Applications of Simulation Methods in Environmental and Resource Economics (eBook, PDF)

Redaktion: Scarpa, Riccardo; Alberini, Anna

• Format: PDF

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer Netherlands
• Seitenzahl: 410
• Erscheinungstermin: 15. Dezember 2005
• Englisch
• ISBN-13: 9781402036842
• Artikelnr.: 37338650

Inhaltsangabe

Discrete Choice Models in Preference Space and Willingness-to-Pay Space.- Using Classical Simulation-Based Estimators to Estimate Individual WTP Values.- The Cost of Power Outages to Heterogeneous Households.- Capturing Correlation and Taste Heterogeneity with Mixed GEV Models.- Analysis of Agri-Environmental Payment Programs.- A Comparison Between Multinomial Logit and Probit Models.- Mixed Logit with Bounded Distributions of Correlated Partworths.- Kuhn-Tucker Demand System Approaches to Non-Market Valuation.- Hierarchical Analysis of Production Efficiency in a Coastal Trawl Fishery.- Bayesian Approaches to Modeling Stated Preference Data.- Bayesian Estimation of Dichotomous Choice Contingent Valuation with Follow-Up.- Modeling Elicitation Effects in Contingent Valuation Studies.- Performance of Error Component Models for Status-Quo Effects in Choice Experiments.- DPSIM Modelling: Dynamic Optimization in Large Scale Simulation Models.- An Exposition of Structural Estimation of Discrete Dynamic Decision Processes.- Monte Carlo Methods in Environmental Economics.- Gaussian Quadrature Versus Simulation for the Estimation of Random Parameters.- Simulation Noise and the Estimation of Land Use Decisions in Kenya.