Applications of Simulation Methods in Environmental and Resource Economics

. Ed(s): Scarpa, Riccardo; Alberini, Anna

ISBN 10: 9048169305 ISBN 13: 9789048169306
Editorial: Springer, 2010
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Descripción:

Editor(s): Scarpa, Riccardo; Alberini, Anna. Series: The Economics of Non-Market Goods and Resources. Num Pages: 446 pages, biography. BIC Classification: KCH; KCN; RNF. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 23. Weight in Grams: 624. . 2010. 1st ed. Softcover of orig. ed. 2005. Paperback. . . . . N° de ref. del artículo V9789048169306

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Sinopsis:

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.

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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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Título: Applications of Simulation Methods in ...
Editorial: Springer
Año de publicación: 2010
Encuadernación: Encuadernación de tapa blanda
Condición: New
Edición: 1ª Edición

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Riccardo Scarpa
Publicado por Springer, Dordrecht, 2010
ISBN 10: 9048169305 ISBN 13: 9789048169306
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Paperback. Condición: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9789048169306

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Riccardo Scarpa
Publicado por Springer, Dordrecht, 2010
ISBN 10: 9048169305 ISBN 13: 9789048169306
Nuevo Paperback Original o primera edición

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Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Paperback. Condición: new. Paperback. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9789048169306

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