Using Instrumental Variables for Inference About Policy Relevant Treatment Parameters
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Publication:4644800
DOI10.3982/ECTA15463zbMath1408.62128WikidataQ128971468 ScholiaQ128971468MaRDI QIDQ4644800
Alexander Torgovitsky, Andres Santos, Magne Mogstad
Publication date: 9 January 2019
Published in: Econometrica (Search for Journal in Brave)
MTEextrapolationinstrumental variablestreatment effectspartial identificationnonparametric boundsLATEmarginal treatment effectlocal average treatment effect
Applications of statistics to economics (62P20) Linear regression; mixed models (62J05) Nonparametric estimation (62G05)
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Treatment effect models with strategic interaction in treatment decisions ⋮ Partial identification in nonseparable binary response models with endogenous regressors ⋮ Identifying the effects of a program offer with an application to head start ⋮ Identifying marginal treatment effects in the presence of sample selection ⋮ Identification and estimation of triangular models with a binary treatment ⋮ Bounding program benefits when participation is misreported ⋮ Endogeneity in weakly separable models without monotonicity ⋮ Sharp bounds in the latent index selection model ⋮ A computational approach to identification of treatment effects for policy evaluation ⋮ Partial identification by extending subdistributions ⋮ The identification region of the potential outcome distributions under instrument independence ⋮ On the structure of IV estimands ⋮ Local average and quantile treatment effects under endogeneity: a review
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