Toward A Value For Guided Rafting On Southern Rivers
AbstractThis study examines per trip consumer surplus associated with guided whitewater rafting on two southern rivers. First, household recreation demand functions are estimated based on the individual travel cost model using truncated count data regression methods and alternative price specifications. Findings show mean per trip consumer surplus point estimates between $89 and $286, depending on modeling assumptions and river quality. Magnitudes of these surpluses are very dependent on assumptions about the opportunity cost of time.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Southern Agricultural Economics Association in its journal Journal of Agricultural and Applied Economics.
Volume (Year): 28 (1996)
Issue (Month): 02 (December)
Consumer surplus; Count data; Guided rafting; Travel cost; Resource /Energy Economics and Policy;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Teasley, R. Jeff & Bergstrom, John C. & Cordell, H. Ken, 1994. "Estimating Revenue-Capture Potential Associated With Public Area Recreation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(01), July.
- Hellerstein, Daniel, 1991. "Using Count Data Models in Travel Cost Analysis with Aggregate Data," MPRA Paper 25264, University Library of Munich, Germany.
- Alan Randall, 1994. "Difficulty with the Travel Cost Method," Land Economics, University of Wisconsin Press, vol. 70(1), pages 88-96.
- Shaw, Daigee, 1988. "On-site samples' regression : Problems of non-negative integers, truncation, and endogenous stratification," Journal of Econometrics, Elsevier, vol. 37(2), pages 211-223, February.
- Englin, Jeffrey & Shonkwiler, J S, 1995. "Estimating Social Welfare Using Count Data Models: An Application to Long-Run Recreation Demand under Conditions of Endogenous Stratification and Truncation," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 104-12, February.
- Bailey, A. & Williams, N. & Palmer, M. & Geering, R., 2000. "The farmer as service provider: the demand for agricultural commodities and equine services," Agricultural Systems, Elsevier, vol. 66(3), pages 191-204, December.
- Feather, Peter & Shaw, W. Douglass, 1999.
"Estimating the Cost of Leisure Time for Recreation Demand Models,"
Journal of Environmental Economics and Management,
Elsevier, vol. 38(1), pages 49-65, July.
- Feather, Peter & Shaw, W. Douglass, 1998. "Estimating The Cost Of Leisure Time For Recreation Demand Models," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20855, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.