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dc.contributor.authorFernandez-Val, Ivanen_US
dc.contributor.authorChernozhukov, Victoren_US
dc.contributor.authorLuo, Siyien_US
dc.date.accessioned2020-09-16T15:43:20Z
dc.date.available2020-09-16T15:43:20Z
dc.date.issued2018
dc.identifier.citationIvan Fernandez-Val, Victor Chernozhukov, Siyi Luo. 2018. "Distribution Regression with Sample Selection, with an Application to Wage Decompositions in the UK." cemmap working paper, Volume CWP68/18,
dc.identifier.urihttps://hdl.handle.net/2144/41395
dc.description.abstractWe develop a distribution regression model under endogenous sample selection. This model is a semiparametric generalization of the Heckman selection model that accommodates much rich patterns of heterogeneity in the selection process and effect of the covariates. The model applies to continuous, discrete and mixed outcomes. We study the identi fication of the model, and develop a computationally attractive two-step method to estimate the model parameters, where the fi rst step is a probit regression for the selection equation and the second step consists of multiple distribution regressions with selection corrections for the outcome equation. We construct estimators of functionals of interest such as actual and counterfactual distributions of latent and observed outcomes via plug-in rule. We derive functional central limit theorems for all the estimators and show the validity of multiplier bootstrap to carry out functional inference. We apply the methods to wage decompositions in the UK using new data. Here we decompose the difference between the male and female wage distributions into four effects: composition, wage structure, selection structure and selection sorting. We uncover positive sorting for single men and negative sorting for married women that accounts for a substantial fraction of the gender wage gap at the top of the distribution. These fi ndings can be interpreted as evidence of assortative matching in the marriage market and glass-ceiling in the labor market.en_US
dc.description.urihttps://arxiv.org/abs/1811.11603
dc.languageEnglish
dc.language.isoen_US
dc.publisherCentre for Microdata Methods and Practice (cemmap), Londonen_US
dc.relation.ispartofcemmap working paper
dc.subjectSample selectionen_US
dc.subjectDistribution regressionen_US
dc.subjectQuantileen_US
dc.subjectHeterogeneityen_US
dc.subjectUniform inferenceen_US
dc.subjectGender wage gapen_US
dc.subjectAssortative matchingen_US
dc.subjectGlass ceilingen_US
dc.titleDistribution regression with sample selection, with an application to wage decompositions in the UKen_US
dc.typeArticleen_US
dc.description.versionAccepted manuscripten_US
pubs.elements-sourcemanual-entryen_US
pubs.notesEmbargo: Not knownen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Arts & Sciencesen_US
pubs.organisational-groupBoston University, College of Arts & Sciences, Department of Economicsen_US
pubs.publication-statusPublisheden_US
dc.date.online2018-11-28
dc.identifier.mycv419370


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