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Analysis of choice inconsistencies in on-line choice experiments: impact on welfare measures

Author

Listed:
  • Sergio Colombo
  • Klaus Glenk
  • Beatriz Rocamora-Montiel

Abstract

Individuals answering to choice experiments (CEs) are assumed to behave in concordance with standard utility theory. However, empirical evidence finds that these assumptions are frequently violated, impacting on willingness to pay (WTP) estimates. Because the cost attribute plays a key role in CEs used for environmental valuation, this study focuses on the impact of inconsistent choices with respect to cost on WTP, drawing on data from a survey aimed at valuing the environmental and social impacts of organic farming in mountainous olive orchards. An iterative process is used to identify inconsistent choices. Results provide sufficient evidence to suggest that inconsistencies can considerably bias WTP estimates. We propose that identifying and considering inconsistent choices enhances realism and accuracy of the conclusions drawn from CEs in environmental valuation.

Suggested Citation

  • Sergio Colombo & Klaus Glenk & Beatriz Rocamora-Montiel, 2016. "Analysis of choice inconsistencies in on-line choice experiments: impact on welfare measures," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(2), pages 271-302.
    • Handle: RePEc:oup:erevae:v:43:y:2016:i:2:p:271-302.
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    File URL: http://hdl.handle.net/10.1093/erae/jbv016
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    Cited by:

    1. Glenk, Klaus & Meyerhoff, Jürgen & Colombo, Sergio & Faccioli, Michela, 2024. "Enhancing the face validity of choice experiments: A simple diagnostic check," Ecological Economics, Elsevier, vol. 221(C).
    2. Espinosa-Goded, María & Rodriguez-Entrena, Macario & Salazar-Ordóñez, Melania, 2021. "A straightforward diagnostic tool to identify attribute non-attendance in discrete choice experiments," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 211-226.
    3. Chavez, Daniel E. & Palma, Marco A. & Nayga Jr., Rodolfo M., 2017. "When does real become consequential in non-hypothetical choice experiments?," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266327, Southern Agricultural Economics Association.
    4. 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.
    5. Rodríguez-Entrena, Macario & Villanueva, Anastasio J. & Gómez-Limón, José A., 2017. "The effect of attribute non-attendance on choice experiments investigating agri-environmental scheme design," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261417, European Association of Agricultural Economists.
    6. Macario Rodríguez‐Entrena & Anastasio J. Villanueva & José A. Gómez‐Limón, 2019. "Unraveling determinants of inferred and stated attribute nonattendance: Effects on farmers’ willingness to accept to join agri‐environmental schemes," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 67(1), pages 31-52, March.
    7. Rid, Wolfgang & Haider, Wolfgang & Ryffel, Andrea & Beardmore, Ben, 2018. "Visualisations in Choice Experiments: Comparing 3D Film-sequences and Still-images to Analyse Housing Development Alternatives," Ecological Economics, Elsevier, vol. 146(C), pages 203-217.
    8. Oehlmann, Malte & Glenk, Klaus & Lloyd-Smith, Patrick & Meyerhoff, Jürgen, 2021. "Quantifying landscape externalities of renewable energy development: Implications of attribute cut-offs in choice experiments," Resource and Energy Economics, Elsevier, vol. 65(C).
    9. 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.

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