Can we trust cluster-corrected standard errors? An application of spatial autocorrelation with exact locations known

dc.contributor.author	Gibson, John
dc.contributor.author	Kim, Bonggeun
dc.contributor.author	Olivia, Susan
dc.date.accessioned	2011-01-18T01:56:15Z
dc.date.available	2011-01-18T01:56:15Z
dc.date.issued	2010-11
dc.identifier.citation	Gibson, J., Kim, B. & Olivia, S. (2010). Can we trust cluster-corrected standard errors? An application of spatial autocorrelation with exact locations known. (Department of Economics Working Paper Series, Number 10/07). Hamilton, New Zealand: University of Waikato.	en_NZ
dc.identifier.uri	https://hdl.handle.net/10289/4945
dc.description.abstract	Standard error corrections for clustered samples impose untested restrictions on spatial correlations. Our example shows these are too conservative, compared with a spatial error model that exploits information on exact locations of observations, causing inference errors when cluster corrections are used.	en_NZ
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.publisher	Waikato Management School	en_NZ
dc.relation.ispartofseries	Department of Economics Working Paper Series
dc.subject	clustered samples	en_NZ
dc.subject	GPS	en_NZ
dc.subject	spatial correlation	en_NZ
dc.title	Can we trust cluster-corrected standard errors? An application of spatial autocorrelation with exact locations known	en_NZ
dc.type	Working Paper	en_NZ
uow.relation.series	10/07
dc.relation.isPartOf	Department of Economics Working Paper	en_NZ
pubs.elements-id	54202