We study the importance of anticipated learning - about both environmental damages and abatement costs - in determining the level and the method of controlling greenhouse gas emissions. We also compare active learning, passive learning, and parameter uncertainty without learning. Current beliefs...

Non-strategic firms with rational expectations make investment and emissions decisions. The investment rule depends on firms' beliefs about future emissions policies. We compare emissions taxes and quotas when the (strategic) regulator and (nonstrategic) firms have asymmetric information about...

This paper studies the reality and the potential for green industrial policy. We provide a summary of the green industrial policies, broadly understood, for five countries. We then consider the relation between green industrial policies and trade disputes, emphasizing theBrazil-US dispute...

This paper studies the reality and the potential for green industrial policy. We provide a summary of the green industrial policies, broadly understood, for five countries. We then consider the relation between green industrial policies and trade disputes, emphasizing theBrazil-US dispute...

If a regulator is unable to measure firms’ individual emissions, an ambient tax can be used to achieve the socially desired level of pollution. With this tax, each firm pays a unit tax on aggregate emissions. In order for the tax to be effective, firms must recognize that their decisions...

We study a dynamic regulation model where firms’ actions contribute to a stock externality. The regulator and firms have asymmetric information about serially correlated abatement costs. With price-based policies such as taxes, or if firms trade quotas efficiently, the regulator learns about...

Non-strategic firms with rational expectations make investment and emissions decisions. The investment rule depends on firms’ beliefs about future emissions policies. We compare emissions taxes and quotas when the (strategic) regulator and (nonstrategic) firms have asymmetric information about...