On the estimation of treatment effects with endogenous misreporting

DOI10.1016/j.jeconom.2018.10.005zbMath1452.62952OpenAlexW3125897357MaRDI QIDQ1739873

Rusty Tchernis, Augustine Denteh, Pierre Nguimkeu

Publication date: 29 April 2019

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

Full work available at URL: http://www.nber.org/papers/w24117.pdf

zbMATH Keywords

endogeneitybiaspartial observabilitytreatment effectmisclassificationbinary regressor

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05) Nonparametric estimation (62G05)

Related Items (3)

IDENTIFICATION OF REGRESSION MODELS WITH A MISCLASSIFIED AND ENDOGENOUS BINARY REGRESSOR ⋮ What leads to measurement errors? Evidence from reports of program participation in three surveys ⋮ INSTRUMENTAL VARIABLE QUANTILE REGRESSION WITH MISCLASSIFICATION

Cites Work

• Unnamed Item
• Semi-Nonparametric Maximum Likelihood Estimation
• Binary misclassification and identification in regression models
• A note on the closed-form identification of regression models with a mismeasured binary regressor
• Bounding mean regressions when a binary regressor is mismeasured
• Partial observability in bivariate probit models
• A matrix extension of the Cauchy-Schwarz inequality
• Misclassification of the dependent variable in a discrete-response setting
• Estimating linear regressions with mismeasured, possibly endogenous, binary explanatory variables
• Identification in nonseparable models with measurement errors and endogeneity
• Regression with a binary independent variable subject to errors of observation
• Nonparametric identification of regression models containing a misclassified dichotomous regressor without instruments
• Bayesian moment-based inference in a regression model with misclassification error
• Bivariate Logistic Distributions
• The Elephant in the Corner: A Cautionary Tale about Measurement Error in Treatment Effects Models
• Identification and Estimation of Regression Models with Misclassification
• Heterogeneous treatment effects with mismeasured endogenous treatment
• Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported
• Identification and estimation of single-index models with measurement error and endogeneity
• Estimation of Average Treatment Effects with Misclassification
• Identification in Parametric Models

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