Applications of Simulation Methods in Environmental and Resource Economics (The Economics of Non-Market Goods and Resources, 6)

ISBN 10: 1402036833 / ISBN 13: 9781402036835

Editore: Springer, 2005

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Codice articolo G-463-853

Dati bibliografici

• Titolo: Applications of Simulation Methods in Environmental and Resource Economics (The Economics of Non-Market Goods and Resources, 6)
• Editore: Springer
• Data di pubblicazione: 2005
• Lingua: Inglese
• ISBN 10: 1402036833
• ISBN 13: 9781402036835
• Rilegatura: Hardcover
• Condizione: Bon

Descrizione articolo

Riassunto

Simulation methods are revolutionizing the practice of applied economic analysis. In this book, leading researchers from around the world discuss interpretation issues, similarities and differences across alternative models, and propose practical solutions for the choice of the model and programming. Case studies show the practical use and the results brought forth by the different methods.

Contenuti

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. 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.