On the robustness of the corrected least squares (cols) estimator for the tobit model

dc.creatorStengos, Thanasis
dc.date1987-11-02
dc.date.accessioned2022-11-03T21:18:48Z
dc.date.available2022-11-03T21:18:48Z
dc.identifierhttps://bibliotecadigital.fgv.br/ojs/index.php/bre/article/view/3100
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5047915
dc.descriptionWe provide an alternative derivation for the simple moment estimator first developed by Greene. Our derivation is based on a Taylor series approximation to the population regression function. Our sampling experiments suggest that this estimator, although in general inconsistent is quite well-behaved and robust to different distributional assumptions regarding the exogenous variables, provided that the latter have not been generated from highly skewed distributions.en-US
dc.descriptionWe provide an alternative derivation for the simple moment estimator first developed by Greene. Our derivation is based on a Taylor series approximation to the population regression function. Our sampling experiments suggest that this estimator, although in general inconsistent is quite well-behaved and robust to different distributional assumptions regarding the exogenous variables, provided that the latter have not been generated from highly skewed distributions.pt-BR
dc.formatapplication/pdf
dc.languageeng
dc.publisherSociedade Brasileira de Econometriaen-US
dc.relationhttps://bibliotecadigital.fgv.br/ojs/index.php/bre/article/view/3100/1993
dc.sourceBrazilian Review of Econometrics; Vol. 7 No. 2 (1987); 73–88en-US
dc.sourceBrazilian Review of Econometrics; v. 7 n. 2 (1987); 73–88pt-BR
dc.source1980-2447
dc.titleOn the robustness of the corrected least squares (cols) estimator for the tobit modelen-US
dc.titleOn the robustness of the corrected least squares (cols) estimator for the tobit modelpt-BR
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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