I am having trouble including covariates in a fuzzy RDD model in R with 
rddtools. I run the following commands:


    data.complete2 <- as.data.frame(cbind(GDPpc.rel, GR.rate, 
fitval.firstStage)) colnames(data.complete2) <- c("GDPpc.rel", "GR.rate", 

    data.RDD<-rdd_data(x=data.complete2$GDPpc.rel, y=data.complete2$GR.rate, 
z=data.complete2$FitTreat, covar=dummytime, cutpoint = 0.75)
    data.RDD1<-rdd_data(x=data.complete2$GDPpc.rel, y=data.complete2$GR.rate, 
z=data.complete2$FitTreat, covar=cbind(dummytime, dummyreg), cutpoint = 0.75)

    reg_para <- rdd_reg_lm(rdd_object=data.RDD, covar.opt = list(strategy= 
"include"), order = 4)
    reg_para1 <- rdd_reg_lm(rdd_object=data.RDD1,  covar.opt = list(strategy = 
"include"), order = 4)

where dummytime and dummyreg are two dummy variables considering time and 
regional effects.

The problem is that looking at the summary of the two regressions, they seem to 
be exactly the same and the coefficient which should refer to the dummy 
variables is not reported. My guess is that I did not actually implement the 
covariates in the regression, but I cannot understand where is the problem. Any 

Thank you in advance.

Best regards,

Chiara Malavasi

        [[alternative HTML version deleted]]

R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to