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Nonparametric identification of regression models containing a misclassified dichotomous regressor without instruments

Authors
Journal
Economics Letters
0165-1765
Publisher
Elsevier
Publication Date
Volume
100
Issue
3
Identifiers
DOI: 10.1016/j.econlet.2008.03.015
Keywords
  • Misclassification Error
  • Identification
  • Nonparametric Regression
  • C14
  • C20

Abstract

Abstract We observe a dependent variable and some regressors, including a mismeasured binary regressor. We provide identification of the nonparametric regression model containing this misclassified dichotomous regressor. We obtain identification without parameterizations or instruments, by assuming the model error isn't skewed.

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