This paper presents models that predict two recreational fishing trip parameters: the length of a trip and the timing of a trip within a year. A discrete choice (logit) model linking the choice of trip timing to calendar events, the demographic characteristics of anglers as well as the nature of the trip is econometrically estimated. A Tobit model is used to evaluate the relationship between fishing trip length and personal and trip characteristics. The results indicate that timing choice and trip length can be explained well in terms of observable personal and trip variables. Knowledge of these relationships is a useful input to tourism/recreational fishing management as well as to the development of tourism/fishing activity simulation models.