MoreTravel International Travel Store
 Location:  Home» Travel Guides and Reference » Sports » Handling unobserved site characteristics in random utility models of recreation demand [An article from: Journal of Environmental Economics and Management]  
Categories
Camera & Photo
Dictionaries & Language
GPS & Navigation
Luggage & Accessories
Laptops & Notebooks
Portable Audio/Visual
Regional & International Cuisine
Travel Guides and Reference
Travel Magazines
Travel DVDs
Women's Swimwear
Men's Swimwear

Handling unobserved site characteristics in random utility models of recreation demand [An article from: Journal of Environmental Economics and Management]

Handling unobserved site characteristics in random utility models of recreation demand [An article from: Journal of Environmental Economics and Management]

enlarge enlarge 
Author: J. Murdock
Publisher: Elsevier
Category: Book

Buy New: $8.95




Format: Html
Media: Digital

ASIN: B000RR5FW4

Availability: Available for download now

Editorial Reviews:

Product Description
This digital document is a journal article from Journal of Environmental Economics and Management, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
This paper presents a new random utility model of recreation demand that addresses the unobserved characteristics of recreation sites. Most random utility recreation demand models implicitly assume that all relevant site characteristics are observed by the researcher or allow for the possibility of unobserved characteristics in a restrictive manner. Unlike traditional approaches, the proposed model avoids the bias unobserved site characteristics can cause in welfare estimates and the travel cost parameter. Monte Carlo simulations motivate the proposed model by showing that it provides more efficient parameter estimates. In contrast, existing methods yield less efficient estimates and biased standard errors that overstate precision. An empirical application to recreational fishing in Wisconsin illustrates the potential importance of this modeling innovation. In this application, controlling for unobserved characteristics is important for a range of model specifications.


Powered by Associate-O-Matic

MoreTravel.info