A Zonal RUM Model to Value Recreation Sites with Aggregate Visitation Data

Richard Melstrom and Carson Reeling

Land Economics, 2024, vol. 100, issue 4, 589-605

Abstract: This article develops a zonal random utility maximization (RUM) model of recreation demand from visitor counts and census data. In contrast, traditional RUM models of recreation demand use individual trip data collected through surveys. After demonstrating proof-of-concept with a Monte Carlo analysis, we apply the zonal RUM model to data on hunting and fishing trips. Our results confirm that the zonal model produces preference parameters and willingness-to-pay estimates close to those from the traditional model. The zonal RUM model provides a practical substitute to the traditional model in applications that lack access to individual data.

JEL-codes: Q26 Q51 (search for similar items in EconPapers)
Date: 2024
Note: DOI: https://doi.org/10.3368/le.100.4.121923-0135R
References: Add references at CitEc
Citations:

Downloads: (external link)
http://le.uwpress.org/cgi/reprint/100/4/589
A subscription is required to access pdf files. Pay per article is available.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:uwp:landec:v:100:y:2024:i:4:p:589-605

Access Statistics for this article

More articles in Land Economics from University of Wisconsin Press
Bibliographic data for series maintained by ().