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A Semiparametric Smooth Coefficient Estimator for Recreation Demand

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  • Liu, Weiwei
  • Egan, Kevin J

Abstract

We introduce a semiparametric smooth coefficient estimator for recreation demand data that allows more flexible modeling of preference heterogeneity. We show that our sample of visitors each has an individual statistically significant price coefficient estimate leading to clearly nonparametric consumer surplus and willingness to pay (WTP) distributions. We also show mean WTP estimates that are different in economically meaningful ways for every demographic variable we have for our sample of beach visitors. This flexibility is valuable for future researchers who can include any variables of interest beyond the standard demographic variables we have included here. And the richer results, price elasticities, consumer surplus and WTP estimates, are valuable to planners and policymakers who can easily see how all these estimates vary with characteristics of the population of interest.

Suggested Citation

  • Liu, Weiwei & Egan, Kevin J, 2019. "A Semiparametric Smooth Coefficient Estimator for Recreation Demand," MPRA Paper 95294, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:95294
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    2. Spence, Danielle S. & Schuster-Wallace, Corinne J. & Lloyd-Smith, Patrick, 2023. "Disparities in economic values for nature-based activities in Canada," Ecological Economics, Elsevier, vol. 205(C).

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    More about this item

    Keywords

    Consumer surplus; recreation demand; semiparametric model; travel cost; willingess to pay;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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