Hello, I am working on a Tobit Model for a consumer good, left censored with zero.
Relation: Sales of product depend on price, promotion (dummy), Season(dummy) and store (dummy) Used standard Tobitmodel with package(AER) vor a 48 week period: tobitmodel<-tobit(SALE~Price+Promotion+Season+Store,data= datatobit) Now I want to predict the values for week 49-52. Used predict device: pred<-predict(tobitmodel, newdata=datatobitnew) I receive negative predicted values for Y! That does not make any sense?? Do I use the device wrong? Is there another way to predict Sales for new data? Thank you very much in advance for your help! -- View this message in context: http://www.nabble.com/HELP%3A-Use-predict-for-Tobit-Model.-How-to-predict-values-in-Tobit-Model----tp22933523p22933523.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
