IDEAS home Printed from https://ideas.repec.org/a/sae/toueco/v14y2008i3p567-576.html
   My bibliography  Save this article

Comparing Recreation Benefits from On-Site versus Household Surveys in Count Data Travel Cost Demand Models with Overdispersion

Author

Listed:
  • Roberto Martínez-Espiñeira

    (Economics Department, St Francis University, PO Box 5000, Antigonish, Nova Scotia B2G2W5, Canada)

  • John B. Loomis

    (Department of Agricultural and Resource Economics, Colorado State University, Fort Collins, CO, USA)

  • Joe Amoako-Tuffour

    (Economics Department, St Francis University, Nova Scotia, Canada)

  • Joseph M. Hilbe

    (School of Social and Family Dynamics, Arizona State University, USA)

Abstract

On-site surveys of tourists often lead to overestimates of annual tourism because tourists who are frequent repeat visitors are more likely to be sampled. This unrepresentative sample leads to statistical problems known as ‘truncation’ and ‘endogenous stratification’ in widely used travel cost demand models. Further, wide variation in the number of on-site visits among tourists can lead to overdispersion in the dependent variable of count data travel cost models. The authors present the first real-world data correction for all three problems and compare the corrected estimates with the ideal household survey. Correcting for truncation and endogenous stratification in a count data specification allowing for overdispersion (negative binomial specification) lowers the demand and benefit estimate to a mean value not significantly different from the household estimate. If tourism researchers wish to develop visitor use estimates from on-site surveys consistent with household level surveys, the authors' improved demand estimators would allow them to do so with some confidence in the results.

