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Applications of simulation methods in environmental and resource economics /

By: Contributor(s): Material type: TextTextLanguage: English Series: Economics of non-market goods and resources ; vol. 6Publication details: Dordrecht : Springer, c2005.Description: xxxvi, 410 p. : ill. ; 25 cmISBN:
  • 1402036833
  • 1402036841
  • 9781402036842
Subject(s): DDC classification:
  • 339.49 22 SCA
Contents:
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.
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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.

Includes bibliographical references (p. [373]-404) and index.

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