Dear all,
I am running the following panel regression;
plm1 <- plm(formula = log(y) ~ x1 + I(x1^2) + heat*debt_dummy + tt, data df,
index=c("region","year"))
where 'df' is a pdata.frame. I would like to obtain marginal effects of
'y'
for the variable 'x1'. I have tried the packages 'prediction'
and 'margins'
without luck.
Is it possible to obtain marginal effects with 'plm'? Any help will be
highly appreciated. Thank you.
Error in UseMethod("predict") :
no applicable method for 'predict' applied to an object of class
"c('plm', 'panelmodel')"
Sincerely,
Milu
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You might be interested in the "prediction" and "margins" packages. --Ista On Wed, Sep 5, 2018 at 6:30 PM Miluji Sb <milujisb at gmail.com> wrote:> > Dear all, > > I am running the following panel regression; > > plm1 <- plm(formula = log(y) ~ x1 + I(x1^2) + heat*debt_dummy + tt, data > df, index=c("region","year")) > > where 'df' is a pdata.frame. I would like to obtain marginal effects of 'y' > for the variable 'x1'. I have tried the packages 'prediction' and 'margins' > without luck. > > Is it possible to obtain marginal effects with 'plm'? Any help will be > highly appreciated. Thank you. > > Error in UseMethod("predict") : > no applicable method for 'predict' applied to an object of class > "c('plm', 'panelmodel')" > > Sincerely, > > Milu > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.
Dear Ista, Thanks for your reply. I tried both "prediction" and "margins" but neither of them seem to work with plm. Sincerely, Milu On Thu, Sep 6, 2018 at 3:04 PM Ista Zahn <istazahn at gmail.com> wrote:> You might be interested in the "prediction" and "margins" packages. > > --Ista > > On Wed, Sep 5, 2018 at 6:30 PM Miluji Sb <milujisb at gmail.com> wrote: > > > > Dear all, > > > > I am running the following panel regression; > > > > plm1 <- plm(formula = log(y) ~ x1 + I(x1^2) + heat*debt_dummy + tt, data > > > df, index=c("region","year")) > > > > where 'df' is a pdata.frame. I would like to obtain marginal effects of > 'y' > > for the variable 'x1'. I have tried the packages 'prediction' and > 'margins' > > without luck. > > > > Is it possible to obtain marginal effects with 'plm'? Any help will be > > highly appreciated. Thank you. > > > > Error in UseMethod("predict") : > > no applicable method for 'predict' applied to an object of class > > "c('plm', 'panelmodel')" > > > > Sincerely, > > > > Milu > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > > and provide commented, minimal, self-contained, reproducible code. >[[alternative HTML version deleted]]