The Wage Elasticity of Labour Supply: A Synthesis of Empirical Estimates
By Michiel Evers, Ruud A. De Mooij, D. Vuuren. 2008
230 citations recorded by the source corpus.
SummaryThis paper performs a meta-analysis of empirical estimates of uncompensated labour supply elasticities. For the Netherlands, we find that an elasticity of 0.5 for women and 0.1 for men is a good reflection of what the literature reveals. The elasticity for men hardly differs between countries, but for women some cross-country variation is found. The increasing participation rate of women may lead to a somewhat lower elasticity in the future. Both the specification of the hours function and the estimation method are found to affect elasticity estimates.
Subfields: Economics and Econometrics, Gender Studies, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/72241415d6951d1d48b1a4e54c4e956eb6775d7b
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In Economics and Econometrics
- Andreas Peichl
- Olivier Bargain
- Nadia Steiber
- Barbara Haas
- Kristian Orsini
- F. Figari
- Holly Sutherland
- W. Van Lancker
In Gender Studies
- Andreas Peichl
- Olivier Bargain
- Nadia Steiber
- Barbara Haas
- Kristian Orsini
- F. Figari
- Holly Sutherland
- W. Van Lancker
In Sociology and Political Science
Citations in the corpus
- Comparing Labor Supply Elasticities in Europe and the US: New Results (2012, methodology): “…the graphs below, and are also reported in the tables of Appendix D, which contain detailed own-wage hour elasticities, compensated and uncompensated, overall and for quintiles of disposable income.20 We start with own-wage elasticities, as reported in Figure 1.21 Results for Married Individuals.”
- Advances in explaining women's employment patterns (2012, background): “Furthermore, a recent meta-analysis of applied research suggests significant cross-country differences in the degree to which women respond to changes in the wage rate by changing their labour supply (i.e. in terms of wage elasticities, Evers et al. 2008).”
- Comparing Labor Supply Elasticities in Europe and the United States (2014, background): “03 for married women while Evers et al. (2008) indicate huge variation in elasticity estimates. Admittedly, much of the variation across studies is due to different methodological choices, including the type of data used (tax register data or interview- based surveys), selection (for example househo”