A binary choice model with sample selection and covariate-related misclassification

González Chapela, Jorge

Resumen: Misclassification of a binary response variable and nonrandom sample selection are data issues frequently encountered by empirical researchers. For cases in which both issues feature simultaneously in a data set, we formulate a sample selection model for a misclassified binary outcome in which the conditional probabilities of misclassification are allowed to depend on covariates. Assuming the availability of validation data, the pseudo-maximum likelihood technique can be used to estimate the model. The performance of the estimator accounting for misclassification and sample selection is compared to that of estimators offering partial corrections. An empirical example illustrates the proposed framework.

Idioma: Inglés

DOI: 10.3390/econometrics10020013

Año: 2022

Publicado en: Econometrics 10, 2 (2022), 13 [20 pp.]
ISSN: 2225-1146

Factor impacto CITESCORE: 2.0 - Economics, Econometrics and Finance (Q2)

Factor impacto SCIMAGO: 0.464 - Economics and Econometrics (Q2)

Financiación: info:eu-repo/grantAgreement/ES/DGA/S32-20R

Tipo y forma: Artículo (Versión definitiva)