A Two-Constraint Almost Ideal Demand Model of Recreation and Donations

Sabina L. Shaikh and Douglas M. Larson
Additional contact information
Sabina L. Shaikh: RCF Economic and Financial Consulting
Douglas M. Larson: University of California-Davis

The Review of Economics and Statistics, 2003, vol. 85, issue 4, 953-961

Abstract: An incomplete demand system is developed for recreation and donation choices, subject to both money and time constraints. The model results in a three-good system, with an endogenous marginal value of time for estimation. The model is implemented by adapting Deaton and Muellbauer's locally flexible almost ideal demand system to a two-constraint recreation model of trips and donations of California whale watchers. Exact welfare measures are calculated for changes in costs, as well as for whale population changes. Results indicate a use and a nonuse component of overall willingness to pay for increases in environmental quality. © 2003 President and Fellows of Harvard College and the Massachusetts Institute of Technology.

Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://www.mitpressjournals.org/doi/pdf/10.1162/003465303772815853 link to full text (application/pdf)
Access to full text is restricted to subscribers.

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:tpr:restat:v:85:y:2003:i:4:p:953-961

Ordering information: This journal article can be ordered from
https://mitpressjour ... rnal/?issn=0034-6535

Access Statistics for this article

The Review of Economics and Statistics is currently edited by Pierre Azoulay, Olivier Coibion, Will Dobbie, Raymond Fisman, Benjamin R. Handel, Brian A. Jacob, Kareen Rozen, Xiaoxia Shi, Tavneet Suri and Yi Xu

More articles in The Review of Economics and Statistics from MIT Press
Bibliographic data for series maintained by The MIT Press ().