Estimating Intrahousehold Allocation in a Collective Model With Household Production

Thomas Aronsson (), Sven-Olov Daunfeldt () and Magnus Wikström ()
Additional contact information
Thomas Aronsson: Department of Economics, Umeå University, Postal: Umeå University, S 901 87 Umeå, Sweden

No 495, Umeå Economic Studies from Umeå University, Department of Economics

Abstract: The purpose of this paper is to estimate the intra-family distribution of income and the individual demand for leisure and household production from Swedish cross-sectional household data. As a basis for the analysis, we use a collective model where each individual is characterized by his or her own utility function and divides total time between leisure, household production and market work. For the purpose of comparison, we also estimate a more traditional model of labor supply, the unitary model. It is found that the unitary model can be rejected against the more general collective model, while the income pooling hypothesis cannot be rejected.

Keywords: Intra-household allocation; time-use; household production; collective model (search for similar items in EconPapers)
JEL-codes: D13 J22 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-pol
Date: 1999-03-09
View citations in EconPapers

Published in Journal of Population Economics, 2001, pages 569-584.

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Journal Article: Estimating intrahousehold allocation in a collective model with household production (2001)
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: http://EconPapers.repec.org/RePEc:hhs:umnees:0495

Access Statistics for this paper

More papers in Umeå Economic Studies from Umeå University, Department of Economics
Address: Department of Economics, Umeå University, S-901 87 Umeå, Sweden
Contact information at EDIRC.
Series data maintained by Kjell-Göran Holmberg ().