The Cobb-Douglas Marriage Matching Function: Marriage Matching with Peer and Scale Effects
Ismael Mourifié and
Aloysius Siow
Journal of Labor Economics, 2021, vol. 39, issue S1, S239 - S274
Abstract:
Across states, there is little correlation between a state’s marriage rate or cohabitation rate and own population. Within states, there is a positive (no) correlation between a state’s marriage (cohabitation) rate and its population growth rate. The Cobb-Douglas marriage matching function (CDMMF), which extends the Choo-Siow MMF to include peer effects, can rationalize these correlations. The model is easy to estimate. The CDMMF is estimated using panel data across US states from 1990 to 2010. The estimated model replicates the above scale effects. These effects are not sufficient to explain the large recent declines in the gains to marriage.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://dx.doi.org/10.1086/711491 (application/pdf)
http://dx.doi.org/10.1086/711491 (text/html)
Access to the online full text or PDF requires a subscription.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ucp:jlabec:doi:10.1086/711491
Access Statistics for this article
More articles in Journal of Labor Economics from University of Chicago Press
Bibliographic data for series maintained by Journals Division ().