Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality

DOI10.1016/j.jeconom.2009.01.011zbMath1429.62654OpenAlexW2887175616WikidataQ61826226 ScholiaQ61826226MaRDI QIDQ302115

Pedro Carneiro, Sokbae Lee

Publication date: 4 July 2016

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jeconom.2009.01.011

zbMATH Keywords

semiparametric estimationwage inequalitycomparative advantagecomposition effectslocal instrumental variablesmarginal treatment effect

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric estimation (62G05)

Related Items (13)

Heterogeneous treatment effects: instrumental variables without monotonicity? ⋮ Rationalization and identification of binary games with correlated types ⋮ Counterfactual distributions of wages via quantile regression with endogeneity ⋮ Treatment effect models with strategic interaction in treatment decisions ⋮ Some identification results in a correlated random coefficients sample selection model ⋮ Some recent developments in modeling quantile treatment effects ⋮ Estimation and inference for policy relevant treatment effects ⋮ Identifying marginal treatment effects in the presence of sample selection ⋮ Identification and estimation of triangular models with a binary treatment ⋮ Endogeneity in weakly separable models without monotonicity ⋮ Partial identification of functionals of the joint distribution of ``potential outcomes ⋮ A closed-form estimator for quantile treatment effects with endogeneity ⋮ Local average and quantile treatment effects under endogeneity: a review

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