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The Fast Decay Process in Outdoor Recreational Activities and the Use of Alternative Count Data Models

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  • Rakhal Sarker
  • Yves Surry

Abstract

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. Copyright 2004, Oxford University Press.

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  • Rakhal Sarker & Yves Surry, 2004. "The Fast Decay Process in Outdoor Recreational Activities and the Use of Alternative Count Data Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(3), pages 701-715.
    • Handle: RePEc:oup:ajagec:v:86:y:2004:i:3:p:701-715
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    File URL: http://hdl.handle.net/10.1111/j.0002-9092.2004.00612.x
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    Citations

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    Cited by:

    1. Nakatani, Tomoaki & Sato, Kazuo, 2005. "Truncation and Endogenous Stratification in Various Count Data Models for Recreation Demand Analysis," SSE/EFI Working Paper Series in Economics and Finance 615, Stockholm School of Economics.
    2. Katsuhito Nohara & Masaki Narukawa, 2015. "Measuring lost recreational benefits in Fukushima due to harmful rumors using a Poisson-inverse Gaussian regression?," ERSA conference papers ersa15p344, European Regional Science Association.
    3. Hess, Sebastian & Bolos, Laura A. & Hoffmann, Ruben & Surry, Yves, 2014. "Is animal welfare better on small farms? Evidence from veterinary inspections on Swedish farms," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182781, European Association of Agricultural Economists.
    4. Katsuhito Nohara, 2014. "Economic Valuation of the Damage to Tourism Benefits by Eastern Japan Great Earthquake Disaster," ERSA conference papers ersa14p1017, European Regional Science Association.
    5. Isabel Proenca & Isabel Menes, 2000. "Measuring the Average Per Day Net Benefit of Non-consumptive Wildlife - Associated Recreation For a National Park: a Count-Data Travel Cost Approach," Regional and Urban Modeling 283600078, EcoMod.
    6. Edwin Muchapondwa & Eyoual Demeke & Samson Mukanjari, 2018. "Recreation Demand and Optimal Pricing for International Visitors to Kruger National Park," Working Papers 743, Economic Research Southern Africa.
    7. Isabel Mendes & Isabel Proença, 2009. "Measuring the Social Recreation Per-Day Net Benefit of Wildlife Amenities of a National Park: A Count-Data Travel Cost Approach," Working Papers Department of Economics 2009/35, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    8. Kuei-Mei Cheng & Chin-Hsien Hsu & Chin-Huang Huang, 2012. "A Study on the application of 6-Sigma on the enhancement of service quality of fitness club," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(2), pages 705-713, February.

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