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sphet: Spatial models with heteroskedastic innovations in R
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نویسنده
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piras g.
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منبع
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journal of statistical software - 2010 - دوره : 35 - - کد همایش: - صفحه:1 -21
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چکیده
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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 coeffcients 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.
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کلیدواژه
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Computational methods; Heteroskedasticity; Kernel functions; R; Semiparametric methods; Spatial models
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آدرس
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department of city and regional planning,cornell university and idear,universidad catolica del norte,323 west sibley hall,ithaca,ny 14853, United States
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Authors
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