Arbeitspapier
A comparison of two qantile models with endogeneity
This paper analyzes estimators based on the instrumental variable quantile regression (IVQR) model (Chernozhukov and Hansen, 2004, 2005, 2006) under the local quantile treatment effects (LQTE) framework (Abadie et al., 2002). I show that the quantile treatment effect (QTE) estimators in the IVQR model are equivalent to LQTE for the compliers at transformed quantile levels. This transformation adjusts for differences between the subpopulation-specific potential outcome distributions that are identified in the LQTE model. Moreover, the IVQR estimator of the average treatment effect (ATE) corresponds to a convex combination of the local average treatment effect (LATE) and a weighted average of LQTE for the compliers. I extend the analysis to more general setups that allow for partial failures of the LQTE assumptions, non-binary instruments, and covariates. The results are illustrated with two empirical applications.
- Sprache
-
Englisch
- Erschienen in
-
Series: Discussion Papers ; No. 14-08
Semiparametric and Nonparametric Methods: General
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Single Equation Models: Single Variables: Instrumental Variables (IV) Estimation
instrumental variables
quantile treatment effect
local quantile treatment effect
average treatment effect
local average treatment effect
rank similarity
- Handle
- Letzte Aktualisierung
-
20.09.2024, 08:24 MESZ
Objekttyp
- Arbeitspapier
Beteiligte
- Wüthrich, Kaspar
- University of Bern, Department of Economics
Entstanden
- 2014
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