Labor supply analysis with non-convex budget sets without the Hausman approach

John Dagsvik and Steinar Strøm ()

Discussion Papers from Statistics Norway, Research Department

Abstract: When the budget set is non-convex the application of the Hausman approach to estimate labor supply functions will in general be cumbersome because labor supply no longer depends solely on marginal criteria (first order conditions). In this paper we demonstrate that the conventional continuous labor supply model (including corner solution for non-participation) with non-convex budget sets in some cases can be estimated using only first order conditions provided the budget curve is continuously differentiable and the utility function belongs to a particular class. We subsequently discuss how the model can be specified econometrically. Finally, we discuss the application of the model to simulate the effect of counterfactual reforms.

Keywords: Labor supply; non-convex budget sets; marginal criteria (search for similar items in EconPapers)
JEL-codes: C51 J22 (search for similar items in EconPapers)
Pages: 18 pages
Date: 2017-03
New Economics Papers: this item is included in nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.ssb.no/en/forskning/discussion-papers/_attachment/299771 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found

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:ssb:dispap:857

Ordering information: This working paper can be ordered from
https://www.ssb.no/e ... ysis-with-non-convex

Access Statistics for this paper

More papers in Discussion Papers from Statistics Norway, Research Department P.O.Box 8131 Dep, N-0033 Oslo, Norway. Contact information at EDIRC.
Bibliographic data for series maintained by L Maasø ().