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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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The Handbook also contains:<>P
discussions of underlying theoryboth contingent valuation and conjoint analysiscomparisons of real and hypothetical data using experimental approachesan examination of survey structure issuesdeveloping country focuscritical essays concerning the ethical basis of contingent valuation.This new reference book will be warmly welcomed by academics in environmental economics, environmental professionals in government, consulting firms and NGOs. Graduate and undergraduate students in economics, environmental studies and environmental policy will also find this an ever valuable resource.
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