The perfect regression and causality test: A solution to regression problems
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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.
1993 ◽
Vol 88
(422)
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pp. 629-641
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2018 ◽
pp. 23-24
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