Recreation Survey Response Data: Patterns and Problems

J Shonkwiler and Ashley Barfield

No 204868, 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California from Agricultural and Applied Economics Association

Abstract: Systematic biases in reporting past behavior may compromise the methods used to derive values from revealed preference data. Recreational survey response data is routinely plagued by three problems: an abundance of zeros due to non-participation (the “excess-zero” problem), response “heaping”, and “leaping” of responses (issues resulting from recall bias). To simultaneously address these issues in the discrete data context, we consider several different specifications of the negative binomial estimator of recreation demand. We find that the negative binomial model’s fit is significantly improved by reassigning heaped responses to censored regimes where reported trip numbers form the intervals’ upper-bounds. To this end, we illustrate how employing the incomplete beta function to represent the cumulative distribution function of the negative binomial distribution simplifies the incorporation of censored intervals.

Keywords: Research Methods/Statistical Methods; Resource/Energy Economics and Policy (search for similar items in EconPapers)
Pages: 20
Date: 2015
New Economics Papers: this item is included in nep-ecm
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea15:204868

DOI: 10.22004/ag.econ.204868

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