000170157 001__ 170157
000170157 005__ 20260407115448.0
000170157 0247_ $$2doi$$a10.3390/econometrics10020013
000170157 0248_ $$2sideral$$a133496
000170157 037__ $$aART-2022-133496
000170157 041__ $$aeng
000170157 100__ $$0(orcid)0000-0003-3550-6370$$aGonzález Chapela, Jorge
000170157 245__ $$aA binary choice model with sample selection and covariate-related misclassification
000170157 260__ $$c2022
000170157 5060_ $$aAccess copy available to the general public$$fUnrestricted
000170157 5203_ $$aMisclassification of a binary response variable and nonrandom sample selection are data issues frequently encountered by empirical researchers. For cases in which both issues feature simultaneously in a data set, we formulate a sample selection model for a misclassified binary outcome in which the conditional probabilities of misclassification are allowed to depend on covariates. Assuming the availability of validation data, the pseudo-maximum likelihood technique can be used to estimate the model. The performance of the estimator accounting for misclassification and sample selection is compared to that of estimators offering partial corrections. An empirical example illustrates the proposed framework.
000170157 536__ $$9info:eu-repo/grantAgreement/ES/DGA/S32-20R
000170157 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000170157 592__ $$a0.464$$b2022
000170157 593__ $$aEconomics and Econometrics$$c2022$$dQ2
000170157 594__ $$a2.0$$b2022
000170157 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000170157 773__ $$g10, 2 (2022), 13 [20 pp.]$$pEconometrics$$tEconometrics$$x2225-1146
000170157 8564_ $$s376042$$uhttps://zaguan.unizar.es/record/170157/files/texto_completo.pdf$$yVersión publicada
000170157 8564_ $$s2787815$$uhttps://zaguan.unizar.es/record/170157/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000170157 909CO $$ooai:zaguan.unizar.es:170157$$particulos$$pdriver
000170157 951__ $$a2026-03-26-14:30:42
000170157 980__ $$aARTICLE