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Conceptualizing Space: Reply

Published online by Cambridge University Press:  04 January 2017

Luc Anselin
Affiliation:
Regional Economics Applications Laboratory and Departments of Agricultural and Consumer Economics, Economics, and Geography, University of Illinois at Urbana-Champaign, 1301 Gregory Drive, Urbana, IL 61801
Wendy K. Tam Cho
Affiliation:
Departments of Political Science and Statistics, University of Illinois at Urbana-Champaign, 361 Lincoln Hall, 702 South Wright Street, Urbana, IL 61801

Extract

We read with interest the sundry points raised by King in his comment (2002) on our article (Anselin and Cho 2002). Given the space and time constraints in this forum, it is impossible for us to address adequately all of the issues here. It is sufficient to say that we strongly disagree with King's claims that we are “missing the point.” We will pursue a more thorough and formal rebuttal elsewhere, but would like to set the record straight on a few issues in the limited space provided here.

Type
Research Article
Copyright
Copyright © Political Methodology Section of the American Political Science Association 2002 

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References

Anselin, Luc, and Bera, Anil. 1998. “Spatial Dependence in Linear Regression Models with an Introduction to Spatial Econometrics.” In Handbook of Applied Economic Statistics, eds. Ullah, Amman and Giles, David E. A. New York: Marcel Dekker, pp. 237289.Google Scholar
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King, Gary. 2002. “Isolating Spatial Autocorrelation, Aggregation Bias, and Distributional Violations in Ecological Inference: Comment on Anselin and Cho.” Political Analysis 10:298300.Google Scholar