What Explains the Variation in Estimates of Labour Supply Elasticities?

Michiel Evers, Ruud de Mooij and Daniel van Vuuren

No 1633, CESifo Working Paper Series from CESifo

Abstract: This paper performs a meta-analysis of empirical estimates of uncompensated labour supply elasticities. We find that much of the variation in elasticities can be explained by the variation in gender, participation rates, and country fixed effects. Country differences appear to be small though. There is no systematic impact of the model specification or marital status on reported elasticities. The decision to participate is more responsive than is the decision regarding hours worked. Even at the intensive margin, we find that the elasticity for women exceeds that for men. For men and women in the Netherlands, we predict an uncompensated labour supply elasticity of 0.1 and 0.5, respectively. These values are robust for alternative samples and specifications of the meta regression.

Keywords: labour supply; meta-analysis; uncompensated elasticity (search for similar items in EconPapers)
JEL-codes: H20 J22 (search for similar items in EconPapers)
Date: 2005
New Economics Papers: this item is included in nep-lab and nep-pbe
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (73)

Downloads: (external link)
https://www.cesifo.org/DocDL/cesifo1_wp1633.pdf (application/pdf)

Related works:
Working Paper: What explains the Variation in Estimates of Labour Supply Elasticities? (2006)
Working Paper: What explains the variation in estimates of labour supply elasticities? (2005)
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:ces:ceswps:_1633

Access Statistics for this paper

More papers in CESifo Working Paper Series from CESifo Contact information at EDIRC.
Bibliographic data for series maintained by Klaus Wohlrabe ().