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Metadata Details
Spatial Econometrics -- Anselin
Contributed by Luc Anselin |
| version |
Summer 2002 |
| status |
Final |
| rights_restrictions |
yes |
| rights_description |
Copyright of these materials is held by the Regents of the University of California. Permission is granted for limited reproduction of these materials for non-commercial education uses only, providing the source is clearly acknowledged. |
| rights_cost |
no |
| resource_type |
Course |
| metametadata_contributor_role |
Creator |
| metametadata_contributor_entity |
David Fearon, fear@umail.ucsb.edu |
| metametadata_contributor_date |
2002-07-08 |
| location |
| http://geog55.gis.uiuc.edu/ace492se/index.html |
| learning_time |
12:00:00 |
| keywords |
Economics, real estate, spatial statistics, spatial heterogeneity, spatial dependence, SpaceStat, spatial probit models, spatial autocorrelation, spatial models in human geography, spatial-temporal dynamics, urban geography, spatial-temporal dynamics, spa |
| format |
text/html |
| end_user_role |
Teacher |
| description |
Course Syllabus ACE 492 SE Luc Anselin Spatial econometrics is the collection of econometric methods specifically geared at dealing with problems of spatial dependence and spatial heterogeneity encountered in cross-sectional (and panel) data sets. The use of spatial econometric techniques is increasingly common in empirical work in economics, not only in regional and urban economics (including real estate analysis), but also in resource and environmental economics, public economics, and international economics, among others. The main objective of the course is to expose you to state of the art methods of applied econometrics so that you can effectively incorporate them into your empirical research. While the focus will be on spatial aspects, the types of methods covered have general validity in econometric practice. The course will include topics such as the specification of dependent stochastic processes, maximum likelihood estimation of dependent processes, instrumental variables and general method of moments estimation, specification tests, and asymptotic and finite sample properties. Considerable attention will be paid to the application of the spatial econometric techniques in empirical practice, using the SpaceStat software package and computing in the xlispstat statistical toolbox. |
| CSISS_interest_area |
spatial econometrics,spatial autocorrelation,spatial dependence,spatial heterogeneity |
| CSISS_discipline |
Economics |
| contributor_role_1 |
Author |
| contributor_entity_1 |
Luc Anselin |
| contributor_date_1 |
2002-01-22 |
| contributor_role_2 |
Department of Agricultural and Consu |
| contributor_entity_2 |
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| contributor_date_2 |
0000-00-00 |
| aggregation_level |
3 |
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