In this chapter we took a broad look at American participation in on-farm recreation. While further analysis is in order, it does seem that visiting farms, either as a primary purpose of a trip or as part of a rural sightseeing outing, is a popular activity. We estimate that over 60 million...

In this paper we measure the recreational economic benefits of the for-hire recreational fishery in the coastal region of North Carolina. We estimate a single trip random utility model for primary purpose and secondary purpose anglers with data from a field survey of charter and head-boat...

Several large Irish lake fisheries comprise both pike (Esox Lucius) and brown trout (Salmo trutta). Due to predation on trout, pike stocks are actively managed in several locations with the objective of enhancing the trout fishery, which is a policy strongly supported by some trout anglers but...

The opportunity Value of Travel Time (VTT) is one of the most important parts of the total cost of recreation day-trips and arguably the most difficult to estimate. Most studies build upon the theoretical framework proposed by Becker's (1965) by using a combination of revealed and stated...

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...

Discrete choice models generate welfare measures resulting from environmental quality changes on a per trip basis instead of over a longer, more policy-relevant time period. Seasonal or annual welfare measures resulting from a quality change are often computed by multiplying each individual′s...

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...

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...