Hello. Relative importance of individual effects' variance: i.e., the standard quas-demeaning parameter, as in any panel data textbook (e.g. Baltagi, Wooldridge).
Cheers, Giovanni -----Messaggio originale----- Da: alfonso.carf...@uniparthenope.it [mailto:alfonso.carf...@uniparthenope.it] Inviato: lunedì 9 settembre 2013 15.07 A: r-help@r-project.org Cc: Millo Giovanni Oggetto: theta parameter - plm package Hi all, what indicates the parameter theta in the summary of a random effect panel model estimated with the plm function? example: data("Produc", package = "plm") zz <- plm(log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp, model="random", data = Produc, index = c("state","year")) summary(zz) Effects: var std.dev share idiosyncratic 0.001454 0.038137 0.175 individual 0.006838 0.082691 0.825 theta: 0.8888 Thanks Alfonso Ai sensi del D.Lgs. 196/2003 si precisa che le informazi...{{dropped:12}} ______________________________________________ R-help@r-project.org mailing list 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.
