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Metadata Details
Spatial Econometrics
Contributed by Luc Anselin |
version |
final |
status |
Final |
rights_restrictions |
yes |
rights_description |
Copyright � 2000 by Regents of University of California, Santa Barbara |
rights_cost |
no |
resource_type |
Academic Papers |
metametadata_contributor_role |
Creator |
metametadata_contributor_entity |
David Fearon, fear@umail.ucsb.edu |
metametadata_contributor_date |
2002-09-09 |
location |
Link
|
learning_time |
2:00:00 |
keywords |
spatial econometrics, spatial heterogeneity, SpaceStat, spatial autocorrelation, Spatial Probit, spatial interaction, spatial structure, spatial data analysis, spatial interaction models, Spatial dynamics, spatial statistics |
format |
application/pdf |
end_user_role |
teacher; student |
description |
working paper on the use of spatial interactions and spatial structure in regression analysis. Spatial econometrics is a subfield of econometrics that deals with the treatment of spatial interaction (spatial autocorrelation) and spatial structure (spatial heterogeneity) in regression models for cross-sectional and panel data. Topics include spatial regression models, estimation, and specific tests. |
CSISS_interest_area |
spatial econometrics,spatial autocorrelation,spatial interaction,spatial data analysis |
CSISS_discipline |
Economics,Geography,Statistics |
contributor_role_1 |
Author |
contributor_entity_1 |
Luc Anselin |
contributor_date_1 |
2000-04-01 |
aggregation_level |
1 |
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Copyright © 2002-2007 by Regents of University of California, Santa Barbara
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