Climate change is profoundly altering our world in ways that pose major risks to human societies and natural systems. We have entered the Climate Casino and are rolling the global-warming dice, warns economist William Nordhaus. But there is still time to turn around and walk back out of the...

Global economic convergence and protection of the climate are both worthwhile goals. Yet, there is an inherent tension between them. Greenhouse gases are a waste product that is often emitted in the production process. Limiting such emissions therefore hampers the accumulation of income and...

Global economic convergence and protection of the climate are both worthwhile goals. Yet, there is an inherent tension between them. Greenhouse gases are a waste product that is often emitted in the production process. Limiting such emissions therefore hampers the accumulation of income and...

Shared socioeconomic pathways (SSPs) are perhaps the most influential economic policy analyses today. My paper evaluates their development, natural associations, logical consequences, and economic identification. All five SSP baseline scenarios are predicting scenarios that historical...

The standard approach to the Environmental Kuznets Curve (EKC) holds that as a country develops and GDP per capita grows environmental degradation initially increases but eventually it reaches a turning point where environmental degradation begins to decline. Environmental degradation takes many...

The standard approach to the Environmental Kuznets Curve (EKC) holds that as a country develops and GDP per capita grows environmental degradation initially increases but eventually it reaches a turning point where environmental degradation begins to decline. Environmental degradation takes many...

We develop a dynamic regulation game for a stock externality under asymmetric information and future market uncertainty. Within this framework, regulation is characterized as the implementation of a welfare-maximization program conditional on informational constraints. We identify the most...