Public-private wage gaps : is civil-servant human capital sector-specific?
AbstractWhat would be the counterfactual wage of civil servants if they were employed in the private sector? Using the French European Household panel, we present a new approach to the wage differential between the public and the private sectors. We estimate a model, which controls both for selection into employment, and for self-selection into the public sector. We also introduce unobserved heterogeneity in the propensity to be employed in either job sector, and in the sector-specific productivity. Evidence based on the counterfactual distributions suggests a large public-private wage premium for low public wages. This conclusion also holds for women but may be explained by a weaker discrimination in the public sector. Unlike women, most male civil servants would earn more in the private sector.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Institut National de la Statistique et des Etudes Economiques, DESE in its series Documents de Travail de la DESE - Working Papers of the DESE with number g2010-16.
Date of creation: 2010
Date of revision:
counterfactual distributions; wage differentials; public and private sector; unobserved heterogeneity;
Find related papers by JEL classification:
- J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
- J45 - Labor and Demographic Economics - - Particular Labor Markets - - - Public Sector Labor Markets
- J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
You can help add them by filling out this form.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (D3E).
If references are entirely missing, you can add them using this form.