Applications of Simulation Methods in Environmental and Resource Economics

edited by Riccardo Scarpa, Anna Alberini

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.

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Year of publication:	2005
Authors:	Scarpa, Riccardo
Other Persons:	Alberini, Anna (contributor)
Publisher:	Dordrecht : Springer
Subject:	Umweltökonomik \| Environmental economics \| Ressourcenökonomik \| Resource economics \| Präferenztheorie \| Theory of preferences \| Bayes-Statistik \| Bayesian inference \| Monte-Carlo-Simulation \| Monte Carlo simulation \| Mathematische Optimierung \| Mathematical programming \| Simulation \| Theorie \| Theory \| Umweltökonomie \| Ressourcenökonomie \| Ökonometrie
Description of contents:	Table of Contents [external.dandelon.com]

Extent:	Online-Ressource v.: digital
Series:	The Economics of Non-Market Goods and Resources ; 6
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Aufsatzsammlung ; Sammelwerk ; Collection of articles of several authors
Language:	English
Notes:	Literaturverz. S. 373 - 404 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 DataBayesian 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 Electronic reproduction; Available via World Wide Web
ISBN:	978-1-4020-3684-2 ; 978-1-4020-3683-5
Other identifiers:	10.1007/1-4020-3684-1 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014274792