Surry, Yves
- Department of Economics, Swedish University of Agricultural Sciences
Abstract
Despite a number of significant advances in count data modeling during the last two decades and the growing popularity of these models in recreation demand analysis, standard count data models are inadequate to address the fast decay process of the dependent variable and the associated long tail. This article demonstrates how one and two-parameter alternative count data models can be used to properly model the fast decay process and the associated long tail commonly observed in recreation demand analysis. Econometric results from an illustrative application suggest satisfactory performance of four of the eight alternative count data models proposed in this article.
Keywords
alternative count data models; fast decay process; recreation demand analysis
Published in
American Journal of Agricultural Economics
2004, volume: 86, number: 3, pages: 701-715
Publisher: BLACKWELL PUBLISHERS
SLU Authors
UKÄ Subject classification
Economics
Publication identifier
- DOI: https://doi.org/10.1111/j.0002-9092.2004.00612.x
Permanent link to this page (URI)
https://res.slu.se/id/publ/3115