Determinants of willingness-to-pay for water pollution abatement: A point and interval data payment card application

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.

► The interval data model is often used in payment card contingent valuation surveys that allow for point data.
► The point and interval data model directly allows for point data in the maximum likelihood function.
► The choice of the model affect estimation results under certain conditions.