IDEAS home Printed from https://ideas.repec.org/p/hka/wpaper/2017-007.html
   My bibliography  Save this paper

The Cobb Douglas marriage matching function: Marriage matching with peer and scale effects

Author

Listed:
  • Ismael Mourifié

    (University of Toronto)

  • Aloysius Siow

    (University of Toronto)

Abstract

This paper proposes an elementary empirical framework to study behavioral marriage matching models, the Cobb Douglas marriage matching function (CD MMF). It accommodates different kinds of relationships, peer and scale effects, changes in population supplies and gains to relationships. The CD MMF encompasses the Choo and Siow (2006a, CS), Dagsvik (2000), Menzel (2015), Chiappori, Salanie and Weiss (1016) MMFs, and CS with peer and scale effects (CSPE). Given population supplies, the CD MMF equilibrium matching always exists and is unique. The CD MMF is estimated on marriage and cohabitation of the white population in US states from 1990 to 2010. Scale effects are present in US marriage markets. CSPE is not rejected by the data. The paper also extends the framework to consider Brock and Durlauf (2001) peer effects specification in marriage matching models.

Suggested Citation

  • Ismael Mourifié & Aloysius Siow, 2017. "The Cobb Douglas marriage matching function: Marriage matching with peer and scale effects," Working Papers 2017-007, Human Capital and Economic Opportunity Working Group.
    • Handle: RePEc:hka:wpaper:2017-007
    Note: ECI
    as

    Download full text from publisher

    File URL: http://humcap.uchicago.edu/RePEc/hka/wpaper/mourifie_siow_2017_cobb-douglas-marriage-matching.pdf
    File Function: First version, 2017
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anderberg, Dan & Vickery, Alexander, 2021. "The role of own-group density and local social norms for ethnic marital sorting: Evidence from the UK," European Economic Review, Elsevier, vol. 138(C).
    2. Ismael Mourifié, 2019. "A marriage matching function with flexible spillover and substitution patterns," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 67(2), pages 421-461, March.
    3. Baiyu Dong & Yu-Wei Hsieh & Xing Zhang, 2022. "Implementing Maximum Likelihood Estimation of Empirical Matching Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 1-32, January.
    4. Hortaçsu, Ali & Hwang, Sam Il Myoung & Mathur, Divya, 2019. "Monetary incentives on inter-caste marriages in India: Theory and evidence," Journal of Development Economics, Elsevier, vol. 141(C).
    5. Liang Chen & Eugene Choo & Alfred Galichon & Simon Weber, 2021. "Matching Function Equilibria with Partial Assignment: Existence, Uniqueness and Estimation," Papers 2102.02071, arXiv.org, revised Sep 2023.
    6. Gutierrez, Federico H., 2020. "A simple solution to the problem of independence of irrelevant alternatives in Choo and Siow marriage market model," Economics Letters, Elsevier, vol. 186(C).
    7. Jacques Silber & Sasiwimon Warunsiri Paweenawat & Lusi Liao, 2022. "On the measurement of non-random mating and of its change over time," Review of Economics of the Household, Springer, vol. 20(1), pages 161-198, March.

    More about this item

    Keywords

    matching; marriage market;

    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General

    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:hka:wpaper:2017-007. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Jennifer Pachon (email available below). General contact details of provider: https://edirc.repec.org/data/mfichus.html .

    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.