Hi there, I hope you don't mind me asking a general stats rather than a R-specific question.
I'm estimating a median regression model and would like to interpret my (mainly categorical) regression coefficients in terms of percentage changes in the dependent variable. There are about 10-15%(naturally occuring) zeros in my datasets. The dependent variable (y) varies from zero to about 100,000. Would using ln(y+1) as the dependent variable be more defensible with quantile regression compared to the OLS context? Best, Irene ______________________________________________ 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.
