Modified maximum likelihood estimation of tobit models with fixed effects: theory and an application to earnings equations

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Main Author: Gabriel Jiménez Zambrano
Format: Artículo científico
Language:en
Published: Fundación SEPI 2005
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author Gabriel Jiménez Zambrano
author_facet Gabriel Jiménez Zambrano
contents Modified maximum likelihood estimation of tobit models with fixed effects: theory and an application to earnings equations Gabriel Jiménez Zambrano Economía y Finanzas panel data tobit model Orthogonal parameters modified profile likelihood This paper starts from the orthogonalization method proposed by Cox and Reidwhich is applied to the Tobit model panel for data with fixed e��ects. Neymanand Scott showed that, generally, the maximum likelihood estimator is inconsistent(the incidental parameter problem). The methodology explained hererecovers the use of the log-likelihood function to solve this problem taking advantageof the time-series dimension of panel data. For the Tobit model weshow when is it possible to recover the orthogonal parameters, and study thecharacteristics of the estimators obtained with simulation methods. Also, anillustration for earnings equations has been performed. 2005 artículo científico 0210-1521 https://www.redalyc.org/articulo.oa?id=17329305 en http://www.redalyc.org/revista.oa?id=173 Investigaciones Económicas application/pdf Fundación SEPI Investigaciones Económicas (España) Num.3 Vol.XXIX
format Artículo científico
id redalyc_17329305
institution Redalyc
language en
publishDate 2005
publisher Fundación SEPI
spellingShingle Modified maximum likelihood estimation of tobit models with fixed effects: theory and an application to earnings equations
Gabriel Jiménez Zambrano
Economía y Finanzas
panel data
tobit model
Orthogonal parameters
modified profile likelihood
Modified maximum likelihood estimation of tobit models with fixed effects: theory and an application to earnings equations Gabriel Jiménez Zambrano Economía y Finanzas panel data tobit model Orthogonal parameters modified profile likelihood This paper starts from the orthogonalization method proposed by Cox and Reidwhich is applied to the Tobit model panel for data with fixed e��ects. Neymanand Scott showed that, generally, the maximum likelihood estimator is inconsistent(the incidental parameter problem). The methodology explained hererecovers the use of the log-likelihood function to solve this problem taking advantageof the time-series dimension of panel data. For the Tobit model weshow when is it possible to recover the orthogonal parameters, and study thecharacteristics of the estimators obtained with simulation methods. Also, anillustration for earnings equations has been performed. 2005 artículo científico 0210-1521 https://www.redalyc.org/articulo.oa?id=17329305 en http://www.redalyc.org/revista.oa?id=173 Investigaciones Económicas application/pdf Fundación SEPI Investigaciones Económicas (España) Num.3 Vol.XXIX
title Modified maximum likelihood estimation of tobit models with fixed effects: theory and an application to earnings equations
topic Economía y Finanzas
panel data
tobit model
Orthogonal parameters
modified profile likelihood
url https://www.redalyc.org/articulo.oa?id=17329305