Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-25T19:44:36.648Z Has data issue: false hasContentIssue false

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 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

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
Anselin, Luc, and Tam Cho, Wendy K. 2002. “Spatial Effects and Ecological Inference.” Political Analysis 10:276297.Google Scholar
Cressie, Noel. 1993. Statistics for Spatial Data. New York: Wiley.Google Scholar
Kelejian, Harry H., and Robinson, Dennis P. 1995. “Spatial Correlation: A Suggested Alternative to the Autoregressive Model.” In New Directions in Spatial Econometrics, eds. Anselin, Luc and Florax, J. G. M. Berlin: Springer-Verlag, pp. 7595.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 90:601606.Google Scholar
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