A Distribution Transition Method for Extreme Responses in Recreation Survey Data

Ashley Barfield and J Shonkwiler

No 235670, 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts from Agricultural and Applied Economics Association

Abstract: Revealed preference methods require survey data on past resource use, and numerous studies have found reported recreation frequency to be overestimated and concentrated on prototype (rounded and calendar-based) values. This paper develops an approach to treat extreme values and rounded responses in survey datasets and thereby improve model fit and resulting welfare estimates. We illustrate how, when modeling single-site trip data, model fit can be improved by transitioning from a discrete to a continuous distribution at a cut-point where response behavior begins to exhibit rounding. We feel this method will be useful for recreation demand research and may have broad applicability to the general analysis of count data.

Keywords: Environmental Economics and Policy; Research Methods/ Statistical Methods (search for similar items in EconPapers)
Pages: 19
Date: 2016-05
New Economics Papers: this item is included in nep-ecm
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea16:235670

DOI: 10.22004/ag.econ.235670

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