I want to do the following: glm(y ~ x1 + x2 +...) within a panel. Hence y, x1, and x2 all vary at the individual level. However, there is likely correlation of these variables within an individual, so standard errors need adjustment. I do not want to estimate fixed effects, but do want to cluster standard errors at the individual level. Is there an automated way to do this? Nothing in the cluster documentation makes it clear that there is.
(An alternative is to do this by hand. In that case, I would need to be able to calculate weighted sums of x1 and x2... at the individual level. I can do this at the variable level [with lapply,split and unsplit], but would love to be able to do so over the matrix of x's. Of course, doing by hand is less easy than an automated solution if it exists.) Thomas Davidoff Assistant Professor Haas School of Business UC Berkeley Berkeley, CA 94720 phone: (510) 643-1425 fax: (510) 643-7357 [EMAIL PROTECTED] http://faculty.haas.berkeley.edu/davidoff [[alternative HTML version deleted]] ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
