Inference on local average treatment effects for misclassified treatment
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Publication:5860937
DOI10.1080/07474938.2018.1485833zbMath1490.62492arXiv1804.03349OpenAlexW2594756312MaRDI QIDQ5860937
Publication date: 4 March 2022
Published in: Econometric Reviews (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1804.03349
instrumental variablenonparametric identificationcausal inferencemisclassificationnon-differential measurement error
Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08)
Related Items
IDENTIFICATION OF REGRESSION MODELS WITH A MISCLASSIFIED AND ENDOGENOUS BINARY REGRESSOR, Heterogeneous treatment effects with mismeasured endogenous treatment, Local average and quantile treatment effects under endogeneity: a review, INSTRUMENTAL VARIABLE QUANTILE REGRESSION WITH MISCLASSIFICATION
Cites Work
- Unnamed Item
- Unnamed Item
- Large Sample Properties of Generalized Method of Moments Estimators
- Identification and estimation of nonlinear models with misclassification error using instrumental variables: a general solution
- Partial identification of probability distributions with misclassified data
- Consistent estimation for some nonlinear errors-in-variables models
- Instrumental variable estimator for the nonlinear errors-in-variables model
- Bounding mean regressions when a binary regressor is mismeasured
- Identification and estimation of polynomial errors-in-variables models
- Misclassification of the dependent variable in a discrete-response setting
- Estimating linear regressions with mismeasured, possibly endogenous, binary explanatory variables
- Regression with a binary independent variable subject to errors of observation
- Closed-form estimation of nonparametric models with non-classical measurement errors
- Identification of additive and polynomial models of mismeasured regressors without instruments
- Misreported schooling, multiple measures and returns to educational qualifications
- Identification and Estimation of Regression Models with Misclassification
- Instrumental Variable Estimation of Nonlinear Errors-in-Variables Models
- Identification and Estimation of Local Average Treatment Effects
- Constructing Instruments for Regressions With Measurement Error When no Additional Data are Available, with An Application to Patents and R&D
- Semiparametric Latent Variable Model Estimation with Endogenous or Mismeasured Regressors
- Estimating nonseparable models with mismeasured endogenous variables
- Heterogeneous treatment effects with mismeasured endogenous treatment
- Identification and Robustness with Contaminated and Corrupted Data
- Two-Stage Least Squares Estimation of Average Causal Effects in Models with Variable Treatment Intensity
- Estimation of Average Treatment Effects with Misclassification
- Instrumental Variable Treatment of Nonclassical Measurement Error Models
- INSTRUMENTAL VARIABLE QUANTILE REGRESSION WITH MISCLASSIFICATION