Testing for Spatial Autocorrelation Among Regression Residuals
By A. Cliff, K. Ord. 2010
360 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/2f56d0d85a87f92f378352a01688ab506e9cadef
How researchers see this paper
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In Economics and Econometrics
- Martin Andersson
- Urban Gråsjö
- Luc Anselin
- Roger S. Bivand
- Cem Ertur
- Tobias Ruttenauer
- J. Le Gallo
- Gianfranco Piras
Citations in the corpus
- Spatial data analysis (2024, neutral): “The most common statistic for spatial dependence or autocorrelation is Moran’s I, which goes back to Moran (1950) and Cliff & Ord (1972).”
- Thirty years of spatial econometrics (2010, methodology): “In 1972, the article by Cliff and Ord appeared in Geographical Analysis that demonstrated how the Moran’s I test statistic for spatial autocorrelation could be applied to residuals from an ordinary least squares regression (Cliff and Ord 1972).”
- Spatial dependence and the representation of space in empirical models (2009, methodology): “The most widely applied test statistic is Moran’s I. Cliff and Ord (1972 ) a ndHordijk (1974) applied the principle for spatial autocorrelation to the residuals of regression models for cross-sectional data.”