Comparison of Weights in Simultaneous Probit Regressions in a Model for Labor Participation Estimation

Estimations of labor participation, based on samples of complex design, generally do not discuss the use of weights; implicitly considering that the data came from a simple random sampling. This paper studies the effects of the application of three weighing alternatives : i) not to weigh ii) to assi...

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Autores principales: Herrero, Verónica, Bocco, Monica
Formato: Artículo revista
Lenguaje:Español
Publicado: Instituto de Economía y Finanzas. Facultad de Ciencias Económicas. Universidada Nacional de Córdoba. 2007
Materias:
C13
C35
C52
J21
J22
Acceso en línea:https://revistas.unc.edu.ar/index.php/REyE/article/view/3841
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spelling I10-R326-article-38412022-05-18T21:57:33Z Comparison of Weights in Simultaneous Probit Regressions in a Model for Labor Participation Estimation Comparación de Ponderaciones en Regresiones Probit Simultáneas en un Modelo para la Estimación de la Participación Laboral Herrero, Verónica Bocco, Monica regresión con muestras complejas probit simultáneos efectos de diseño participación laboral colectiva C13 C35 C52 J21 J22 regression with complex samples simultaneous probit equations design effects collective labor participation C13 C35 C52 J21 J22 Estimations of labor participation, based on samples of complex design, generally do not discuss the use of weights; implicitly considering that the data came from a simple random sampling. This paper studies the effects of the application of three weighing alternatives : i) not to weigh ii) to assign weights which are proportional to agglomerate size iii) to select a sub-sample which allow self-representation. The application is carried out for a wave of the Permanent Household Survey (Encuesta Permanente de Hogares - EPH) on a model of simultaneous probit equations. The evaluation of the estimates obtained suggests that not to weigh produces no significant biases and represents an antecedent to the empirical estimates with nonlinear models for a system of equations with limited dependent variables. En estimaciones de participación laboral, basadas en muestras de diseño complejo, generalmente no se discute el uso de ponderadores. Se considera implícitamente que los datos surgieron de un muestreo aleatorio simple. Este trabajo estudia los efectos de aplicar tres alternativas de ponderación: i) no ponderar; ii) asignar pesos proporcionales al tamaño del aglomerado; iii) seleccionar una sub-muestra que permita una auto-representación. La aplicación se realiza para una onda de la Encuesta Permanente de Hogares en un modelo de ecuaciones probit simultáneas.La evaluación de las estimaciones obtenidas permite concluir que no ponderar no produce sesgos relevantes y se constituye en un antecedente empírico para estimaciones con modelos no lineales para un sistema de ecuaciones con variables dependientes limitadas.   Instituto de Economía y Finanzas. Facultad de Ciencias Económicas. Universidada Nacional de Córdoba. 2007-12-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unc.edu.ar/index.php/REyE/article/view/3841 10.55444/2451.7321.2007.v45.n2.3841 Revista de Economía y Estadística; Vol. 45 No. 2 (2007); 95-124 Revista de Economía y Estadística; Vol. 45 Núm. 2 (2007); 95-124 2451-7321 0034-8066 10.55444/2451.7321.2007.v45.n2 spa https://revistas.unc.edu.ar/index.php/REyE/article/view/3841/6779 Derechos de autor 2007 Verónica Herrero, Monica Bocco http://creativecommons.org/licenses/by-nc-nd/4.0
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-326
container_title_str Revista de Economía y Estadística
language Español
format Artículo revista
topic regresión con muestras complejas
probit simultáneos
efectos de diseño
participación laboral colectiva
C13
C35
C52
J21
J22
regression with complex samples
simultaneous probit equations
design effects
collective labor participation
C13
C35
C52
J21
J22
spellingShingle regresión con muestras complejas
probit simultáneos
efectos de diseño
participación laboral colectiva
C13
C35
C52
J21
J22
regression with complex samples
simultaneous probit equations
design effects
collective labor participation
C13
C35
C52
J21
J22
Herrero, Verónica
Bocco, Monica
Comparison of Weights in Simultaneous Probit Regressions in a Model for Labor Participation Estimation
topic_facet regresión con muestras complejas
probit simultáneos
efectos de diseño
participación laboral colectiva
C13
C35
C52
J21
J22
regression with complex samples
simultaneous probit equations
design effects
collective labor participation
C13
C35
C52
J21
J22
author Herrero, Verónica
Bocco, Monica
author_facet Herrero, Verónica
Bocco, Monica
author_sort Herrero, Verónica
title Comparison of Weights in Simultaneous Probit Regressions in a Model for Labor Participation Estimation
title_short Comparison of Weights in Simultaneous Probit Regressions in a Model for Labor Participation Estimation
title_full Comparison of Weights in Simultaneous Probit Regressions in a Model for Labor Participation Estimation
title_fullStr Comparison of Weights in Simultaneous Probit Regressions in a Model for Labor Participation Estimation
title_full_unstemmed Comparison of Weights in Simultaneous Probit Regressions in a Model for Labor Participation Estimation
title_sort comparison of weights in simultaneous probit regressions in a model for labor participation estimation
description Estimations of labor participation, based on samples of complex design, generally do not discuss the use of weights; implicitly considering that the data came from a simple random sampling. This paper studies the effects of the application of three weighing alternatives : i) not to weigh ii) to assign weights which are proportional to agglomerate size iii) to select a sub-sample which allow self-representation. The application is carried out for a wave of the Permanent Household Survey (Encuesta Permanente de Hogares - EPH) on a model of simultaneous probit equations. The evaluation of the estimates obtained suggests that not to weigh produces no significant biases and represents an antecedent to the empirical estimates with nonlinear models for a system of equations with limited dependent variables.
publisher Instituto de Economía y Finanzas. Facultad de Ciencias Económicas. Universidada Nacional de Córdoba.
publishDate 2007
url https://revistas.unc.edu.ar/index.php/REyE/article/view/3841
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last_indexed 2024-09-03T20:54:47Z
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