Artigo em revista científica
The explanatory power tests: R-square based analysis
José Curto (Curto, J.); José Pinto (Pinto, J.);
Título Revista
Advances in Computer Science and Engineering
Ano (publicação definitiva)
2014
Língua
Inglês
País
Índia
Mais Informação
Web of Science®

Esta publicação não está indexada na Web of Science®

Scopus

Esta publicação não está indexada na Scopus

Google Scholar

Esta publicação não está indexada no Google Scholar

Abstract/Resumo
The coefficient of determination R-square has an important role in empirical accounting and finance when the purpose is to compare the explanatory power of the same model in different samples or between models in the same sample. For this reason, it became a standard statistical procedure to test if the differences in sampling R-square's are statistically significant. Therefore, and in order to check if the difference in the R-square from two linear regression models with the same dependent variable is statistically significant, we propose EViews programs to compute the value of two tests for independent and nonindependent samples. These tests are commonly used in empirical accounting and finance and they cannot be computed in a standard way by the Econometric Views software.
Agradecimentos/Acknowledgements
--
Palavras-chave
Regression, R-square comparison , Cramer, Vuong