This article introduces a multinomial logit model that uses ancillary information to control for uncertainty in both the observed choices made by respondents, and in the attributes of a respondent's choice set. Simulated data are used to compare the performance of this estimator versus simpler...

Despite a number of significant advances in count data modeling during the last two decades and the growing popularity of these models in recreation demand analysis, standard count data models are inadequate to address the fast decay process of the dependent variable and the associated long...

This paper investigates the role of congestion in influencing the site choice of recreation participants and derived values for a trip. Estimation is performed in a revealed preference framework by constructing an instrument for congestion within the estimation using the predicted choices of...