Can We Trust Cluster-Corrected Standard Errors? An Application of Spatial Autocorrelation with Exact Locations Known
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.
|Date of creation:||18 Aug 2010|
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- Thomas Barrios & Rebecca Diamond & Guido W. Imbens & Michal Kolesár, 2012.
"Clustering, Spatial Correlations, and Randomization Inference,"
Journal of the American Statistical Association,
Taylor & Francis Journals, vol. 107(498), pages 578-591, June.
- Thomas Barrios & Rebecca Diamond & Guido W. Imbens & Michal Kolesar, 2010. "Clustering, Spatial Correlations and Randomization Inference," NBER Working Papers 15760, National Bureau of Economic Research, Inc.
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