uncertainty and learning. We explicitly consider the interplays between induced innovation, the stringency of environmental …

consider the lake game in a Brock and Mirman framework and show what happens to the Skiba point when there is uncertainty in …

damages influence the choice of taxes or quotas. Much of the literature concerning uncertainty and learning about damages from … stock externalities such as climate change assumes that the uncertainty will eventually be resolved. These papers focus on … uncertainty, ignoring the possible impact of the regulator's optimal decisions on the learning process. Passive learning is …

the rates and directions of technological change may interact with environmental policies in the presence of uncertainty … ignoring uncertainty could lead to inefficient and biased technology-policy recommendations for the future. …

uncertainty. The forms of uncertainty our framework encompasses include: simple i.i.d. model deviations; serially correlated model … deviations; estimable regime-switching models; more complex structural uncertainty, such as uncertainty about a set of … model uncertainty; and so forth. We provide an algorithm for finding the optimal policy as well as solutions for arbitrary …

a stock pollutant with mutiplicative uncertainty is opposite when the control variable is pollution taxes instead of …

also show that the uncertainty on a value measurement must have a lower bound. Now to connect our proposal to basic …, probability is a function of the lower bound to which the uncertainty on the value measurement must conform to. A second challenge …