Cost and User Profile of a Coastal Ocean Observing System

Richert, Evan; Bogden, Philip; Quintrell, Josie

doi:10.1080/08920750701861155

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…Such systems benefit a wide array of user groups (e.g., commercial, recreational, educational, etc.) (Dumas & Whitehead, 2008; Kite‐Powell et al, 2008; Richert et al, 2008), both in perceived value as well as through improved risk outcomes (e.g., oil spills, search‐and‐rescue, etc.). Recreation, including beach use, was one of the largest categories in terms of economic benefit and number of users.…”

Section: Literature Reviewmentioning

confidence: 99%

Hypothetical bias mitigation in representative and convenience samples

Penn

Petrolia

Fannin

2023

Applied Eco Perspectives Pol

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This is a case study comparing outcomes for a probability-based representative sample versus a nonprobability 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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Section: Literature Reviewmentioning

confidence: 99%

Hypothetical bias mitigation in representative and convenience samples

Penn

Petrolia

Fannin

2023

Applied Eco Perspectives Pol

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Know Thy Beach: Values of Beach Condition Information

Petrolia

Penn

Quainoo

et al. 2019

Marine Resource Economics

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The Value of Beach Conditions Information

et al. 2019

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We estimate the value of beach conditions information in the hands of the public prior to taking beach trips. We designed and administered a contingent-valuation survey to the beach-going population of the five U.S. Gulf Coast states that features a region-wide beach conditions monitoring system currently proposed by the Gulf of Mexico Coastal Ocean Observing System (GCOOS). We also test two hypothetical-bias mitigation strategies: a "budget and substitutes Q&A" treatment, and a "cheap talk Q&A" treatment. To preview our results, we find that although respondents perceive that such a service would be beneficial, many perceive that the information provided is already available elsewhere, and so the proportion of respondents willing to pay for access to the service is quite low. Nevertheless, we estimate that the aggregate value of the benefits associated with the service would still exceed the estimated cost of provision.

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Cost and User Profile of a Coastal Ocean Observing System

Cited by 3 publications

References 8 publications

Hypothetical bias mitigation in representative and convenience samples

Hypothetical bias mitigation in representative and convenience samples

Know Thy Beach: Values of Beach Condition Information

The Value of Beach Conditions Information

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