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ISBN: 9789048169306

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Applications of Simulation Methods in Environmental and Resource Economics

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.

Gedetalleerde informatie over het boek. - Applications of Simulation Methods in Environmental and Resource Economics


EAN (ISBN-13): 9789048169306
ISBN (ISBN-10): 9048169305
Gebonden uitgave
pocket book
Verschijningsjaar: 2010
Uitgever: Springer-Verlag GmbH
448 Bladzijden
Gewicht: 0,709 kg
Taal: eng/Englisch

Boek bevindt zich in het datenbestand sinds 2011-07-31T06:00:58+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2020-06-18T03:12:39+02:00 (Amsterdam)
ISBN/EAN: 9789048169306

ISBN - alternatieve schrijfwijzen:
90-481-6930-5, 978-90-481-6930-6


Gegevens van de uitgever

Auteur: Riccardo Scarpa; Anna Alberini
Titel: The Economics of Non-Market Goods and Resources; Applications of Simulation Methods in Environmental and Resource Economics
Uitgeverij: Springer; Springer Netherland
410 Bladzijden
Verschijningsjaar: 2010-10-28
Dordrecht; NL
Gedrukt / Gemaakt in
Gewicht: 0,711 kg
Taal: Engels
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
POD

BC; Previously published in hardcover; Hardcover, Softcover / Wirtschaft/Volkswirtschaft; Makroökonomie; Computational Methods; Econometrics; Environmental economics; Resource Economics; Simulation; Simulation Methods; calculus; modeling; production; B; Macroeconomics/Monetary Economics//Financial Economics; Environmental Economics; Econometrics; Environmental Management; Macroeconomics and Monetary Economics; Environmental Economics; Econometrics; Environmental Management; Economics and Finance; Geldwirtschaft, Währungspolitik; Umweltökonomie; Ökonometrie und Wirtschaftsstatistik; Umweltmanagement; BB

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.

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