Identification of the Binary Choice Model with Misclassification
Misclassification in binary choice (binomial response) models occurs when the dependent variable is measured with error, that is, when an actual "one" response is sometimes recorded as a zero, and vice versa. This paper shows that binary choice models with misclassification are semiparametrically identified, even when the probabilities of misclassification depend in unknown ways on model covariates, and the distribution of the errors is unknown.
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| Length: | 8 pages |
| Date of creation: | 31 Jan 2000 |
| Date of revision: | |
| Publication status: | published, Econometric Theory, 2000, 16, 603-609 |
| Handle: | RePEc:boc:bocoec:457 |
| Contact details of provider: | Postal: Phone: 617-552-3670 Fax: +1-617-552-2308 Web page: http://fmwww.bc.edu/EC/Email: More information through EDIRC
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- repec:cup:etheor:v:11:y:1995:i:3:p:560-96 is not listed on IDEAS
- Andrews, Donald W.K., 1995. "Nonparametric Kernel Estimation for Semiparametric Models," Econometric Theory, Cambridge University Press, vol. 11(03), pages 560-586, June.
- Brown, James N & Light, Audrey, 1992. "Interpreting Panel Data on Job Tenure," Journal of Labor Economics, University of Chicago Press, vol. 10(3), pages 219-57, July.
- Hausman, J. A. & Abrevaya, Jason & Scott-Morton, F. M., 1998. "Misclassification of the dependent variable in a discrete-response setting," Journal of Econometrics, Elsevier, vol. 87(2), pages 239-269, September.
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