Spatial Econometrics -- 3 � IV-GMM Estimation (1) � General Principles 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 |
Lecture Materials |
metametadata_contributor_role |
Creator |
metametadata_contributor_entity |
David Fearon, fear@umail.ucsb.edu |
metametadata_contributor_date |
2002-07-09 |
location |
http://geog55.gis.uiuc.edu/ace492se/iv1.html |
learning_time |
2:00:00 |
keywords |
Economics, spatial econometrics, spatial statistics, instrumental variables estimation, generalized method of moments (GMM), asymptotics |
format |
application/pdf |
end_user_role |
Teacher |
description |
Course Syllabus ACE 492 SE Luc Anselin Spatial econometrics lecture notes 8 IV-GMM Estimation Basic Principles: Instrumental Variables Estimation orthogonality conditions, simultaneous equation bias; instrumental variables; IV estimation, asymptotic variance of IV estimator; Two stage least squares (2SLS), properties of 2SLS. Basic Principles: Method of Moments method of moments, estimation principle; moments equations, empirical moments, moment estimators; conditional moments, IV as a moments estimator. Basic Principles: Generalized Method of Moments (GMM) overidentified systems, criterion function; weighting matrix, efficient GMM; GMM of econometric models, estimating equations, weighting matrix, estimators of asymptotic variance |
CSISS_interest_area |
spatial econometrics,spatial statistic |
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 |
|
contributor_date_2 |
0000-00-00 |
aggregation_level |
1 |