We use perturbation methods to derive a rule for the optimal risk-adjusted social cost of carbon (SCC) that incorporates the effects of uncertainties associated with climate and the economy from a calibrated DSGE model. We allow for different aversions to risk and intertemporal fluctuations,...

Assessment of climate change policies requires aggregation of costs and benefits over time and across generations, a process ordinarily done through discounting. Choosing the correct discount rate has proved controversial and highly consequential. To clarify past analysis and guide future work,...

The prevailing literature discusses intergenerational trade-offs predominantly in infinitely-lived agent models despite the finite lifetime of individuals. We discuss these trade-offs in a continuous time OLG framework and relate the results to the infinitely-lived agent setting. We identify...

This paper explores the relationship between rationality and equity in an intergenerational context of greenhouse gas emission reduction. It is shown that the least-cost trajectory to a constraint on cumulative emissions implies an upward-sloping emission reduction effort, whether technological...

In different treatments of an intergenerational common resource experiment, monetary payoff maximization by each generation causes either negative or positive externalities for future generations. Two behavioral types have been observed previously in single generation games: equity motivated...

This paper examines the interplay between discounting and the distribution of welfare between generations in formulating climate change response strategies. The analysis shows that one can understand Nordhaus's (1994) standard representative agent model for climate policy analysis as a reduced...

The estimated values to society from long-term public projects, including climate change mitigation and infrastructure construction, are highly sensitive to the social discount rate (SDR) employed. Governmental guidance on social discounting has predominantly been based on input from expert...