Cited by 42Economic and Environmental ValuationSurvey Methodology and NonresponseDecision-Making and Behavioral Economics

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Hypothetical bias mitigation in representative and convenience samples

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Penn, Jerrod M., Petrolia, Daniel R., Fannin, J. Matthew·2023·Applied Economic Perspectives and Policy

Abstract

This is a case study comparing outcomes for a probability‐based representative sample versus a non‐probability convenience sample for the valuation of beach condition information among Gulf of Mexico residents. We test the efficacy of several techniques used to adjust for hypothetical bias and sample weighting to reduce hypothetical willingness to pay (WTP). Weighting makes the WTP between the two samples similar, but model equivalence with respect to the significance of explanatory variables is rejected. The results support the use of certainty follow‐ups, which consistently reduced WTP, regardless of the sampling approach or weighting.

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Metadata

Authors
Penn, J. M., Petrolia, D. R., & Fannin, J. M.
Affiliations
  • Louisiana State University (US)
  • Mississippi State University (US)
Corresponding author
Penn, Jerrod M.
Venue
Applied Economic Perspectives and Policy
Publisher
Wiley
Published
2023-05-18
Volume
45
Issue
2
Pages
721-743
ISSN
  • 2040-5790 (ISSN-L)
  • 2040-5804
OpenAlex
W4377098730
Cited by
42
References
2
Citations by year
2026: 11 · 2025: 16 · 2024: 10 · 2023: 5
FWCI
8.57
Type
journal article
Language
en
Open access
Locations
  • Applied Economic Perspectives and Policy (publishedVersion)
  • Civil War Book Review (submittedVersion)
Funders
  • Louisiana State University
  • National Institute of Food and Agriculture
  • Bureau of Ocean Energy Management
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
  • Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
  • Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
Keywords
hypothetical bias, willingness to pay, representative sampling, convenience sampling, non-probability samples, sample weighting, contingent valuation, model equivalence

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