that text, this book includes the statistical foundations of decision making under risk and uncertainty. Adding to the … model, real options theory, and state-contingent production relationships. Risk, Uncertainty, and the Agricultural Firm …

The integrated assessment literature frequently replicates uncertainty by averaging Monte Carlo runs of deterministic … models. This Monte Carlo analysis is, in essence, an averaged sensitivity analyses. The approach resolves all uncertainty … version of the widespread integrated assessment model DICE, and focuses on damage uncertainty. We show that the optimizing …

sector (conventional and specialty eggs) using data from 2009 to 2011. Our results indicate multiple uncertainty sources …

game theoretic model to examine the combined effects of uncertainty and risk aversion on the actions of potential investors … into high and low carbon generating capacity, under both allocation rules and uncertain costs. We find that uncertainty and …

is conveyed through the price system. Specifically, since the learning process yields uncertainty, we study the effect of …