I am a beginner user of R. I am using a national survey to test what variables influence the partecipation in complementary pensions (the partecipation in complementary pension is voluntary in my country).

Since the dependent variable is a dummy (1 if the person partecipate and 0 otherwise) I want to run a logit or probit regression; moreover I want to run a fixed effect regression since I subset the survey in order to have only the individuals interviewed more than one time. The data frame is composed by several social and economical variables and it also contain a variable "weight" which is the survey weight (they are weighting coefficients to adjust the results of the sample to the national data). family pers sex income pension1 10 1 F 10000 12 20 1 F 20000 13 20 2 M 40000 04 30 1 M 25000 05 30 2 F 50000 06 40 1 M 60000 1 pers is the component of the family and pension takes 1 if the person partecipate to complementary pension (it is a semplification of the original survey, which contains more variables and observation (aroun 22k observations)). I know how to use the plm and glm functions for a fixed effect or logit regressoin; in this case I don't know what to do since I need to take account of the survey weights. I used the svydesing function to "weight" the data frame: df1 <- svydesign(ids=~1, data=df, weights=~dfweight) I used ids=~1 because there isn't a "cluster" variable in the survey (I know that the towns are ramdomly selected and then individuals are ramdomly selected, but there isn't a variable that indicate the stratification). At this point I am lost: I don't know if it is right to use the survey package and then what function use to run the regression, or there is a way to use the plm or glm functions taking account of the weights. I tried so hard to search a solution on the website but if you could give me an answer I'd be glad. [[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.