The Collective Marriage Matching Model: Identification, Estimation and Testing

Eugene Choo (), Shannon Seitz () and Aloysuis Siow
Additional contact information
Aloysuis Siow: University of Toronto

No 704, Boston College Working Papers in Economics from Boston College Department of Economics

Abstract: We develop and estimate an empirical collective model with endogenous marriage formation, participation, and family labor supply. Intra-household transfers arise endogenously as the transfers that clear the marriage market. The intra-household allocation can be recovered from observations on marriage decisions. Introducing the marriage market in the collective model allows us to independently estimate transfers from labor supplies and from marriage decisions. We esti- mate a semi-parametric version of our model using 2000 US Census data. Estimates of the model using marriage data are much more consistent with the theoretical predictions than estimates derived from labor supply.

Keywords: matching; marriage; family labor supply (search for similar items in EconPapers)
JEL-codes: J12 J22 (search for similar items in EconPapers)
Date: 2008-10-08
New Economics Papers: this item is included in nep-lab
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://fmwww.bc.edu/EC-P/wp704.pdf main text (application/pdf)

Related works:
Working Paper: The Collective Marriage Matching Model: Identification, Estimation and Testing (2008)
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:boc:bocoec:704

Access Statistics for this paper

More papers in Boston College Working Papers in Economics from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().