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Isolating Spatial Autocorrelation, Aggregation Bias, and Distributional Violations in Ecological Inference: Comment on Anselin and Cho

Published online by Cambridge University Press:  04 January 2017

Gary King
Gary King*
Affiliation:
Center for Basic Research in the Social Sciences, 34 Kirkland Street, Harvard University, Cambridge, MA 02138. e-mail: king@harvard.edu
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Extract

Few better ways of checking and improving statistical methods exist than having other researchers go over your results, and so I especially appreciate the efforts in Anselin and Cho (2002), hereinafter AC. In this note, I make two main points.

Information

Type
Research Article
Information
Political Analysis , Volume 10 , Issue 3: Special Issue on Spatial Methods in Political Science , Summer 2002 , pp. 298 - 300
Copyright
Copyright © Political Methodology Section of the American Political Science Association 2002 

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References

Anselin, Luc, and Tam Cho, Wendy K. 2002. “Spatial Effects and Ecological Inference.” Political Analysis 10:276–297.CrossRefGoogle Scholar
Donoho, D. L., and Huber, P. J. 1983. “The Notion of the Breakdown Point.” In A Feschrift for Erich L. Lehmann, eds. Bickel, Peter J., Doksum, Kjell A., and Hodges, J. L. Belmont, CA: Wadsworth.Google Scholar
Imai, Kosuke, and King, Galy. 2002. Did Illegally Counted Overseas Absentee Ballots Decide the 2000 U.S. Presidential Election? Cambridge, MA: Harvard University. http://gking.harvard.edu/preprints.shtml#ballots.Google Scholar
King, Gary. 1997. A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data. Princeton: Princeton University Press.Google Scholar
King, Gary. 2000. “Geography, Statistics, and Ecological Inference.” Annals of the Association of American Geographers 90:601–606.CrossRefGoogle Scholar