Applications of Simulation Methods in Environmental and Resource Economics

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Riccardo Scarpa, Anna Alberini
Springer Science & Business Media, Jan 27, 2006 - Business & Economics - 410 pages
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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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Contents

The Bayesian approach
19
Conclusions
32
Discussion and Conclusion
53
Summary and Conclusions
73
Numerical Illustration
84
Conclusion
94
eph Cooper
97
Data
105
Conclusions
115
hnTucker Demand System Approaches to NonMarket Valuation
135
Results
153
s _ r M M ar I I a 1 a II 7T
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