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A Distribution Transition Method for Extreme Responses in Recreation Survey Data

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  • Barfield, Ashley
  • Shonkwiler, J. Scott

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.

Suggested Citation

  • Barfield, Ashley & Shonkwiler, J. Scott, 2016. "A Distribution Transition Method for Extreme Responses in Recreation Survey Data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235670, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea16:235670
    DOI: 10.22004/ag.econ.235670
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    References listed on IDEAS

    as
    1. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273.
    2. Bebu, Ionut & Mathew, Thomas, 2009. "Confidence intervals for limited moments and truncated moments in normal and lognormal models," Statistics & Probability Letters, Elsevier, vol. 79(3), pages 375-380, February.
    3. Shonkwiler, J. Scott & Barfield, Ashley, 2015. "Recreation Survey Response Data: Patterns and Problems," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 204868, Agricultural and Applied Economics Association.
    Full references (including those not matched with items on IDEAS)

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    Environmental Economics and Policy; Research Methods/ Statistical Methods;

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