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- Regression with a Misclassified Binary Regressor🔍
- Identifying the Effect of a Mis|classified🔍
- Identification of Regression Models with a Misclassified and ...🔍
- Identifying the effect of a mis|classified🔍
- Lecture Notes on Measurement Error🔍
- Identification and Estimation of Regression Models with ...🔍
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Correcting for Misclassified Binary Regressors Using Instrumental ...
Correcting for Misclassified Binary Regressors Using Instrumental ...
Correcting for Misclassified Binary Regressors Using Instrumental Variables. Steven J. Haider & Melvin Stephens Jr. ... Estimators that exploit an ...
Abstract. Estimators that exploit an instrumental variable to correct for misclassification in a binary regressor typically assume that the ...
Correcting for Misclassified Binary Regressors Using Instrumental ...
Estimators that exploit an instrumental variable to correct for misclassification in a binary regressor typically assume that the misclassification rates are ...
Correcting for Misclassified Binary Regressors Using Instrumental ...
Estimators that exploit an instrumental variable to correct for misclassification in a binary regressor typically assume that the misclassification rates ...
Correcting for Misclassified Binary Regressors Using Instrumental ...
Estimators that exploit an instrumental variable to correct for misclassification in a binary regressor typically assume that the misclassification rates are ...
Correcting for Misclassified Binary Regressors Using Instrumental ...
Correcting for Misclassified Binary Regressors Using Instrumental Variables ... To read the full-text of this research, you can request a copy directly from the ...
Correcting for Misclassified Binary Regressors Using Instrumental ...
Hu Y. (2008) “Identification and Estimation of Nonlinear Models with Misclassification Error Using Instrumental Variables: A General Solution ” Journal of ...
More recently, Nguimkeu, Denteh & Tchernis (2019) analyzed the bias in both ordinary least squares (OLS) and instrumental variable (IV) estimators when the.
More recently, Nguimkeu, Denteh & Tchernis (2019) analyzed the bias in both ordinary least squares (OLS) and instrumental variable (IV) estimators when the.
NBER on X: "Correcting for Misclassified Binary Regressors Using ...
Correcting for Misclassified Binary Regressors Using Instrumental Variables, Steven J. Haider and Melvin Stephens Jr.
Identifying the Effect of a Mis-classified, Binary, Endogenous ...
... binary, endogenous regressor in an additively separable model using a discrete instrumental variable. ... Binary misclassification and identification in ...
Identification of Regression Models with a Misclassified and ... - arXiv
The instrumental variable corrects endogeneity; the instrumental variable must be correlated with the unobserved true underlying binary ...
Correcting for Misclassified Binary Regressors Using Instrumental ...
Correcting for Misclassified Binary Regressors Using Instrumental Variables. Steven J. Haider. Melvin Stephens. SID: rRzombkA. DOI: 10.1080/07350015.2024 ...
Identifying the effect of a mis-classified, binary, endogenous regressor
Conveniently, a valid instrumental variable corrects for both problems when the measurement error is classical, i.e. uncorrelated with the true value of the ...
Lecture Notes on Measurement Error
Moreover, OLS using the group average will yield correct standard errors. These will be larger, of course, than in the case where the micro level regressor xit ...
Identification and Estimation of Regression Models with ...
models with a misclassified binary regressor where the measurement error may be correlated with the regressors. We show that the regression function is non ...
why linear instrumental variable estimation methods can not correct for the bias generated by misclassification. Any instrument variable Z that is correlated ...
Binary Misclassification and Identification in Regression Models By
We study a regression model with a binary explanatory variable that is subject to misclassification errors. The regression coefficient is then only partially ...
Misclassification in Binary Choice Models
Abstract: While measurement error in the dependent variable of a regression model does not lead to bias in some cases, with a binary ...
Identification of Regression Models with a Misclassified and
The instrumental variable corrects endogeneity; the instrumental variable must be correlated with the unobserved true underlying binary variable, must be ...