Level-based estimation of dynamic panel models
- Autores
- Montes Rojas, Gabriel Victorio; Sosa Escudero, Walter; Zincenko, Federico
- Año de publicación
- 2011
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This paper develops an alternative estimator for linear dynamic panel data models based on parameterizing the covariances between covariates and unobserved time-invariant effects. A GMM framework is used to derive an optimal estimator based on moment conditions in levels, with no efficiency loss compared to the classic alternatives like Arellano and Bond (1991) and Ahn and Schmidt (1995, 1997). Still, we show analytically and by Monte Carlo simulations that the new procedure leads to efficiency improvements for certain data generating processes. The framework also leads to a very simple test for unobserved effects.
Fil: Montes Rojas, Gabriel Victorio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; Argentina
Fil: Sosa Escudero, Walter. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Zincenko, Federico. University of Pittsburgh; Estados Unidos - Materia
-
ASYMPTOTIC EFFICIENCY
DYNAMIC PANEL
GMM ESTIMATION
INDIVIDUAL EFFECTS
SHORT PANEL - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/123269
Ver los metadatos del registro completo
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CONICET Digital (CONICET) |
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Level-based estimation of dynamic panel modelsMontes Rojas, Gabriel VictorioSosa Escudero, WalterZincenko, FedericoASYMPTOTIC EFFICIENCYDYNAMIC PANELGMM ESTIMATIONINDIVIDUAL EFFECTSSHORT PANELhttps://purl.org/becyt/ford/5.2https://purl.org/becyt/ford/5This paper develops an alternative estimator for linear dynamic panel data models based on parameterizing the covariances between covariates and unobserved time-invariant effects. A GMM framework is used to derive an optimal estimator based on moment conditions in levels, with no efficiency loss compared to the classic alternatives like Arellano and Bond (1991) and Ahn and Schmidt (1995, 1997). Still, we show analytically and by Monte Carlo simulations that the new procedure leads to efficiency improvements for certain data generating processes. The framework also leads to a very simple test for unobserved effects.Fil: Montes Rojas, Gabriel Victorio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; ArgentinaFil: Sosa Escudero, Walter. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Zincenko, Federico. University of Pittsburgh; Estados UnidosDe Gruyter2011-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/123269Montes Rojas, Gabriel Victorio; Sosa Escudero, Walter; Zincenko, Federico; Level-based estimation of dynamic panel models; De Gruyter; Journal of Econometric Methods; 9; 1; 1-6-2011; 1-402194-63452156-6674CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1515/jem-2018-0015info:eu-repo/semantics/altIdentifier/url/https://www.degruyter.com/view/journals/jem/9/1/article-20180015.xmlinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:03:59Zoai:ri.conicet.gov.ar:11336/123269instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:03:59.893CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Level-based estimation of dynamic panel models |
title |
Level-based estimation of dynamic panel models |
spellingShingle |
Level-based estimation of dynamic panel models Montes Rojas, Gabriel Victorio ASYMPTOTIC EFFICIENCY DYNAMIC PANEL GMM ESTIMATION INDIVIDUAL EFFECTS SHORT PANEL |
title_short |
Level-based estimation of dynamic panel models |
title_full |
Level-based estimation of dynamic panel models |
title_fullStr |
Level-based estimation of dynamic panel models |
title_full_unstemmed |
Level-based estimation of dynamic panel models |
title_sort |
Level-based estimation of dynamic panel models |
dc.creator.none.fl_str_mv |
Montes Rojas, Gabriel Victorio Sosa Escudero, Walter Zincenko, Federico |
author |
Montes Rojas, Gabriel Victorio |
author_facet |
Montes Rojas, Gabriel Victorio Sosa Escudero, Walter Zincenko, Federico |
author_role |
author |
author2 |
Sosa Escudero, Walter Zincenko, Federico |
author2_role |
author author |
dc.subject.none.fl_str_mv |
ASYMPTOTIC EFFICIENCY DYNAMIC PANEL GMM ESTIMATION INDIVIDUAL EFFECTS SHORT PANEL |
topic |
ASYMPTOTIC EFFICIENCY DYNAMIC PANEL GMM ESTIMATION INDIVIDUAL EFFECTS SHORT PANEL |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/5.2 https://purl.org/becyt/ford/5 |
dc.description.none.fl_txt_mv |
This paper develops an alternative estimator for linear dynamic panel data models based on parameterizing the covariances between covariates and unobserved time-invariant effects. A GMM framework is used to derive an optimal estimator based on moment conditions in levels, with no efficiency loss compared to the classic alternatives like Arellano and Bond (1991) and Ahn and Schmidt (1995, 1997). Still, we show analytically and by Monte Carlo simulations that the new procedure leads to efficiency improvements for certain data generating processes. The framework also leads to a very simple test for unobserved effects. Fil: Montes Rojas, Gabriel Victorio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; Argentina Fil: Sosa Escudero, Walter. Universidad de San Andrés; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Zincenko, Federico. University of Pittsburgh; Estados Unidos |
description |
This paper develops an alternative estimator for linear dynamic panel data models based on parameterizing the covariances between covariates and unobserved time-invariant effects. A GMM framework is used to derive an optimal estimator based on moment conditions in levels, with no efficiency loss compared to the classic alternatives like Arellano and Bond (1991) and Ahn and Schmidt (1995, 1997). Still, we show analytically and by Monte Carlo simulations that the new procedure leads to efficiency improvements for certain data generating processes. The framework also leads to a very simple test for unobserved effects. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-06-01 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/123269 Montes Rojas, Gabriel Victorio; Sosa Escudero, Walter; Zincenko, Federico; Level-based estimation of dynamic panel models; De Gruyter; Journal of Econometric Methods; 9; 1; 1-6-2011; 1-40 2194-6345 2156-6674 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/123269 |
identifier_str_mv |
Montes Rojas, Gabriel Victorio; Sosa Escudero, Walter; Zincenko, Federico; Level-based estimation of dynamic panel models; De Gruyter; Journal of Econometric Methods; 9; 1; 1-6-2011; 1-40 2194-6345 2156-6674 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1515/jem-2018-0015 info:eu-repo/semantics/altIdentifier/url/https://www.degruyter.com/view/journals/jem/9/1/article-20180015.xml |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
De Gruyter |
publisher.none.fl_str_mv |
De Gruyter |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1842269831088308224 |
score |
13.13397 |