[R-sig-Geo] Heteroscedasticity in Spatial Error Model
Roger Bivand
Roger.Bivand at nhh.no
Sun Aug 13 12:49:13 CEST 2017
On Sun, 13 Aug 2017, Javier García wrote:
> Hello again:
>
>
>
> Please, could anyone tell me how to estimate robust standard errors for a
> spatial error model? The residuals of my model show heteroscedasticity
> evidence, but the functions I have looked at only work with lm type objects.
>
The documented approaches use GM rather than ML for fitting - see the
sphet package and https://www.jstatsoft.org/index.php/jss/issue/view/v063.
You should really try to remove the sources of model mis-specification
instead of spreading coefficient standard errors by guesswork. The may
stem from MAUP, missing covariates and/or wrong functional forms.
Roger
>
>
> Thanks a lot in advance.
>
>
>
> Javi
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> JAVIER GARCÍA
>
>
>
> Departamento de Economía Aplicada III (Econometría y Estadística)
>
> Facultad de Economía y Empresa (Sección Sarriko)
> Avda. Lehendakari Aguirre 83
>
> 48015 BILBAO
> T.: +34 601 7126 F.: +34 601 3754
> <http://www.ehu.es/> www.ehu.es
>
> http://www.unibertsitate-hedakuntza.ehu.es/p268-content/es/contenidos/inform
> acion/manual_id_corp/es_manual/images/firma_email_upv_euskampus_bilingue.gif
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--
Roger Bivand
Department of Economics, Norwegian School of Economics,
Helleveien 30, N-5045 Bergen, Norway.
voice: +47 55 95 93 55; e-mail: Roger.Bivand at nhh.no
Editor-in-Chief of The R Journal, https://journal.r-project.org/index.html
http://orcid.org/0000-0003-2392-6140
https://scholar.google.no/citations?user=AWeghB0AAAAJ&hl=en
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