Specification Errors and Inference in Recreation Demand Models

1980 ◽  
Vol 62 (4) ◽  
pp. 798-800 ◽  
Author(s):  
Michael E. Wetzstein ◽  
John G. McNeely
Keyword(s):  
Recreation Demand ◽  
Specification Errors ◽  
Demand Models

Identifying non-consistent choice behavior in recreation demand models

2001 ◽  
Vol 72 (3) ◽  
pp. 403-410 ◽  
Author(s):  
Luis C. Nunes ◽  
Maria A. Cunha-e-Sá ◽  
Maria M. Ducla-Soares ◽  
Márcia A. Rosado ◽  
Brett H. Day
Keyword(s):  
Choice Behavior ◽  
Recreation Demand ◽  
Demand Models

Evaluating goodness of fit in nonlinear recreation demand models

1986 ◽  
Vol 8 (2) ◽  
pp. 131-147 ◽  
Author(s):  
George L. Peterson ◽  
Daniel J. Stynes
Keyword(s):  
Goodness Of Fit ◽  
Recreation Demand ◽  
Demand Models

scholarly journals Some Issues Concerning Specification and Interpretation of Outdoor Recreation Demand Models

1974 ◽  
Vol 6 (1) ◽  
pp. 165-169
Author(s):  
Thomas A. Jennings ◽  
Kenneth C. Gibbs
Keyword(s):  
Outdoor Recreation ◽  
Past Research ◽  
Recreation Demand ◽  
Proxy Variables ◽  
Price Data ◽  
Demand Models

Some currently popular procedures for analyzing the demand for outdoor recreation makes use of ancillary travel and on-site expenditures of recreationists as proxy prices. It can yet regrettably be asked whether the estimates produced by those methods bear any resemblance to the market-equivalent price-quantity relationships they generally purport to quantify. To some unavoidable extent this results from the necessary reliance upon proxies, or surrogates, for both quantity and price data. The ultimate value of proxy variables and of estimated relationships between them lies in the extent to which they resemble useful concepts. Past research has been based largely on assumptions of the resemblance.

The Effect of Site Congestion on Valuing Freshwater Fishing for Urban Residents

2019 ◽  
Vol 06 (04) ◽  
pp. 1950008 ◽  
Author(s):  
Richard T. Melstrom ◽  
Taylor Welniak
Keyword(s):  
Instrumental Variables ◽  
Choice Model ◽  
Revealed Preference ◽  
Recreation Demand ◽  
Oklahoma City ◽  
Weight Of Evidence ◽  
Urban Residents ◽  
Demand Models ◽  
A Site ◽  
Congestion Effects

This paper provides evidence that welfare estimates from recreation demand models can be severely biased if the model omits congestion effects. Congestion effects arise when crowding at popular sites lowers site values. Measuring the effect of congestion is complicated by a well-known endogeneity problem in revealed preference data. We study congestion effects in a sample of licensed anglers in Oklahoma City. We develop a site choice model of freshwater fishing, and correct for endogenous congestion using an instrumental variables strategy. Our results add to the growing weight of evidence that ignoring congestion leads to estimates that understate the value of individual sites and site amenities.

Natural Resources Research Program. Annotated Bibliography for Regional Recreation Demand Models

1991 ◽  
Author(s):  
John R. Stoll ◽  
Johh C. Bergstrom ◽  
Lansingh S. Freeman ◽  
Jim E. Henderson
Keyword(s):  
Natural Resources ◽  
Research Program ◽  
Annotated Bibliography ◽  
Recreation Demand ◽  
Demand Models
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