[R] How to calculate the average direct effect, average total effect and average indirect effect for spatial regression models with spatial lag of dependent variable

Linus Holtermann holtermann at hwwi.org
Fri Jul 24 12:02:40 CEST 2015


Hello,

the command "impacts" in the spdep-packeage should help you.


Mit freundlichen Grüßen


Linus Holtermann
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-----Ursprüngliche Nachricht-----
Von: R-help [mailto:r-help-bounces at r-project.org] Im Auftrag von wenyueyang
Gesendet: Donnerstag, 23. Juli 2015 17:35
An: r-help at r-project.org
Betreff: [R] How to calculate the average direct effect, average total effect and average indirect effect for spatial regression models with spatial lag of dependent variable

Hi,

I am using four spatial regression models (SAR, SEM, SAC and SDM) to evaluate the spillover effect of some factors. LeSage and Pace (2009) pointed out that when the spatial lag of the dependent variable is included in the model, parameter estimates lose their conventional interpretation as marginal effects, because the spatial lag gives rise to a series of feedback loops and spillover effects across regions. Therefore, I need to calculate the three different marginal effects: average direct effect, average total effect and average indirect (spillover) effect, and this is what I don't know how to perform in R.
Can you teach me about how to calculate the average direct effect, average total effect and average indirect (spillover) effect for the spatial regression models in R and tell me the related R code? 
I would like to express my great appreciation to you!

Thank you very much and best regards.

Yours sincerely,
Wenyue Yang



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