Analysis of climate change is often computationally burdensome. Here, we present an approach for intelligently selecting a sample of climates from a population of 6800 climates designed to represent the full distribution of likely climate outcomes out to 2050 for the Zambeze River Valley....

Analysis of climate change is often computationally burdensome. Here, we present an approach for intelligently selecting a sample of climates from a population of 6800 climates designed to represent the full distribution of likely climate outcomes out to 2050 for the Zambeze River Valley....

Analysis of climate change is often computationally burdensome. Here, we present an approach for intelligently selecting a sample of climates from a population of 6800 climates designed to represent the full distribution of likely climate outcomes out to 2050 for the Zambeze River Valley....

This paper uses an economywide model to study the impact of trade policy reform on male and female labor in Mozambique. The model disaggregates factor markets by skill and gender, and incorporates links between trade reform, product prices and wages by gender. The model also includes a detailed...

We introduce a maximum entropy approach to parameter estimation for computable general equilibrium (CGE) models. The approach applies information theory to estimating a system of non-linear simultaneous equations. It has a number of advantages. First, it imposes all general equilibrium...

This study develops a stochastic economy-wide framework for analyzing economic impacts from climate change and potential adaptation policies. For the stochastic analysis, particular attention is paid to the development of a prior subjective distribution of future climate outcomes. The approach...