Dear Stata Community,
I hope this message finds you well. I am currently conducting research using spatial econometric models, specifically SAR (Spatial Autoregressive Model), SEM (Spatial Error Model), SARAR (Spatial Autoregressive Combined Model), and SDM (Spatial Durbin Model) in Stata. However, I have encountered a challenge: these models do not seem to provide an R² value directly in the output.
As R² is a crucial measure for the goodness-of-fit of a model, I am looking for any methods, commands, or workarounds that would allow me to obtain and display the R² value for these spatial models in Stata.
I have considered calculating a pseudo R² manually, but I am interested in knowing if there is a more straightforward or recommended approach within the Stata environment. Any guidance, advice, or examples from your experience would be immensely helpful.
Thank you very much for your time and assistance. I greatly appreciate any help you can provide.
I hope this message finds you well. I am currently conducting research using spatial econometric models, specifically SAR (Spatial Autoregressive Model), SEM (Spatial Error Model), SARAR (Spatial Autoregressive Combined Model), and SDM (Spatial Durbin Model) in Stata. However, I have encountered a challenge: these models do not seem to provide an R² value directly in the output.
As R² is a crucial measure for the goodness-of-fit of a model, I am looking for any methods, commands, or workarounds that would allow me to obtain and display the R² value for these spatial models in Stata.
I have considered calculating a pseudo R² manually, but I am interested in knowing if there is a more straightforward or recommended approach within the Stata environment. Any guidance, advice, or examples from your experience would be immensely helpful.
Thank you very much for your time and assistance. I greatly appreciate any help you can provide.
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