NDLI: IDENTIFICATION OF THE BINARY CHOICE MODEL WITH MISCLASSIFICATION

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IDENTIFICATION OF THE BINARY CHOICE MODEL WITH MISCLASSIFICATION

Content Provider	Scilit
Author	Lewbel, Arthur
Copyright Year	2000
Description	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 response 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.
Related Links	http://fmwww.bc.edu/EC-P/wp457.pdf https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8FD094D628B0053032FF25DAAD2E1621/S0266466600164060a.pdf/div-class-title-identification-of-the-binary-choice-model-with-misclassification-div.pdf
Ending Page	609
Page Count	7
Starting Page	603
ISSN	02664666
e-ISSN	14694360
DOI	10.1017/s0266466600164060
Journal	Econometric Theory
Issue Number	4
Volume Number	16
Language	English
Publisher	Cambridge University Press (CUP)
Publisher Date	2000-08-01
Access Restriction	Open
Subject Keyword	Econometric Theory Mathematical Social Sciences Statistics and Probability Semiparametrically Model WITH Misclassification
Content Type	Text
Resource Type	Article
Subject	Social Sciences Economics and Econometrics

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