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dc.contributor.author
Montes Rojas, Gabriel Victorio
dc.date.available
2018-05-31T15:52:57Z
dc.date.issued
2016-08
dc.identifier.citation
Montes Rojas, Gabriel Victorio; An equicorrelation Moulton factor in the presence of arbitrary intra-cluster correlation
; Elsevier; Economics Letters; 145; 8-2016; 221-224
dc.identifier.issn
0165-1765
dc.identifier.uri
http://hdl.handle.net/11336/46811
dc.description.abstract
This note highlights the potential pitfalls of using an equicorrelation model to estimate standard errors when the true model has arbitrary intra-cluster correlation. It derives a generalized equicorrelation Moulton factor that quantifies the potential biases in standard errors for OLS estimators. As with the famous Moulton factor, the key role is not played by the correlation of the error terms but rather by the intra-correlation of the covariates themselves.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
Moultor Factor
dc.subject
Cluster
dc.subject.classification
Matemática Pura
dc.subject.classification
Matemáticas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
An equicorrelation Moulton factor in the presence of arbitrary intra-cluster correlation
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-05-29T18:37:02Z
dc.journal.volume
145
dc.journal.pagination
221-224
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Montes Rojas, Gabriel Victorio. Universidad de San Andrés; Argentina. City University of London; Reino Unido. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Economics Letters
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1016/j.econlet.2016.06.022
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0165176516302269
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