Applications of Simulation Methods in Environmental and Resource Economics
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  • Broschiertes Buch

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.…mehr

Produktbeschreibung
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.

  • Produktdetails
  • The Economics of Non-Market Goods and Resources 6
  • Verlag: Springer / Springer Netherlands
  • Artikelnr. des Verlages: 978-90-481-6930-6
  • Softcover reprint of hardcover 1st ed. 2005
  • Seitenzahl: 448
  • Erscheinungstermin: 28. Oktober 2010
  • Englisch
  • Abmessung: 240mm x 160mm x 24mm
  • Gewicht: 696g
  • ISBN-13: 9789048169306
  • ISBN-10: 9048169305
  • Artikelnr.: 32094134
Inhaltsangabe
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