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Combining Actual and Contingent Behavior to Estimate the Value of Sports Fishing in the Lagoon of Venice

  • Anna Alberini

    (University of Maryland)

  • Valentina Zanatta

    (DICAS, Politecnico di Torino and Fondazione Eni Enrico Mattei)

  • Paolo Rosato

    (DIC, Università di Trieste and Fondazione Eni Enrico Mattei)

This paper reports the results of a Travel Cost Method (TCM) study about the recreational use of the Lagoon of Venice for sports fishing. In April-July 2002, we conducted a mail survey of anglers with valid licenses fishing on the Lagoon of Venice to gather data on their fishing trips, behaviors and expenditures over the previous year. We also asked questions about trips that would be undertaken under hypothetical changes in the price of a trip and/or in the catch rate. Actual and hypothetical trips are combined to estimate single-site TCM demand function for trips. We propose several models to test whether it is acceptable to pool hypothetical and actual trip data, focusing on the respondent heterogeneity in the contingent behavior questions. Our models suggest actual and contingent behavior are driven by the same demand function, and can be pooled for estimation purposes. We use this estimated demand function, and its shift when the catch rate is improved, to compute angler surplus at the current catch rate and the change in surplus accruing from a 50% improvement in the catch rate. For the average angler in our sample, the former is about €1,700 a year, while the latter is about €2,800.

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Paper provided by Fondazione Eni Enrico Mattei in its series Working Papers with number 2005.44.

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Date of creation: Mar 2005
Date of revision:
Handle: RePEc:fem:femwpa:2005.44
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  1. Azevedo, Christopher D. & Herriges, Joseph A. & Kling, Catherine L., 2003. "Combining Revealed and Stated Preferences: Consistency Tests and Their Interpretations," Staff General Research Papers 10173, Iowa State University, Department of Economics.
  2. Alberini, Anna & Zanatta, Valentina & Rosato, Paolo, 2007. "Combining actual and contingent behavior to estimate the value of sports fishing in the Lagoon of Venice," Ecological Economics, Elsevier, vol. 61(2-3), pages 530-541, March.
  3. John C. Whitehead & Timothy C. Haab & Ju-Chin Huang, 1999. "Measuring Recreation Benefits of Quality Improvements with Revealed and Stated Behavior Data," Working Papers 9902, East Carolina University, Department of Economics.
  4. Loomis, John B., 1997. "Panel Estimators To Combine Revealed And Stated Preference Dichotomous Choice Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 22(02), December.
  5. Nick Hanley & David Bell & Begona Alvarez-Farizo, 2003. "Valuing the Benefits of Coastal Water Quality Improvements Using Contingent and Real Behaviour," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 24(3), pages 273-285, March.
  6. Feather, Peter & Shaw, W. Douglass, 1998. "Estimating The Cost Of Leisure Time For Recreation Demand Models," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20855, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  7. Feather, Peter M & Shaw, W Douglas, 2000. "The Demand for Leisure Time in the Presence of Constrained Work Hours," Economic Inquiry, Western Economic Association International, vol. 38(4), pages 651-61, October.
  8. Frank J. Cesario, 1976. "Value of Time in Recreation Benefit Studies," Land Economics, University of Wisconsin Press, vol. 52(1), pages 32-41.
  9. W. Douglass Shaw, 2002. "Testing the Validity of Contingent Behavior Trip Responses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 401-414.
  10. Whitehead, John C., 2005. "Combining willingness to pay and behavior data with limited information," Resource and Energy Economics, Elsevier, vol. 27(2), pages 143-155, June.
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