Choice modelers are often interested in estimating consumer marginal "willingness to pay" (WTP) for different product attributes. This talk will highlight some of the subtleties (and perhaps unintended assumptions) in two different approaches for obtaining estimates WTP as well as introduce the logitr R package, which was written to support flexible estimation of multinomial logit and mixed logit models with preference space and WTP space utility specifications.