Simulation methods are revolutionizing the practice of applied
economic analysis. This volume collects eighteen chapters written
by leading researchers from prestigious research institutions the
world over. The common denominator of the papers is their relevance
for applied research in environmental and resource economics.
The topics range from discrete choice modeling with
heterogeneity of preferences, to Bayesian estimation, to Monte
Carlo experiments, to structural estimation of Kuhn-Tucker demand
systems, to evaluation of simulation noise in maximum simulated
likelihood estimates, to dynamic natural resource modeling.
Empirical cases are used to show the practical use and the results
brought forth by the different methods.
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