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nonparametric regression model with Berkson-type measurement error in the regressors. An estimator is proposed and proven to be …
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Economists have devoted increasing attention to the magnitude and consequences of measurement error in their data. Most … discussions of measurement error are based on the “classical” assumption that errors in measuring a particular variable are … those variables. In this survey, we focus on both the importance of measurement error in standard survey-based economic …
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Estimators that exploit an instrumental variable to correct for misclassification in a binary regressor typically assume that the misclassification rates are invariant across all values of the instrument. We show that this assumption is invalid in routine empirical settings. We derive a new...
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reviewing the sources of endogeneity—omitted variables, simultaneity, and measurement error—and their implications for inference …
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deterministic monotonicity of the true treatment in the instrument. Even allowing for general measurement error (e.g., the … measurement error is endogenous), it is still possible to obtain finite bounds on the local average treatment effect. Notably, the …
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