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dc.date.accessioned 2010-06-10T17:10:23Z
dc.date.available 2010-06-10T03:00:00Z
dc.date.issued 2008
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/3624
dc.description.abstract This paper derives unbalanced versions of the tests statistics for first order serial correlation and random individual e®ects summarized in Sosa Escudero and Bera (2001), and updates their xttest1 routine. The derived tests statistics should be useful for applied researchers faced with the increasing availability of panel information where not every individual or country is observed for the full time span. Also, as it was the case of the previously available tests, the test statistics proposed here are based on the OLS residuals, and hence are computationally very simple. en
dc.language en es
dc.subject modelos econométricos es
dc.subject econometría es
dc.subject error components model; unbalanced panel data; testing; misspecification en
dc.title Tests for unbalanced error component models under local misspecification en
dc.type Articulo es
sedici.identifier.uri http://cedlas.econo.unlp.edu.ar/download.php?file=archivos_upload/doc_cedlas65.pdf es
sedici.identifier.issn 1853-0168 es
sedici.creator.person Sosa Escudero, Walter es
sedici.creator.person Bera, Anil K. es
sedici.description.note Trabajo publicado en The Stata Journal, Volume 8, Number 1, pp. 68-78. es
sedici.subject.materias Economía es
sedici.description.fulltext true es
mods.originInfo.place Centro de Estudios Distributivos, Laborales y Sociales (CEDLAS) es
sedici.subtype Documento de trabajo es
sedici.rights.license Creative Commons Attribution 4.0 International (CC BY 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by/4.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000006099 es
sedici.relation.journalTitle Documentos de Trabajo del CEDLAS es
sedici.relation.journalVolumeAndIssue no. 65 es


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Creative Commons Attribution 4.0 International (CC BY 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution 4.0 International (CC BY 4.0)