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On the gap between payment card and closed-ended CVM-answers

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  • Franz Hackl
  • Gerald Pruckner

Abstract

The paper presents contingent valuation (CV) estimates of benefits provided by a proposed 'Kalkalpen' National Park in Austria. Although descriptive results of welfare measures are presented, the focus of the paper is on methodological questions concerning the analysis of CV answers. Evidence is given regarding the difference between payment card (PC) answers and closed-ended question formats. Based on different estimation models for CV questions substantial differences are found between closed-ended and payment card welfare measures. On average PC-willingness to pay (WTP) measures are below the closed-ended figures. Since the evaluation models are based on different premises in the calculation of WTP figures a more precise disclosure of the underlying evaluation methods is required if different question formats are compared to one another. Identical assumptions on the probability distributions have to be assumed whenever open- and closed-ended CV welfare measures are compared. Taking theoretical arguments into account the application of the closedended double-bounded Spike model that provides an average welfare measure is recommended.

Suggested Citation

  • Franz Hackl & Gerald Pruckner, 1999. "On the gap between payment card and closed-ended CVM-answers," Applied Economics, Taylor & Francis Journals, vol. 31(6), pages 733-742.
  • Handle: RePEc:taf:applec:v:31:y:1999:i:6:p:733-742
    DOI: 10.1080/000368499323940
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    References listed on IDEAS

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    Cited by:

    1. Pamela Wicker & John C. Whitehead & Bruce K. Johnson & Daniel S. Mason, 2016. "Willingness-To-Pay For Sporting Success Of Football Bundesliga Teams," Contemporary Economic Policy, Western Economic Association International, vol. 34(3), pages 446-462, July.
    2. Franz Hackl & Gerald J. Pruckner, 2005. "Warm glow, free‐riding and vehicle neutrality in a health‐related contingent valuation study," Health Economics, John Wiley & Sons, Ltd., vol. 14(3), pages 293-306, March.
    3. Hu, Wuyang, 2006. "Use of Spike Models in Measuring Consumers' Willingness to Pay for Non-GM Oil," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 38(3), pages 1-14, December.
    4. Erpeng Wang & Ning An & Zhifeng Gao & Emmanuel Kiprop & Xianhui Geng, 2020. "Consumer food stockpiling behavior and willingness to pay for food reserves in COVID-19," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(4), pages 739-747, August.
    5. Marina Farr & Natalie Stoeckl & Michelle Esparon & Silva Larson & Diane Jarvis, 2016. "The Importance of Water Clarity to Great Barrier Reef Tourists and Their Willingness to Pay to Improve it," Tourism Economics, , vol. 22(2), pages 331-352, April.
    6. Rong-Chang Jou & Yuan-Chan Wu & Ke-Hong Chen, 2011. "Analysis of the environmental benefits of a motorcycle idling stop policy at urban intersections," Transportation, Springer, vol. 38(6), pages 1017-1033, November.
    7. Elsasser, Peter & Meyerhoff, Jürgen & Montagné, Claire & Stenger, Anne, 2009. "A bibliography and database on forest benefit valuation studies from Austria, France, Germany, and Switzerland - A possible base for a concerted European approach," Journal of Forest Economics, Elsevier, vol. 15(1-2), pages 93-107, January.
    8. Sara Olofsson & Ulf G. Gerdtham & Lars Hultkrantz & Ulf Persson, 2019. "Dread and Risk Elimination Premium for the Value of a Statistical Life," Risk Analysis, John Wiley & Sons, vol. 39(11), pages 2391-2407, November.
    9. Dorte Gyrd‐Hansen & Mette Lundsby Jensen & Trine Kjaer, 2014. "Framing The Willingness‐To‐Pay Question: Impact On Response Patterns And Mean Willingness To Pay," Health Economics, John Wiley & Sons, Ltd., vol. 23(5), pages 550-563, May.
    10. Elsasser, Peter & Meyerhoff, Jürgen & Weller, Priska, 2016. "An updated bibliography and database on forest ecosystem service valuation studies in Austria, Germany and Switzerland," Thünen Working Papers 65, Johann Heinrich von Thünen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries.
    11. Johannes Reichl & Sylvia Frühwirth-Schnatter, 2012. "A censored random coefficients model for the detection of zero willingness to pay," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 259-281, June.
    12. Farr, Marina & Stoeckl, Natalie & Alam Beg, Rabiul, 2014. "The non-consumptive (tourism) ‘value’ of marine species in the Northern section of the Great Barrier Reef," Marine Policy, Elsevier, vol. 43(C), pages 89-103.
    13. Stephanie Simpson & Brid Gleeson Hanna, 2010. "Willingness to pay for a clear night sky: use of the contingent valuation method," Applied Economics Letters, Taylor & Francis Journals, vol. 17(11), pages 1095-1103.
    14. Bart Neuts, 2020. "Mixed pricing strategies in museums: Examining the potential of voluntary contributions for capturing consumer surplus," Tourism Economics, , vol. 26(1), pages 115-136, February.
    15. Yu, Xiaohua & Gao, Zhifeng & Zeng, Yinchu, 2014. "Willingness to pay for the “Green Food” in China," Food Policy, Elsevier, vol. 45(C), pages 80-87.

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