Metadata Details

Spatial Econometrics -- 3 � Maximum Likelihood Estimation 2
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/ml2.html
learning_time 2:00:00 
keywords Economics, spatial econometrics, spatial statistics, spatial lag, maximum likelihood estimation, GLS approach, spatial dependence, asymptotics, central limit theorems, spatial error 
format application/pdf 
end_user_role Teacher 
description Course Syllabus ACE 492 SE Luc Anselin Spatial econometrics lecture notes 7 Maximum Likelihood Estimation 2 ML Estimation Spatial Lag Jacobian; log likelihood, Ord simplification; first order conditions, concentrated log-likelihood (profile likelihood); information matrix and asymptotic variance; measures of fit (log likelihood, AIC). ML Estimation Spatial Error Model full ML estimation, Feasible GLS; error covariance structures; GLS approach, no consistent two-step approach; ML approach, likelihood, concentrated likelihood, first order conditions; information matrix and asymptotic variance. ML Estimation of Models that Combine Dependence and Heterogeneity spatial lag with heteroskedasticity; spatial error with heteroskedasticity; ML estimation, log-likelihood general model.  
CSISS_interest_area spatial econometrics,spatial statistic,maximum likelihood estimation 
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 
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