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- W2116972691 abstract "The comparison and selection of statistical models play an important role in econometric analysis. Dealing with evaluation of non nested models, the test procedure called J-Test is a frequently used tool in the literature. Accordingly to statistics, between the years 1894 and 2004 the J-Test was cited on 497 pertinent articles. Differently from J-Test, the Bayesian theories have an unexplored applicability potential in the literature, once they are methodologically coherent with the standard procedures of inference in econometrics. In this sense, the objective of this essay is to evaluate the applicability of the Bayesian procedure FBST to comparison of non nested econometric models. Implementing the FBST to the same data of some relevant statistical studies in Economic Theory, like Bremmer (2003) (Phillips Curve) and Caporale and Grier (2000) (real interest rate determination), it can be seen that the results obtained point to the same conclusions as that attained with J-Test utilization. Besides that, when implementing the power function to evaluate both test procedures, it can be observed that under some conditions the error chances expressed by Error Type I and Error Type II become relatively close." @default.
- W2116972691 created "2016-06-24" @default.
- W2116972691 creator A5074453324 @default.
- W2116972691 date "2015-10-21" @default.
- W2116972691 modified "2023-09-24" @default.
- W2116972691 title "Seleção de modelos econométricos não aninhados: J-Teste e FBST" @default.
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- W2116972691 doi "https://doi.org/10.11606/d.45.2007.tde-14082013-094710" @default.
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