To estimate the AMCEs, i.e., treatment effects for the attribute values of a carbon tax policy, we used ordinary least squares (OLS) where the dependent variable is whether the policy was chosen or not in the forced choice. The difference in these effects, depending on whether an individual did or did not receive revenue information, was estimated by including interaction effects for these experimental conditions.

To estimate the proportion who support a policy relative to those who oppose it (Figs. 2 to 4), we created a binary variable that takes on the value of 1 if the individual rates the policy in a supportive manner (5 to 7 on the seven-point Likert scale) and 0 if the individual rates the policy in an oppositional manner (1 to 3 on the seven-point Likert scale). This is analogous to the exclusion of indifferent respondents conducted in (19). We then estimated using OLS how the mean of this variable, equivalent to the proportion who support the policy, varies depending on the cost and revenue usage of the policy.

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