The effective design and implementation of interventions that reduce vulnerability and poverty require a solid understanding of underlying poverty dynamics and associated behavioral responses. Stochastic and dynamic benefit streams can make it difficult for the poor to learn the value of such...

Most, if not all, production technologies are stochastic. This article demonstrates how data envelopment analysis (DEA) methods can be adapted to accommodate stochastic elements in a state-contingent setting. Specifically, we show how observations on a random input, not under the control of the...

We use the actual insurance records of 52,300 farmers and 11 years to estimate two sets of insurance demands. We define measures of insurance's expected returns, variance and third moment, based on observed insurance data, and infer the expected returns for those farmers that have never had an...

This article reviews two major approached used in the past for risk analysis—the expected utility approach and the use of safety rules—and endeavors to reconcile their applicability and use in light of the recent nonexpected utility risk literature and working using the mean-Gini...

We develop a model of regulation of environmental risks in a heterogeneousindustry when policy makers are sensitive to uncertainties about the processes generating the risks. Optimal source reduction capacity is shown to vary according to site suitability. Optimal source reduction capacity and...

It is likely that climate change will be associated with reductions in inflows of water to the Murray–Darling Basin. In this study, we analyse the effects of climate change in the Murray–Darling Basin using a simulation model that incorporates a state-contingent representation of...