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Intercept and Recall: Examining Avidity Carryover in On-Site Collected Travel Data

Author

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  • Klaus Moeltner

    () (Department of Resource Economics, University of Nevada, Reno)

  • J. Scott Shonkweiler

    (Department of Resource Economics, University of Nevada, Reno)

Abstract

This study examines the proper estimation of trip demand and economic benefits for visitors to recreation sites when past-season trip information is elicited from travelers intercepted on-site. We show that the proper weighting of past season counts is different from the standard on-site correction appropriate for current-season counts. We find that for our sample of lake visitors relatively stronger preference or “avidity” for the interview site carries over across seasons. We further show that using the correct weighting of past trip counts is critical in deriving meaningful estimates of travel demand and economic benefits.

Suggested Citation

  • Klaus Moeltner & J. Scott Shonkweiler, 2007. "Intercept and Recall: Examining Avidity Carryover in On-Site Collected Travel Data," Working Papers 07-014, University of Nevada, Reno, Department of Economics;University of Nevada, Reno , Department of Resource Economics.
  • Handle: RePEc:unr:wpaper:07-014
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    File URL: http://www.business.unr.edu/econ/wp/papers/UNRECONWP07014.pdf
    File Function: First version, 2007
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    References listed on IDEAS

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    5. J. Shonkwiler & Nick Hanley, 2003. "A New Approach to Random Utility Modeling using the Dirichlet Multinomial Distribution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 26(3), pages 401-416, November.
    6. Moeltner, Klaus, 2003. "Addressing aggregation bias in zonal recreation models," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 128-144, January.
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    11. Jeffrey Englin & Peter Boxall & David Watson, 1998. "Modeling Recreation Demand in a Poisson System of Equations: An Analysis of the Impact of International Exchange Rates," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(2), pages 255-263.
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    Cited by:

    1. Hynes, Stephen & Greene, William, 2011. "Estimating recreation demand with on-site panel data: An application of a latent class truncated and endogenously stratified count data model," Working Papers 148925, Socio-Economic Marine Research Unit, National University of Ireland, Galway.
    2. Stephen Hynes & William Greene, 2013. "A Panel Travel Cost Model Accounting for Endogenous Stratification and Truncation: A Latent Class Approach," Land Economics, University of Wisconsin Press, vol. 89(1), pages 177-192.
    3. Hynes, Stephen & Greene, William, 2012. "Panel Travel Cost Count Data Models for On-Site Samples that Incorporate Unobserved Heterogeneity with Respect to the Impact of the Explanatory Variables," Working Papers 148834, Socio-Economic Marine Research Unit, National University of Ireland, Galway.

    More about this item

    Keywords

    On-site Sampling; Recreation Demand Systems; Poisson-Lognormal Distribution; Simulated Maximum Likelihood;

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources

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