Applications of Simulation Methods in Environmental and Resource Economics

Introduction. Anna Alberini and Riccardo Scarpa.-1. Models in preference space and WTP space. Kenneth Train and Melvyn Weeks.-2. Classical simulation-based estimators to estimate individual WTP. William H. Greene et al.-3. Heterogeneity in the cost of power outages. David F. Layton and Klaus Molmer.-4. Capturing correlation and taste heterogeneity with mixed GEV models. Stephane Hess et al.-5. Analysis of agri-environmental payment programs. Joseph Cooper.-6. Multinomial logit vs. probit models. Andreas Ziegler.-7. Mixed logit with bounded distributions of correlated partworths. Kenneth Train and Garrett Sonnier.-8. Kuhn-Tucker demand system approaches to non market valuation. Roger H. van Haefen, Daniel J. Paneuf.-9. Hierarchical analysis of production efficiency. Garth Halloway et al.-10. Bayesian approaches to modeling stated preference data. David F. Layton and Richard A. Levine.-11. Bayesian estimation of DC CV with follow-up. Jorge E. Araña and Carmelo J. León.-12. Modelingelicitation effects in contingent valuation studies. Margarita Genius and Elisabetta Strazzera.-13. Performance of error component models for status-quo effects. Riccardo Scarpa et al.-14. Dynamic Optimization in large scale simulation models. Richard T. Woodward et al.-15. Estimation of discrete dynamic decision processes. Bill Provencher and Kenneth A. Baerenklau.-16. Monte Carlo methods in environmental economics. Giovanni Baiocchi.-17. Gaussian quadrature versus simulation. William S. Breffle et al.-18. Simulation noise and the estimation of land use decisions. John McPeak.-References. Index.