Determinants of Willingness-to-pay for Water Pollution Abatement: a Point and Interval Data Payment Card Application
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This paper shows a contingent valuation exercise of pollution abatement in remote lakes. In addition to estimating the usual interval data model, it applies a point and interval statistical approach allowing for uncensored data, left-censored data, right-censored data and left- and right-censored data to explore the determinants of willingness-to-pay in a payment card survey. Results suggest that the estimations between models may diverge under certain conditions.
Traditional beliefs and willingness to pay for improving a mining-polluted river in Ghana.
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