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

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.