Counterfactual distributions with sample selection adjustments: Econometric theory and an application to the Netherlands

By James Albrecht, A. Vuuren, Susan Vroman. 2007

197 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8a33cec8ccd8eccd136513871e8bad2318c5b23c

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In Economics and Econometrics

Citations in the corpus

Quantile Selection Models with an Application to Understanding Changes in Wage Inequality (2017, unknown): “[4] Albrecht, J.”
The Gender Gap between Earnings Distributions (2019, background): “Such analysis has a long-standing history in labor economics (see Altonji and Blank (1999) and Fortin et al. (2011) for excellent accounts of this issue).”
Misspecification Testing in a Class of Conditional Distributional Models (2013, unknown): “For example, to test the validity of the linear quantile regression model, we would first obtain an estimate of the conditional CDF of Y given X by inverting the estimated conditional quantile function, and then transform this object into an estimate of the joint CDF of (Y,X) by “integrating up”…”
Gender wage gaps, ‘sticky floors’ and ‘glass ceilings’ in Europe ☆ (2013, background): “…some European countries (see, inter alia, Albrecht et al (2003), Arulampalam et al (2007), de la Rica et al (2008), Olivetti and Petrongolo (2008), Albrecht et al (2009), and Nicodemo (2009)), this paper focuses on the mean and median unexplained gaps, ‘sticky floors’ and ‘glass ceilings’ that…”
Gender Wage Gap: A Semi-Parametric Approach with Sample Selection Correction (2011, unknown): “Given that sample selection might be an important issue in this framework, it is surprising that, apart from Albrecht et al. (2009) who adjusted the gender wage gap for the selectivity into full-time work, there are no studies that correct the gender gap across the wage distribution for the…”
Inference on counterfactual distributions (2009, unknown): “The third term is of order op(1) uniformly in y since the stochastic integral ∫ X Ẑ(y, x)dB̂ j X(x) is bounded in probability uniformly in y by condition D.”