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Statistical Properties of Welfare Measures from Count-Data Models of Recreation Demand

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  • Steven T. Yen
  • Wiktor L. Adamowicz

Abstract

This article compares estimates and distributions of consumer surplus measures derived from truncated and untruncated count-data models. Large differences between the means and variances of the consumer surplus estimates of the truncated and untruncated models were found. Mathematical approximation provides reasonable estimates of the mean consumer surplus measures, but approximation of the variances is poor due to truncation errors. These findings suggest that consumer surplus measures derived from the truncated estimator should be viewed with caution.

Suggested Citation

  • Steven T. Yen & Wiktor L. Adamowicz, 1993. "Statistical Properties of Welfare Measures from Count-Data Models of Recreation Demand," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 15(2), pages 203-215.
    • Handle: RePEc:oup:revage:v:15:y:1993:i:2:p:203-215.
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    File URL: http://hdl.handle.net/10.2307/1349443
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    1. Bowker, James Michael & Murphy, D. & Cordell, H. Ken & English, Donald B.K. & Bergstrom, John C. & Starbuck, C. Meghan & Betz, Carter J. & Green, Gary T., 2006. "Wilderness and Primitive Area Recreation Participation and Consumption: An Examination of Demographic and Spatial Factors," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 38(2), pages 1-10, August.
    2. GIANNETTI, Caterina, 2007. "Intensity of competition and market structure in the Italian banking industry," LIDAM Discussion Papers CORE 2007041, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Anat Tchetchik, 2015. "Do communication technologies and “migration induced travel” complement or compete with each other?," Letters in Spatial and Resource Sciences, Springer, vol. 8(3), pages 335-356, November.
    4. Gore, Madison & Joshi, Omkar & Chapagain, Binod & Poudyal, Neelam C. & York, Betsey, 2023. "An analysis of economic benefits from wildlife management areas in Oklahoma," Forest Policy and Economics, Elsevier, vol. 150(C).
    5. Lienhoop, Nele & Ansmann, Till, 2011. "Valuing water level changes in reservoirs using two stated preference approaches: An exploration of validity," Ecological Economics, Elsevier, vol. 70(7), pages 1250-1258, May.
    6. Raju Mandal & Subrata Barman & M. P. Bezbaruah, 2014. "Economic Valuation for a better Conservation: A Case Study of Kaziranga National Park, India," Working Papers 1410, Sam Houston State University, Department of Economics and International Business.
    7. Anton Nahman & Dan Rigby, 2008. "Valuing Blue Flag Status And Estuarine Water Quality In Margate, South Africa1," South African Journal of Economics, Economic Society of South Africa, vol. 76(4), pages 721-737, December.
    8. Rai, Rajesh Kumar & Dhakal, Arun & Khadayat, Madan S. & Ranabhat, Sunita, 2017. "Is collaborative forest management in Nepal able to provide benefits to distantly located users?," Forest Policy and Economics, Elsevier, vol. 83(C), pages 156-161.
    9. 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.
    10. 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.
    11. English, Donald B.K., 2000. "A Simple Procedure for Generating Confidence Intervals in Tourist Spending Profiles and Resulting Economic Impacts," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 30(1), pages 1-16.
    12. Yih-Huei Huang & Wen-Han Hwang & Fei-Yin Chen, 2011. "Differential Measurement Errors in Zero-Truncated Regression Models for Count Data," Biometrics, The International Biometric Society, vol. 67(4), pages 1471-1480, December.
    13. Zachary Darby & Neelam Chandra Poudyal & Adam Frakes & Omkar Joshi, 2021. "Economic Analysis of Recreation Access at a Lake Facing Water Crisis due to Municipal Water Demand," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(9), pages 2909-2920, July.
    14. Arwin Pang, 2022. "Investigating heteroscedasticity using the over-dispersion parameter in a travel cost model," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 507-516, December.
    15. Amoako-Tuffour, Joe & Martınez-Espineira, Roberto, 2008. "Leisure and the Opportunity Cost of Travel Time in Recreation Demand Analysis: A Re-Examination," MPRA Paper 8573, University Library of Munich, Germany.
    16. Isabel Mendes & Isabel Proença, 2005. "Estimating the Recreation Value of Ecosystems by Using a Travel Cost Method Approach," Working Papers Department of Economics 2005/08, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.

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