Testing for skewness and kurtosis in the one-way error components model
- Autores
- Galvao, Antonio F.; Montes Rojas, Gabriel Victorio; Sosa Escudero, Walter; Wang, Liang
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This paper derives tests for skewness and kurtosis for the panel data one-way error component model. The test statistics are based on the between and within transformations of the pooled OLS residuals, and are derived in a moment conditions framework. We establish the limiting distribution of the test statistics for panels with large cross-section and fixed time-series dimension. The tests are implemented in practice using the bootstrap. The proposed methods are able to detect departures away from normality in the form of skewness and kurtosis, and to identify whether these occur at the individual, remainder, or both error components. The finite sample properties of the tests are studied through extensive Monte Carlo simulations, and the results show evidence of good finite sample performance.
Fil: Galvao, Antonio F.. University of Iowa; Estados Unidos
Fil: Montes Rojas, Gabriel Victorio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; Argentina
Fil: Sosa Escudero, Walter. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; Argentina
Fil: Wang, Liang. University of Wisconsin; Estados Unidos - Materia
-
ERROR COMPONENTS
KURTOSIS
NORMALITY
PANEL DATA
SKEWNESS - 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:11336/88210
Ver los metadatos del registro completo
id |
CONICETDig_189bd832842fb6af5ddd42718eb50f13 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/88210 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Testing for skewness and kurtosis in the one-way error components modelGalvao, Antonio F.Montes Rojas, Gabriel VictorioSosa Escudero, WalterWang, LiangERROR COMPONENTSKURTOSISNORMALITYPANEL DATASKEWNESShttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1This paper derives tests for skewness and kurtosis for the panel data one-way error component model. The test statistics are based on the between and within transformations of the pooled OLS residuals, and are derived in a moment conditions framework. We establish the limiting distribution of the test statistics for panels with large cross-section and fixed time-series dimension. The tests are implemented in practice using the bootstrap. The proposed methods are able to detect departures away from normality in the form of skewness and kurtosis, and to identify whether these occur at the individual, remainder, or both error components. The finite sample properties of the tests are studied through extensive Monte Carlo simulations, and the results show evidence of good finite sample performance.Fil: Galvao, Antonio F.. University of Iowa; Estados UnidosFil: Montes Rojas, Gabriel Victorio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; ArgentinaFil: Sosa Escudero, Walter. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; ArgentinaFil: Wang, Liang. University of Wisconsin; Estados UnidosElsevier Inc2013-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/88210Galvao, Antonio F.; Montes Rojas, Gabriel Victorio; Sosa Escudero, Walter; Wang, Liang; Testing for skewness and kurtosis in the one-way error components model; Elsevier Inc; Journal Of Multivariate Analysis; 122; 11-2013; 35-520047-259XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0047259X13001346info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jmva.2013.07.002info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:11:25Zoai:ri.conicet.gov.ar:11336/88210instacron: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 10:11:26.044CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Testing for skewness and kurtosis in the one-way error components model |
title |
Testing for skewness and kurtosis in the one-way error components model |
spellingShingle |
Testing for skewness and kurtosis in the one-way error components model Galvao, Antonio F. ERROR COMPONENTS KURTOSIS NORMALITY PANEL DATA SKEWNESS |
title_short |
Testing for skewness and kurtosis in the one-way error components model |
title_full |
Testing for skewness and kurtosis in the one-way error components model |
title_fullStr |
Testing for skewness and kurtosis in the one-way error components model |
title_full_unstemmed |
Testing for skewness and kurtosis in the one-way error components model |
title_sort |
Testing for skewness and kurtosis in the one-way error components model |
dc.creator.none.fl_str_mv |
Galvao, Antonio F. Montes Rojas, Gabriel Victorio Sosa Escudero, Walter Wang, Liang |
author |
Galvao, Antonio F. |
author_facet |
Galvao, Antonio F. Montes Rojas, Gabriel Victorio Sosa Escudero, Walter Wang, Liang |
author_role |
author |
author2 |
Montes Rojas, Gabriel Victorio Sosa Escudero, Walter Wang, Liang |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
ERROR COMPONENTS KURTOSIS NORMALITY PANEL DATA SKEWNESS |
topic |
ERROR COMPONENTS KURTOSIS NORMALITY PANEL DATA SKEWNESS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.1 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
This paper derives tests for skewness and kurtosis for the panel data one-way error component model. The test statistics are based on the between and within transformations of the pooled OLS residuals, and are derived in a moment conditions framework. We establish the limiting distribution of the test statistics for panels with large cross-section and fixed time-series dimension. The tests are implemented in practice using the bootstrap. The proposed methods are able to detect departures away from normality in the form of skewness and kurtosis, and to identify whether these occur at the individual, remainder, or both error components. The finite sample properties of the tests are studied through extensive Monte Carlo simulations, and the results show evidence of good finite sample performance. Fil: Galvao, Antonio F.. University of Iowa; Estados Unidos Fil: Montes Rojas, Gabriel Victorio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; Argentina Fil: Sosa Escudero, Walter. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés; Argentina Fil: Wang, Liang. University of Wisconsin; Estados Unidos |
description |
This paper derives tests for skewness and kurtosis for the panel data one-way error component model. The test statistics are based on the between and within transformations of the pooled OLS residuals, and are derived in a moment conditions framework. We establish the limiting distribution of the test statistics for panels with large cross-section and fixed time-series dimension. The tests are implemented in practice using the bootstrap. The proposed methods are able to detect departures away from normality in the form of skewness and kurtosis, and to identify whether these occur at the individual, remainder, or both error components. The finite sample properties of the tests are studied through extensive Monte Carlo simulations, and the results show evidence of good finite sample performance. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-11 |
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/11336/88210 Galvao, Antonio F.; Montes Rojas, Gabriel Victorio; Sosa Escudero, Walter; Wang, Liang; Testing for skewness and kurtosis in the one-way error components model; Elsevier Inc; Journal Of Multivariate Analysis; 122; 11-2013; 35-52 0047-259X CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/88210 |
identifier_str_mv |
Galvao, Antonio F.; Montes Rojas, Gabriel Victorio; Sosa Escudero, Walter; Wang, Liang; Testing for skewness and kurtosis in the one-way error components model; Elsevier Inc; Journal Of Multivariate Analysis; 122; 11-2013; 35-52 0047-259X CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0047259X13001346 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jmva.2013.07.002 |
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 application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Inc |
publisher.none.fl_str_mv |
Elsevier Inc |
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 |
_version_ |
1842270157829832704 |
score |
13.13397 |