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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Year of publication:	2000-01-31
Authors:	Lewbel, Arthur
Institutions:	Department of Economics, Boston College
Subject:	binary choice \| misclassification \| measurement error \| semiparametric \| latent variable

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Extent:	application/pdf
Series:	Boston College Working Papers in Economics.
Type of publication:	Book / Working Paper
Notes:	published, Econometric Theory, 2000, 16, 603-609 The text is part of a series Boston College Working Papers in Economics Number 457 8 pages
Classification:	C14 - Semiparametric and Nonparametric Methods ; C25 - Discrete Regression and Qualitative Choice Models ; C13 - Estimation
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005074078