Applications of Simulation Methods in Environmental and Resource Economics (Hardcover, 2005)

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. Arana and Carmelo J. Leon.- 12. Modeling elicitation 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.