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Testing the single opt-out reminder in choice experiments: An application to fuel break management in Spain

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  • Varela, Elsa
  • Mahieu, Pierre-Alexandre
  • Giergiczny, Marek
  • Riera, Pere
  • Soliño, Mario

Abstract

Cheap talk (CT) scripts have been broadly tested in contingent valuation studies to mitigate the effects of hypothetical bias. However, this approach may not fully be adequate when the individual is faced with several choices such as in discrete choice experiments (DCE) because the respondent may tend to forget about the CT script. This paper tests the effects of a single opt-out reminder (SOOR) to lower the hypothetical bias in a DCE dealing with the valuation of social preferences for forest fire prevention programs in Southern Spain. Results show that the inclusion of a SOOR does not contribute sufficiently to improve the CT effect on the DCE data.

Suggested Citation

  • Varela, Elsa & Mahieu, Pierre-Alexandre & Giergiczny, Marek & Riera, Pere & Soliño, Mario, 2014. "Testing the single opt-out reminder in choice experiments: An application to fuel break management in Spain," Journal of Forest Economics, Elsevier, vol. 20(3), pages 212-222.
    • Handle: RePEc:eee:foreco:v:20:y:2014:i:3:p:212-222
    DOI: 10.1016/j.jfe.2014.05.001
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    Cited by:

    1. Nordén, Anna & Coria, Jessica & Jönsson, Anna Maria & Lagergren, Fredrik & Lehsten, Veiko, 2017. "Divergence in stakeholders' preferences: Evidence from a choice experiment on forest landscapes preferences in Sweden," Ecological Economics, Elsevier, vol. 132(C), pages 179-195.
    2. Martínez-Jauregui, María & White, Piran C.L. & Touza, Julia & Soliño, Mario, 2019. "Untangling perceptions around indicators for biodiversity conservation and ecosystem services," Ecosystem Services, Elsevier, vol. 38(C), pages 1-1.
    3. Varela, Elsa & Kallas, Zein, 2022. "Extensive Mediterranean agroecosystems and their linked traditional breeds: Societal demand for the conservation of the Majorcan black pig," Land Use Policy, Elsevier, vol. 112(C).
    4. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.
    5. Sergio Colombo & Wiktor Budziński & Mikołaj Czajkowski & Klaus Glenk, 2022. "The relative performance of ex‐ante and ex‐post measures to mitigate hypothetical and strategic bias in a stated preference study," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 845-873, September.
    6. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    7. Alló, M. & Loureiro, M.L., 2020. "Assessing preferences for wildfire prevention policies in Spain," Forest Policy and Economics, Elsevier, vol. 115(C).
    8. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
    9. Broberg, Thomas & Daniel, Aemiro Melkamu & Persson, Lars, 2021. "Household preferences for load restrictions: Is there an effect of pro-environmental framing?," Energy Economics, Elsevier, vol. 97(C).
    10. 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.
    11. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods," Papers 2102.02945, arXiv.org.
    12. Misal, Haleema & Varela, Elsa & Voulgarakis, Apostolos & Rovithakis, Anastasios & Grillakis, Manolis & Kountouris, Yiannis, 2023. "Assessing public preferences for a wildfire mitigation policy in Crete, Greece," Forest Policy and Economics, Elsevier, vol. 153(C).
    13. Zhao, Xiaoli & Cai, Qiong & Li, Shujie & Ma, Chunbo, 2018. "Public preferences for biomass electricity in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 242-253.
    14. Sergio Colombo & Wiktor Budziński & Mikołaj Czajkowski & Klaus Glenk, 2020. "Ex-ante and ex-post measures to mitigate hypothetical bias. Are they alternative or complementary tools to increase the reliability and validity of DCE estimates?," Working Papers 2020-20, Faculty of Economic Sciences, University of Warsaw.
    15. Soliño, M. & Alía, R. & Agúndez, D., 2020. "Citizens' preferences for research programs on forest genetic resources: A case applied to Pinus pinaster Ait. in Spain," Forest Policy and Economics, Elsevier, vol. 118(C).
    16. Penn, Jerrod & Hu, Wuyang, 2019. "Cheap talk efficacy under potential and actual Hypothetical Bias: A meta-analysis," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 22-35.

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