EconStor >
University of Oslo >
Department of Economics, University of Oslo >
Memorandum, Department of Economics, University of Oslo >

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10419/63046
  
Title:A mixture model of household retirement choice PDF Logo
Authors:Jia, Zhiyang
Issue Date:2003
Series/Report no.:Memorandum, Department of Economics, University of Oslo 2003,04
Abstract:This paper analyzes the labor market participation behavior of the elderly couples when a new option (early retirement) becomes available to the husband. Unlike other studies of household labor supply model, which assume that all the households follow the same decision making structure, we assume there are two types of household, the cooperative type and the non-cooperative type. When facing the choice problem, those belong to the non-cooperative type behave according to a Stackelberg game with male as the leader, while those of the cooperative type follow a simple unitary model. Under this assumption, we formulate a mixture model using the latent class analysis framework. This model explicitly takes account of the unobserved heterogeneity in decision making structures. The empirical estimation of the model is based on register data from Statistics Norway. We find that more than half of the households belong to the non-cooperative type. And these households on average have lower education level than those of the cooperative type. Our conjecture is that this may suggest that it is easier for higher education couples to communicate and compromise to reach a efficient solution.
Subjects:household labor supply
retirement
latent class analysis
heterogeneity
econometric models
JEL:D10
H55
J26
Document Type:Working Paper
Appears in Collections:Memorandum, Department of Economics, University of Oslo

Files in This Item:
File Description SizeFormat
361640625.pdf279.21 kBAdobe PDF
No. of Downloads: Counter Stats
Download bibliographical data as: BibTeX
Share on:http://hdl.handle.net/10419/63046

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.