Isbn: 9780262553094 - encompassing: practical applications through simulation (23 risultati)

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Paperback. Condizione: new. Paperback. An operational simulation-based implementation of a fundamental research principle in the sciences-the idea that a model must account for, or encompass, findings of alternative models.An operational simulation-based implementation of a fundamental research principle in the sciences-the idea that a model must account for, or encompass, findings of alternative models.To account for the universal deficiency of all economic models, Jean-Fran ois Richard, Robert Marshall, and Chaohai Shen propose in this book an operational test of whether a model accounts for-or encompasses-key results of alternative models. This simulation-based approach is distinct from the likelihood-based approach of forty-plus years ago. It is specifically designed to be applicable to serious nonlinear applications, under the minimal requirement that the models under consideration be amenable to Monte Carlo simulations.The method of simulated moments, increasingly applied in major empirical applications, provides the ideal framework to compute a wide range of formal simulation-based encompassing test statistics. The authors argue that simulation-based encompassing is particularly easy to implement when the model of interest incorporates novel features relative to an earlier "benchmark" model: that is, "nests" the latter.The book should be of particular interest to practitioners, researchers, and graduate students who wish to validate their models using simulation-based encompassing as a rigorous scientific alternative to more informal model comparisons. "provides both a theoretical framework for simulation-based encompassing and hands-on substantive empirical illustrations"-- Provided by publisher. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Condizione: new. Paperback. An operational simulation-based implementation of a fundamental research principle in the sciences-the idea that a model must account for, or encompass, findings of alternative models.An operational simulation-based implementation of a fundamental research principle in the sciences-the idea that a model must account for, or encompass, findings of alternative models.To account for the universal deficiency of all economic models, Jean-Fran ois Richard, Robert Marshall, and Chaohai Shen propose in this book an operational test of whether a model accounts for-or encompasses-key results of alternative models. This simulation-based approach is distinct from the likelihood-based approach of forty-plus years ago. It is specifically designed to be applicable to serious nonlinear applications, under the minimal requirement that the models under consideration be amenable to Monte Carlo simulations.The method of simulated moments, increasingly applied in major empirical applications, provides the ideal framework to compute a wide range of formal simulation-based encompassing test statistics. The authors argue that simulation-based encompassing is particularly easy to implement when the model of interest incorporates novel features relative to an earlier "benchmark" model: that is, "nests" the latter.The book should be of particular interest to practitioners, researchers, and graduate students who wish to validate their models using simulation-based encompassing as a rigorous scientific alternative to more informal model comparisons. "provides both a theoretical framework for simulation-based encompassing and hands-on substantive empirical illustrations"-- Provided by publisher. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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Condizione: New. Jean-Fran&ccedilois Richard is a Belgian-American economist and Distinguished Professor of Economics at the University of Pittsburgh. He has been awarded the Prix des Alumni de la Fondation Universitaire, is a Fellow of the Econometric Society, and has pub.

Paperback. Condizione: new. Paperback. An operational simulation-based implementation of a fundamental research principle in the sciences-the idea that a model must account for, or encompass, findings of alternative models.An operational simulation-based implementation of a fundamental research principle in the sciences-the idea that a model must account for, or encompass, findings of alternative models.To account for the universal deficiency of all economic models, Jean-Fran ois Richard, Robert Marshall, and Chaohai Shen propose in this book an operational test of whether a model accounts for-or encompasses-key results of alternative models. This simulation-based approach is distinct from the likelihood-based approach of forty-plus years ago. It is specifically designed to be applicable to serious nonlinear applications, under the minimal requirement that the models under consideration be amenable to Monte Carlo simulations.The method of simulated moments, increasingly applied in major empirical applications, provides the ideal framework to compute a wide range of formal simulation-based encompassing test statistics. The authors argue that simulation-based encompassing is particularly easy to implement when the model of interest incorporates novel features relative to an earlier "benchmark" model- that is, "nests" the latter.The book should be of particular interest to practitioners, researchers, and graduate students who wish to validate their models using simulation-based encompassing as a rigorous scientific alternative to more informal model comparisons. "provides both a theoretical framework for simulation-based encompassing and hands-on substantive empirical illustrations"-- Provided by publisher. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

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