sphet: Spatial Models with Heteroskedastic Innovations in R

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sphet is a package for estimating and testing spatial models with heteroskedastic innovations. We implement recent generalized moments estimators and semiparametric methods for the estimation of the coefficients variance-covariance matrix. This paper is a general description of sphet and all functionalities are illustrated by application to the popular Boston housing dataset. The package in its current version is limited to the estimators based on Arraiz, Drukker, Kelejian, and Prucha (2010); Kelejian and Prucha (2007, 2010). The estimation functions implemented in sphet are able to deal with virtually any sample size.

Authors:	Gianfranco Piras
Title:	[download] (403)sphet: Spatial Models with Heteroskedastic Innovations in R
Reference:	Vol. 35, Issue 1, Jun 2010 Submitted 2009-10-26, Accepted 2010-03-31
Type:	Article
Paper:	[download] (403)sphet: Spatial Models with Heteroskedastic Innovations in R (application/pdf, 560.6 KB)
Supplements:	[download] (54)R source package (application/x-gzip, 280.7 KB)
	[download] (71)R example code from the paper (application/octet-stream, 5 KB)
	[download] (56)GWT file for Boston data (application/octet-stream, 123.3 KB)
	[download] (57)GWT file for artificial example (application/octet-stream, 55 KB)

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关键词：Innovations Innovation Spatial models HETERO models Spatial Innovations sphet