Dear all,
I am trying to estimate the marginal effects of a logit regression using the mfx package. It is crucial that the standard errors are clustered at the year level. Hence, the code looks as follows: marginal.t24.2<-logitmfx(stock.market.crash~crash.t24+bubble.t24+RV.t24,data=Data_logitregression_lags, clustervar1 = "year") marginal.t24.4<-logitmfx(stock.market.crash~crash.t24+bubble.t24+MP.t24+UTS.t24+UPR.t24+PPI.t24+RV.t24,data=Data_logitregression_lags, clustervar1 = "year") Is it correct to use clustervar1 = "year" to have year clustered standard errors? In addition I would like to create a table. I thought that stargazer would be appropriate but the following code is not working: stargazer(marginal.t24.2, marginal.t24.4, title="Marginal effects result",type="text",out="Marginalt24logit-exportJun2017.txt") R returns following error: % Error: Unrecognized object type. How can I create a table with marginal effects and the corresponding standard errors? Is there an alternative to stargazer? Thanks for your support in advance. Kind regards. [[alternative HTML version deleted]] ______________________________________________ R-help@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.