product
7559601Encompassinghttps://www.gandhi.com.mx/encompassing-9780262384070/phttps://gandhi.vtexassets.com/arquivos/ids/7180050/image.jpg?v=6388478184610000007661064MXNMIT PressInStock/Ebooks/<p><strong>An operational simulation-based implementation of a fundamental research principle in the sciencesthe idea that a model must account for, or encompass, findings of alternative models.</strong></p><p>To account for the universal deficiency of all economic models, Jean-Franois Richard, Robert Marshall, and Chaohai Shen propose in this book an operational test of whether a model accounts foror encompasseskey 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.</p><p>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.</p><p>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.</p>...7174762Encompassing7661064https://www.gandhi.com.mx/encompassing-9780262384070/phttps://gandhi.vtexassets.com/arquivos/ids/7180050/image.jpg?v=638847818461000000InStockMXN99999PR_DIEbook20259780262384070_W3siaWQiOiJkMDI2YWZmNS04MmU0LTQ4YzMtOWYxMi1lZjI5MDJjYWE0NjMiLCJsaXN0UHJpY2UiOjEwNjQsImRpc2NvdW50IjoyOTgsInNlbGxpbmdQcmljZSI6NzY2LCJpbmNsdWRlc1RheCI6dHJ1ZSwicHJpY2VUeXBlIjoiV2hvbGVzYWxlIiwiY3VycmVuY3kiOiJNWE4iLCJmcm9tIjoiMjAyNS0wNy0wMVQwMDowMDowMFoiLCJyZWdpb24iOiJNWCIsImlzUHJlb3JkZXIiOnRydWV9XQ==9780262384070_<p><strong>An operational simulation-based implementation of a fundamental research principle in the sciencesthe idea that a model must account for, or encompass, findings of alternative models.</strong></p><p>To account for the universal deficiency of all economic models, Jean-Franois Richard, Robert Marshall, and Chaohai Shen propose in this book an operational test of whether a model accounts foror encompasseskey 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.</p><p>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.</p><p>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.</p>...9780262384070_MIT Presslibro_electonico_9780262384070_9780262384070Chaohai ShenInglésMéxico2025-08-26T00:00:00+00:002025-08-26T00:00:00+00:00MIT Press