Robinson, Peter (2008) Developments in the analysis of spatial data. Journal of the Japan Statistical Society, 38 (1). pp. 87-96. ISSN 1882-2754
Abstract
Disregarding spatial dependence can invalidate methods for analyzing cross-sectional and panel data. We discuss ongoing work on developing methods that allow for, test for, or estimate, spatial dependence. Much of the stress is on nonparametric and semiparametric methods.
| Item Type: | Article |
|---|---|
| Official URL: | http://www.jss.gr.jp/en/journal/index.html |
| Additional Information: | © 2008 Japan Statistical Society |
| Uncontrolled Keywords: | spatial data, statistical inferences |
| Library of Congress subject classification: | H Social Sciences > HB Economic Theory Q Science > QA Mathematics |
| Journal of Economic Literature Classification System: | C - Mathematical and Quantitative Methods > C3 - Econometric Methods: Multiple; Simultaneous Equation Models; Multiple Variables; Endogenous Regressors |
| Sets: | Departments > Economics Collections > Economists Online |
| Rights: | http://www.lse.ac.uk/library/rights/LSERO.htm |
| URL: | http://eprints.lse.ac.uk/35681/ |
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