This article proposes semiparametric estimation of on-site count data models based on a series expansion approach of Gurmu, Rilstone and Stern (1999, Journal of Econometrics 88, 123-150), which is flexible and adaptable for a form of overdispersion as long as the exponential mean...

Using count data models that account for zero-truncation, overdispersion, and endogenous stratification, this paper estimates the value of access to recreational parks. The focus is on the valuation of the opportunity cost of travel time within the cost of the trip and its effects on estimated...

This study examines the proper estimation of trip demand and economic benefits for visitors to recreation sites when past-season trip information is elicited from travelers intercepted on-site. We show that the proper weighting of past season counts is different from the standard on-site...

Using count data models that account for zero-truncation, overdispersion, and endogenous stratification, we estimate the value of access to recreational parks. The focus is on the empirical estimation of the proportion of the wage rate that best approximates park visitors’ opportunity cost of...

Using on-site survey data from Gros Morne National Park in Newfoundland, this paper estimates and compares several truncated count data models of recreation demand. The model that not only accounts for the truncated and overdispersed nature of the data but also for endogenous stratification duet...