Testing for stationarity in heterogeneous panel data in the presence of cross-section dependence

The panel variant of the KPSS tests developed by Hadri [Hadri, K., 2000, Testing for stationarity in heterogeneous panels. Econometrics Journal, 3, 148-161] for the null of stationarity suffers from size distortions in the presence of cross-section dependence. However, applying the bootstrap methodo...

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Tipo de recurso:
Fecha de publicación:
2009
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/22460
Acceso en línea:
https://doi.org/10.1080/00949650701719136
https://repository.urosario.edu.co/handle/10336/22460
Palabra clave:
Bootstrap
Cross-section dependence
Heterogeneous dynamic panels
Monte Carlo
Unit root tests
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network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling a77e4982-67ef-4241-a60f-93f241ebcd9f-1ed53a3e2-2b2c-46a6-a77d-51e23954fa8f-1792428146002020-05-25T23:56:33Z2020-05-25T23:56:33Z2009The panel variant of the KPSS tests developed by Hadri [Hadri, K., 2000, Testing for stationarity in heterogeneous panels. Econometrics Journal, 3, 148-161] for the null of stationarity suffers from size distortions in the presence of cross-section dependence. However, applying the bootstrap methodology, we find that these tests are approximately correctly sized.application/pdfhttps://doi.org/10.1080/00949650701719136949655https://repository.urosario.edu.co/handle/10336/22460eng203No. 2195Journal of Statistical Computation and SimulationVol. 79Journal of Statistical Computation and Simulation, ISSN:949655, Vol.79, No.2 (2009); pp. 195-203https://www.scopus.com/inward/record.uri?eid=2-s2.0-57349147666&doi=10.1080%2f00949650701719136&partnerID=40&md5=2e9b675338d00c1c2272013388893537Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURBootstrapCross-section dependenceHeterogeneous dynamic panelsMonte CarloUnit root testsTesting for stationarity in heterogeneous panel data in the presence of cross-section dependencearticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Giulietti, MonicaSmith, JeremyOtero Cardona, Jesús Gilberto10336/22460oai:repository.urosario.edu.co:10336/224602022-05-02 07:37:14.181903https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Testing for stationarity in heterogeneous panel data in the presence of cross-section dependence
title Testing for stationarity in heterogeneous panel data in the presence of cross-section dependence
spellingShingle Testing for stationarity in heterogeneous panel data in the presence of cross-section dependence
Bootstrap
Cross-section dependence
Heterogeneous dynamic panels
Monte Carlo
Unit root tests
title_short Testing for stationarity in heterogeneous panel data in the presence of cross-section dependence
title_full Testing for stationarity in heterogeneous panel data in the presence of cross-section dependence
title_fullStr Testing for stationarity in heterogeneous panel data in the presence of cross-section dependence
title_full_unstemmed Testing for stationarity in heterogeneous panel data in the presence of cross-section dependence
title_sort Testing for stationarity in heterogeneous panel data in the presence of cross-section dependence
dc.subject.keyword.spa.fl_str_mv Bootstrap
Cross-section dependence
Heterogeneous dynamic panels
Monte Carlo
Unit root tests
topic Bootstrap
Cross-section dependence
Heterogeneous dynamic panels
Monte Carlo
Unit root tests
description The panel variant of the KPSS tests developed by Hadri [Hadri, K., 2000, Testing for stationarity in heterogeneous panels. Econometrics Journal, 3, 148-161] for the null of stationarity suffers from size distortions in the presence of cross-section dependence. However, applying the bootstrap methodology, we find that these tests are approximately correctly sized.
publishDate 2009
dc.date.created.spa.fl_str_mv 2009
dc.date.accessioned.none.fl_str_mv 2020-05-25T23:56:33Z
dc.date.available.none.fl_str_mv 2020-05-25T23:56:33Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1080/00949650701719136
dc.identifier.issn.none.fl_str_mv 949655
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/22460
url https://doi.org/10.1080/00949650701719136
https://repository.urosario.edu.co/handle/10336/22460
identifier_str_mv 949655
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 203
dc.relation.citationIssue.none.fl_str_mv No. 2
dc.relation.citationStartPage.none.fl_str_mv 195
dc.relation.citationTitle.none.fl_str_mv Journal of Statistical Computation and Simulation
dc.relation.citationVolume.none.fl_str_mv Vol. 79
dc.relation.ispartof.spa.fl_str_mv Journal of Statistical Computation and Simulation, ISSN:949655, Vol.79, No.2 (2009); pp. 195-203
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-57349147666&doi=10.1080%2f00949650701719136&partnerID=40&md5=2e9b675338d00c1c2272013388893537
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
institution Universidad del Rosario
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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