric Society, vol. 1(1), pages 97-127, July.
    4. Kotlikoff, Laurence J & Spivak, Avia, 1981. "The Family as an Incomplete Annuities Market," Journal of Political Economy, University of Chicago Press, vol. 89(2), pages 372-391, April.
    5. Boulier, Bryan L & Rosenzweig, Mark R, 1984. "Schooling, Search, and Spouse Selection: Testing Economic Theories of Marriage and Household Behavior," Journal of Political Economy, University of Chicago Press, vol. 92(4), pages 712-732, August.
    6. Lones Smith, 2006. "The Marriage Model with Search Frictions," Journal of Political Economy, University of Chicago Press, vol. 114(6), pages 1124-1146, December.
    7. Elizabeth M. Caucutt & Nezih Guner & John Knowles, 2002. "Why Do Women Wait? Matching, Wage Inequality, and the Incentives for Fertility Delay," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(4), pages 815-855, October.
    8. Melvyn G. Coles & Marco Francesconi, 2011. "On The Emergence Of Toyboys: The Timing Of Marriage With Aging And Uncertain Careers," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(3), pages 825-853, August.
    9. Becker, Gary S, 1973. "A Theory of Marriage: Part I," Journal of Political Economy, University of Chicago Press, vol. 81(4), pages 813-846, July-Aug..
    10. Javier Díaz‐Giménez & Eugenio Giolito, 2013. "Accounting For The Timing Of First Marriage," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(1), pages 135-158, February.
    11. repec:mpr:mprres:7714 is not listed on IDEAS
    12. Becker, Gary S, 1974. "A Theory of Marriage: Part II," Journal of Political Economy, University of Chicago Press, vol. 82(2), pages 11-26, Part II, .
    13. Gary S. Becker, 1974. "A Theory of Marriage," NBER Chapters, in: Economics of the Family: Marriage, Children, and Human Capital, pages 299-351, National Bureau of Economic Research, Inc.
    14. Keeley, Michael C, 1979. "An Analysis of the Age Pattern of First Marriage," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 20(2), pages 527-544, June.
    15. Chade, Hector, 2001. "Two-sided search and perfect segregation with fixed search costs," Mathematical Social Sciences, Elsevier, vol. 42(1), pages 31-51, July.
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    Cited by:

    1. Hani Mansour & Terra McKinnish, 2023. "Male wage inequality and characteristics of “early mover” marriages," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(1), pages 115-138, January.
    2. Ş. Akın & Brennan Platt, 2014. "A theory of search with deadlines and uncertain recall," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 55(1), pages 101-133, January.

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    More about this item

    Keywords

    Marriage market frictions; spouse quality; reservation quality over the life-cycle; non-stationary search;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure

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