EconPapers    
Economics at your fingertips  
 

Identification and Parametric Estimation of Empirical Dynamic Marriage Matching Models

Liang Chen and Eugene Choo

The Economic Journal, 2023, vol. 133, issue 651, 1005-1035

Abstract: Marriage matching markets typically involve heterogenous agents participating in a dynamic, non-stationary environment. These features pose a considerable modelling challenge. In this paper, we develop a new parametric model of dynamic marriage that allows for market non-stationarity using a system of transitionary equilibria. We propose a method to identify and parametrically estimate the model by representing the model equilibrium with a fixed-point mapping. We apply our model to investigate how China’s one-child policy has affected the marriage distribution through its effect on the population and sex ratios.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1093/ej/ueac052 (application/pdf)
Access to full text is restricted to subscribers.

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:oup:econjl:v:133:y:2023:i:651:p:1005-1035.

Ordering information: This journal article can be ordered from
https://academic.oup.com/journals

Access Statistics for this article

The Economic Journal is currently edited by Francesco Lippi

More articles in The Economic Journal from Royal Economic Society Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press () and ().

 
Page updated 2025-03-19
Handle: RePEc:oup:econjl:v:133:y:2023:i:651:p:1005-1035.