Nonparametric identification of regression models containing a misclassified dichotomous regressor without instruments
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.
Year of publication: |
2008
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Authors: | Chen, Xiaohong ; Hu, Yingyao ; Lewbel, Arthur |
Published in: |
Economics Letters. - Elsevier, ISSN 0165-1765. - Vol. 100.2008, 3, p. 381-384
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Publisher: |
Elsevier |
Saved in:
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