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Comparing Water Quality Valuation Across Probability and Non-Probability Samples

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  • Sandstrom, Kaitlynn M.A.
  • Lupi, Frank

Abstract

We compare water quality valuation results from a probability sample and two opt‐in non‐probability samples, MTurk and Qualtrics. The samples differ in some key demographics, but measured attitudes are strikingly similar. For valuation models, most parameters were significantly different across samples, yet many of the marginal willingness to pay were similar across samples. Notably, for non‐marginal changes there were some differences by samples: MTurk values were always significantly greater than the probability sample, as were Qualtrics values for changes up to about a 20% improvement. Overall, the evidence is mixed, with some key differences but many similarities across samples.
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Suggested Citation

  • Sandstrom, Kaitlynn M.A. & Lupi, Frank, 2021. "Comparing Water Quality Valuation Across Probability and Non-Probability Samples," 2021 Annual Meeting, August 1-3, Austin, Texas 312913, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea21:312913
    DOI: 10.22004/ag.econ.312913
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    File URL: https://ageconsearch.umn.edu/record/312913/files/Sandstrom%20et%20al_AAEA_2021_revised-7-30-21.pdf
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    2. Plaga, Leonie Sara & Lynch, Muireann & Curtis, John & Bertsch, Valentin, 2024. "How public acceptance affects power system development—A cross-country analysis for wind power," Applied Energy, Elsevier, vol. 359(C).
    3. Curtis, John & Grilli, Gianluca & Lynch, Muireann Á, 2024. "Residential renovations: understanding cost-disruption trade-offs," Papers WP776, Economic and Social Research Institute (ESRI).
    4. Lika, Elisabeta & Belcher, Ken & Jardine, Tim & Liebenehm, Sabine & Lloyd-Smith, Patrick & Strickert, Graham, 2025. "The economic value of improving the ecological condition of the Saskatchewan River Delta, Canada," Ecosystem Services, Elsevier, vol. 75(C).

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