Intra-household Welfare Distribution by a New Method of the Sharing Rule Identification

Natalia Radtchenko
Additional contact information
Natalia Radtchenko: Crest
Authors registered in the RePEc Author Service: Natalia Radchenko

No 2007-08, Working Papers from Center for Research in Economics and Statistics

Abstract: The paper proposes a new application of the collective model of household behaviourto the analysis of intra-household inequality using the answers to the questions on subjectivewelfare.The collective approach attributes to each household member distinct preferences andassumes that household decisions are Pareto efficient. The individual choices are guided bythe sharing rule describing the intra-household decision making. So far, most empiricalstudies based on the collective approach have been restricted to the identification of thesharing rule up to a constant.This study prolongs the work of Kalugina, Radtchenko, Sofer (2007) and proposes anew method of the sharing rule identification using the information on individual welfaresatisfaction as an additional source of analysis. In spite of different sources of identificationused in the two analyses and substantial differences of the econometric models adoptedaccording to the identification sources, the results of the sharing rule estimation arequalitatively and quantitatively similar to those obtained in Kalugina, Radtchenko, Sofer(2007).

Pages: 1
Date: 2007
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://crest.science/RePEc/wpstorage/2007-08.pdf Crest working paper version (application/pdf)

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:crs:wpaper:2007-08

Access Statistics for this paper

More papers in Working Papers from Center for Research in Economics and Statistics Contact information at EDIRC.
Bibliographic data for series maintained by Secretariat General () and Murielle Jules Maintainer-Email : murielle.jules@ensae.Fr.