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Titlebook: Applications of Simulation Methods in Environmental and Resource Economics; Riccardo Scarpa (Professor),Anna Alberini (Associa Book 2005 S

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發(fā)表于 2025-3-21 16:38:39 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applications of Simulation Methods in Environmental and Resource Economics
影響因子2023Riccardo Scarpa (Professor),Anna Alberini (Associa
視頻videohttp://file.papertrans.cn/160/159560/159560.mp4
發(fā)行地址Useful for practioners and students wishing to apply simulation methods for estimation and optimization purposes.Discusses interpretation issues, similarities and differences across alternative models
學(xué)科分類The Economics of Non-Market Goods and Resources
圖書封面Titlebook: Applications of Simulation Methods in Environmental and Resource Economics;  Riccardo Scarpa (Professor),Anna Alberini (Associa Book 2005 S
影響因子.Simulation methods are revolutionizing the practice of applied economic analysis. This volume collects eighteen chapters written by leading researchers from prestigious research institutions the world over. The common denominator of the papers is their relevance for applied research in environmental and resource economics. ..The topics range from discrete choice modeling with heterogeneity of preferences, to Bayesian estimation, to Monte Carlo experiments, to structural estimation of Kuhn-Tucker demand systems, to evaluation of simulation noise in maximum simulated likelihood estimates, to dynamic natural resource modeling. Empirical cases are used to show the practical use and the results brought forth by the different methods..
Pindex Book 2005
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1571-487X ation noise in maximum simulated likelihood estimates, to dynamic natural resource modeling. Empirical cases are used to show the practical use and the results brought forth by the different methods..978-90-481-6930-6978-1-4020-3684-2Series ISSN 1571-487X
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Discrete Choice Models in Preference Space and Willingness-to-Pay Space,ce space fit the data better but provide less reasonable distributions of . than the models in . space. Our findings suggests that further work is needed to identify distributions that either fit better when applied in . space or imply more reasonable distributions of . when applied in preference sp
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