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Protest Adjustments in the Valuation of Watershed Restoration Using Payment Card Data

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  • Collins, Alan R.
  • Rosenberger, Randall S.

Abstract

When using a willingness-to-pay (WTP) format in contingent valuation (CV) to value watershed restoration, respondents may protest by questioning why they should pay to clean up a pollution problem that someone else created. Using a sample selection interval data model based on Bhat (1994) and Brox, Kumar, and Stollery (2003), we found that the decision to protest and WTP values were correlated. Protest sample selection bias resulted in a 300 percent overestimate of mean WTP per respondent. Using different ad hoc treatments of protesters, protest bias resulted in moderate effects (−10 percent to +14 percent) after controlling for sample selection bias.

Suggested Citation

  • Collins, Alan R. & Rosenberger, Randall S., 2007. "Protest Adjustments in the Valuation of Watershed Restoration Using Payment Card Data," Agricultural and Resource Economics Review, Cambridge University Press, vol. 36(2), pages 321-335, October.
  • Handle: RePEc:cup:agrerw:v:36:y:2007:i:02:p:321-335_00
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    Cited by:

    1. Robert J. Johnston & Elena Y. Besedin & Benedict M. Holland, 2019. "Modeling Distance Decay Within Valuation Meta-Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(3), pages 657-690, March.
    2. Brouwer, Roy & Martín-Ortega, Julia, 2012. "Modeling self-censoring of polluter pays protest votes in stated preference research to support resource damage estimations in environmental liability," Resource and Energy Economics, Elsevier, vol. 34(1), pages 151-166.
    3. Khatri-Chhetri, Arun & Collins, Alan R., 2011. "Estimation of a Surface Water Quality Valuation Index for the Appalachian Region," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103653, Agricultural and Applied Economics Association.
    4. Robert J. Johnston & Elena Y. Besedin & Ryan Stapler, 2017. "Enhanced Geospatial Validity for Meta-analysis and Environmental Benefit Transfer: An Application to Water Quality Improvements," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(2), pages 343-375, October.

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