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Sammanfattning

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.

Nyckelord

alternative count data models; fast decay process; recreation demand analysis

Publicerad i

American Journal of Agricultural Economics
2004, volym: 86, nummer: 3, sidor: 701-715
Utgivare: BLACKWELL PUBLISHERS

SLU författare

UKÄ forskningsämne

Nationalekonomi

Publikationens identifierare

  • DOI: https://doi.org/10.1111/j.0002-9092.2004.00612.x

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/3115