We use machine learning algorithms to construct a novel news-based index of US environmental and climate policy uncertainty (EnvPU) available on a monthly basis over the 1990-2019 period. We find that our EnvPU index spikes during the environmental spending disputes of the 1995-1996 government...

Electric vehicles are declining in cost so rapidly that they may claim a large share of the vehicle market by 2030. This paper examines a set of practical regulatory design considerations for fuel-economy standards or greenhouse gas standards in the context of highly uncertain electric vehicle...

This paper explores abatement investment and location responses to environmental policy, which takes the form of emission taxes or tradeable emission permits and subsidies against the costs of abatement investment, under uncertainty and irreversibility. Uncertainty is associated with output...

Output-based carbon regulations--such as fuel economy standards and the rate-based standards in the Clean Power Plan--create well-known incentives to inefficiently increase output. Similar distortions are created by attribute-based regulations. This paper demonstrates that, despite these...

This paper considers the role of incentive based climate adaptation policies. It uses the early literature on pricing and capacity choices under demand uncertainty to describe how revised price structures for the substitutes for climate services can be treated as anticipatory adaptation. In many...

R&D is an uncertain activity with highly skewed outcomes. Nonetheless, most recent empirical studies and modeling estimates of the potential of technological change focus on the average returns to research and development (R&D) for a composite technology and contain little or no information...