We present a new framework for estimating the long-run economic impacts of natural disasters. Our approach combines a disaster impact model with a general equilibrium model of the economy. We apply the methodology to study the effects of tropical cyclones in the United States, the Caribbean...

Innovations in statistical methodology is often accompanied by Monte-Carlo studies. In the context of survey statistics two types of inferences have to be considered. First, the classical randomization methods used for developments in statistical modelling. Second, survey data is typically...

We present several fast algorithms for computing the distribution of a sum of spatially dependent, discrete random variables to aggregate catastrophe risk. The algorithms are based on direct and hierarchical copula trees. Computing speed comes from the fact that loss aggregation at branching...