Hi there Within sampleSelection, I'm trying to calculate the marginal effects for variables that are present in both the selection and outcome models. For example, age might have a positive effect on probability of selection, but then a negative effect on the outcome variable. i.e. Model<-selection(participation~age, frequency~age, ...) Documentation elsewhere describes one method for doing this in Stata based on Sigelman and Zeng: http://polisci.osu.edu/prl/Selection%20Models.pdf - see page 16. I'd like to replicate this in r, but wanted to check I'm not reinventing the wheel, before doing so. Any help is much appreciated. Best regards Mark [[alternative HTML version deleted]]