Suggested Citation

  • Roberto Martínez-Espiñeira & John B. Loomis & Joe Amoako-Tuffour & Joseph M. Hilbe, 2008. "Comparing Recreation Benefits from On-Site versus Household Surveys in Count Data Travel Cost Demand Models with Overdispersion," Tourism Economics, , vol. 14(3), pages 567-576, September.
    • Handle: RePEc:sae:toueco:v:14:y:2008:i:3:p:567-576
    DOI: 10.5367/000000008785633532
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5367/000000008785633532
    Download Restriction: no
    File URL: https://libkey.io/10.5367/000000008785633532?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Timothy C. Haab & Kenneth E. McConnell, 2002. "Valuing Environmental and Natural Resources," Books, Edward Elgar Publishing, number 2427.
    2. Shaw, Daigee, 1988. "On-site samples' regression : Problems of non-negative integers, truncation, and endogenous stratification," Journal of Econometrics, Elsevier, vol. 37(2), pages 211-223, February.
    3. Shrestha, Ram K. & Seidl, Andrew F. & Moraes, Andre S., 2002. "Value of recreational fishing in the Brazilian Pantanal: a travel cost analysis using count data models," Ecological Economics, Elsevier, vol. 42(1-2), pages 289-299, August.
    4. Dietrich Earnhart, 2004. "Time is Money: Improved Valuation of Time and Transportation Costs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 29(2), pages 159-190, October.
    5. Dominic Moran & Esmond Tresidder & Alistair McVittie, 2006. "Estimating the Recreational Value of Mountain Biking Sites in Scotland Using Count Data Models," Tourism Economics, , vol. 12(1), pages 123-135, March.
    6. Michael D. Creel & John B. Loomis, 1990. "Theoretical and Empirical Advantages of Truncated Count Data Estimators for Analysis of Deer Hunting in California," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 434-441.
    7. Englin, Jeffrey & Shonkwiler, J S, 1995. "Estimating Social Welfare Using Count Data Models: An Application to Long-Run Recreation Demand under Conditions of Endogenous Stratification and Truncation," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 104-112, February.
    8. Chia-Yu Yeh & Timothy Haab & Brent Sohngen, 2006. "Modeling Multiple-Objective Recreation Trips with Choices Over Trip Duration and Alternative Sites," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(2), pages 189-209, June.
    9. Manski, Charles F & Lerman, Steven R, 1977. "The Estimation of Choice Probabilities from Choice Based Samples," Econometrica, Econometric Society, vol. 45(8), pages 1977-1988, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peypoch, Nicolas & Randriamboarison, Rado & Rasoamananjara, Fy & Solonandrasana, Bernardin, 2012. "The length of stay of tourists in Madagascar," Tourism Management, Elsevier, vol. 33(5), pages 1230-1235.
    2. Brida, Juan Gabriel & Monterubbianesi, Pablo Daniel & Zapata Aguirre, Sandra, 2012. "Análisis de los factores que afectan la repetición de la visita a una atracción cultural: una aplicación al museo de Antioquia [Analysis of factors affecting repeat visit to a cultural attraction: ," MPRA Paper 37622, University Library of Munich, Germany.
    3. Farr, Marina & Stoeckl, Natalie & Sutton, Stephen, 2014. "Recreational fishing and boating: Are the determinants the same?," Marine Policy, Elsevier, vol. 47(C), pages 126-137.
    4. Pascoe, Sean, 2019. "Recreational beach use values with multiple activities," Ecological Economics, Elsevier, vol. 160(C), pages 137-144.
    5. Juan Brida & Juan Pereyra & Raffaele Scuderi, 2014. "Repeat tourism in Uruguay: modelling truncated distributions of count data," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 475-491, January.
    6. JG. Brida & M. Meleddu & M. Pulina, 2011. "An urban icon? The case of the Iceman Ötzi," Working Paper CRENoS 201105, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    7. Hynes, Stephen & Gaeven Rainey, & O’Reilly, Paul, 2016. "Estimating the demand for Sea Angling in Irish Waters using on-site travel cost models," Working Papers 262595, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    8. Roberto Martinez-Espineira & Joe Amoako-Tuffour, 2008. "Multi-destination and multi-purpose trip effects in the analysis of the demand for trips to a remote recreational site," EERI Research Paper Series EERI_RP_2008_19, Economics and Econometrics Research Institute (EERI), Brussels.
    9. Hynes, Stephen & O'Reilly, Paul & Corless, Rebecca, 2015. "A comparison of an on-site versus a household survey approach to modelling the demand for recreational angling," Working Papers 262591, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    10. Mahadev Bhat & Ramachandra Bhatta & Mohamed Shumais, 2014. "Sustainable funding policies for environmental protection: the case of Maldivian atolls," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 16(1), pages 45-67, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Roberto Martinez-Espineira & Joe Amoako-Tuffour, 2005. "Recreation Demand Analysis under Truncation, Overdispersion, and Endogenous Stratification: An Application to Gros Morne National Park," Econometrics 0511007, University Library of Munich, Germany.
    3. Doshi, Amar & Pascoe, Sean, 2013. "Investigating the effects of sample heterogeneity on the travel cost model for coral diving in Southeast Asia," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152146, Australian Agricultural and Resource Economics Society.
    4. Prayaga, Prabha, 2017. "Estimating the value of beach recreation for locals in the Great Barrier Reef Marine Park, Australia," Economic Analysis and Policy, Elsevier, vol. 53(C), pages 9-18.
    5. Roberto Martinez-Espineira & Joe Amoako-Tuffour, 2008. "Multi-destination and multi-purpose trip effects in the analysis of the demand for trips to a remote recreational site," EERI Research Paper Series EERI_RP_2008_19, Economics and Econometrics Research Institute (EERI), Brussels.
    6. Pascoe, Sean, 2019. "Recreational beach use values with multiple activities," Ecological Economics, Elsevier, vol. 160(C), pages 137-144.
    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. Hynes, Stephen & Gaeven Rainey, & O’Reilly, Paul, 2016. "Estimating the demand for Sea Angling in Irish Waters using on-site travel cost models," Working Papers 262595, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    9. Ovaskainen, Ville & Neuvonen, Marjo & Pouta, Eija, 2012. "Modelling recreation demand with respondent-reported driving cost and stated cost of travel time: A Finnish case," Journal of Forest Economics, Elsevier, vol. 18(4), pages 303-317.
    10. 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.
    11. Anthony Amoah & Peter G. Moffatt, 2017. "Estimating demand for reliable piped-water services in urban Ghana: An application of competing valuation approaches," University of East Anglia School of Economics Working Paper Series 2017-01, School of Economics, University of East Anglia, Norwich, UK..
    12. Cetin, Nuket Ipek & Bourget, Gulhan & Tezer, Azime, 2021. "Travel-cost method for assessing the monetary value of recreational services in the Ömerli Catchment," Ecological Economics, Elsevier, vol. 190(C).
    13. Mohammad Younus Bhat & Mohammad Sultan Bhatt, 2019. "Economic valuation of biodiversity in South Asia: The case of Dachigam National Park in Jammu and Kashmir (India)," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 6(1), pages 59-72, January.
    14. Erik Wallentin, 2016. "Choice of the angler," Tourism Economics, , vol. 22(6), pages 1338-1351, December.
    15. 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.
    16. Simões, Paula & Barata, Eduardo & Cruz, Luís, 2013. "Joint estimation using revealed and stated preference data: An application using a national forest," Journal of Forest Economics, Elsevier, vol. 19(3), pages 249-266.
    17. Hynes, Stephen & Gaeven, Rainey & O'Reilly, Paul, 2017. "Estimating a Total Demand Function for Sea Angling Pursuits," Ecological Economics, Elsevier, vol. 134(C), pages 73-81.
    18. Mahadev Bhat & Ramachandra Bhatta & Mohamed Shumais, 2014. "Sustainable funding policies for environmental protection: the case of Maldivian atolls," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 16(1), pages 45-67, January.
    19. John Cullinan & Stephen Hynes & Cathal O’Donoghue, 2008. "Aggregating Consumer Surplus Values in Travel Cost Modelling Using Spatial Microsimulation and GIS Techniques," Working Papers 0807, Rural Economy and Development Programme,Teagasc.
    20. Paul Mwebaze & Jeff Bennett, 2012. "Valuing Australian botanic collections: a combined travel-cost and contingent valuation study," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 498-520, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:toueco:v:14:y:2008:i:3:p:567-576. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.