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We estimate the public wage gap in France for the period 1990-2002, both at the mean and at different quantiles of the wage distribution, for men and women separately. We account for unobserved heterogeneity by using fixed effects estimations on panel data and, departing from usual practice,...
Persistent link: https://www.econbiz.de/10005822485
We investigate the wage effects of privatization using person-level firm-based panel datasets from one privatized and one nonprivatized public sector firm in the same country for the years immediately before and after privatization. Thus, we can analyze the before-after effects of privatization...
Persistent link: https://www.econbiz.de/10005822644
Identi?cation in most sample selection models depends on the independence of the regressors and the error terms conditional on the selection probability. All quantile and mean functions are parallel in these models; this implies that quantile estimators cannot reveal any? per assumption...
Persistent link: https://www.econbiz.de/10011196573
Most sample selection models assume that the errors are independent of the regressors. Under this assumption, all quantile and mean functions are parallel, which implies that quantile estimators cannot reveal any (per definition non-existing) heterogeneity. However, quantile estimators are...
Persistent link: https://www.econbiz.de/10008874628
In this article, we discuss the implementation of various estimators proposed to estimate quantile treatment effects. We distinguish four cases involv- ing conditional and unconditional quantile treatment effects with either exogenous or endogenous treatment variables. The introduced ivqte...
Persistent link: https://www.econbiz.de/10008677204
Counterfactual distributions are important ingredients for policy analysis and de-composition analysis in empirical economics. In this article we develop modelling and inference tools for counterfactual distributions based on regression methods. The counterfactual scenarios that we consider...
Persistent link: https://www.econbiz.de/10010660012
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We introduce a nonparametric estimator for local quantile treatment effects in the regression discontinuity (RD) design. The procedure uses local distribution regression to estimate the marginal distributions of the potential outcomes. We illustrate the procedure through Monte Carlo simulations...
Persistent link: https://www.econbiz.de/10011052292