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Testing for hypothetical bias in willingness to support a reforestation program

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  • Krawczyk, Michał

Abstract

This study measures hypothetical bias in CVM-based estimates of willingness to support a forest protection and restoration program in Poland. It does so in two parallel ways: within- and between-subjects. To this end, participants are asked to vote in a referendum on an NGO-led reforestation project for various per-capita cost levels. They do so either directly or, as a surprise continuation, after a hypothetical analogue. Both methods deliver a similar (and substantial) level of hypothetical bias – it is slightly higher, but not significantly so, in the between-subject comparison. This suggests that hypothetical bias in this context is not primarily driven by such factors as consistency seeking or impression management.

Suggested Citation

  • Krawczyk, Michał, 2012. "Testing for hypothetical bias in willingness to support a reforestation program," Journal of Forest Economics, Elsevier, vol. 18(4), pages 282-289.
    • Handle: RePEc:eee:foreco:v:18:y:2012:i:4:p:282-289
    DOI: 10.1016/j.jfe.2012.07.003
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    1. Atozou, Baoubadi & Tamini, Lota D. & Bergeronm, Stephane & Doyon, Maurice, 2020. "Factors Explaining the Hypothetical Bias: How to Improve Models for Meta-Analyses," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 45(2), March.
    2. Piotr Ćwiakowski & Marek Giergiczny & Michał Krawczyk, 2013. "Pirates in the lab. Using incentivized choice experiments to explore preference for (un)authorized content," Working Papers 2013-25, Faculty of Economic Sciences, University of Warsaw.
    3. Ewa Zawojska & Mikołaj Czajkowski, 2015. "Re-examining empirical evidence on contingent valuation – Importance of incentive compatibility," Working Papers 2015-08, Faculty of Economic Sciences, University of Warsaw.
    4. José L. Oviedo & Hong Il Yoo, 2017. "A Latent Class Nested Logit Model for Rank-Ordered Data with Application to Cork Oak Reforestation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(4), pages 1021-1051, December.
    5. Fabio Verneau & Francesco La Barbera & Teresa Del Giudice, 2017. "The Role of Implicit Associations in the Hypothetical Bias," Journal of Consumer Affairs, Wiley Blackwell, vol. 51(2), pages 312-328, July.
    6. Oviedo, José L. & Caparrós, Alejandro, 2015. "Information and visual attention in contingent valuation and choice modeling: field and eye-tracking experiments applied to reforestations in Spain," Journal of Forest Economics, Elsevier, vol. 21(4), pages 185-204.
    7. Czajkowski, Mikołaj & Bartczak, Anna & Giergiczny, Marek & Navrud, Stale & Żylicz, Tomasz, 2014. "Providing preference-based support for forest ecosystem service management," Forest Policy and Economics, Elsevier, vol. 39(C), pages 1-12.

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    More about this item

    Keywords

    Contingent valuation; Experimental methodology; Hypothetical bias; Matching; Reforestation;
    All these keywords.

    JEL classification:

    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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