Biometrical Letters

ISSN:1896-3811

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Volume (55) Number 1 pp. 45-48

Moawia Alghalith 1

1Economics Dept., UWI, , St Augustine, Trinidad and Tobago

The perfect regression and causality test: A solution to regression problems

Summary

We introduce a method that eliminates the specification error and spurious relationships in regression. In addition, we introduce a test of strong causality. Furthermore, hypothesis testing (inference) becomes almost unneeded. Moreover, this method virtually resolves error problems such as heteroscedasticity, autocorrelation, non-stationarity and endogeneity.

Keywords: spurious regression, strong causality, specification error
https://content.sciendo.com/downloadpdf/journals/bile/55/1/article-p45.pdf Full text available in Adobe Acrobat format

DOI: 10.2478/bile-2018-0004

For citation:

MLA Alghalith, Moawia. "The perfect regression and causality test: A solution to regression problems." Biometrical Letters 55.1 (2018): 45-48. DOI: 10.2478/bile-2018-0004
APA Alghalith, M. (2018). The perfect regression and causality test: A solution to regression problems. Biometrical Letters 55(1), 45-48 DOI: 10.2478/bile-2018-0004
ISO 690 ALGHALITH, Moawia. The perfect regression and causality test: A solution to regression problems. Biometrical Letters, 2018, 55.1: 45-48. DOI: 10.2478/bile-2018-0004