The Unscientific Incompleteness and Bias of Unidirectional Projections (= Regressions): A Questionnaire

Cornelis A. Los ()

Econometrics from EconWPA

Abstract: Why do statisticians (econometricians, economists, financial analysts, etc.) continue to incompletely identify the algebraic/geometric structure of the multi-variate data series they profess to analyze, and instead continue to publish the results of incomplete, prejudiced and biased unidirectional projections (= 'regressions') of such covariance structures? Such incomplete, prejudiced and biased representations cannot lead to scientific knowledge, as has been demonstrated already more than twenty years ago.

Keywords: system identification; noisy data; regression analysis; projection; incompleteness; prejudice; bias (search for similar items in EconPapers)
JEL-codes: C1 C2 C3 C4 C5 C8 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm
Date: 2004-10-26
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Persistent link: http://EconPapers.repec.org/RePEc:wpa:wuwpem:0410011

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