The Unscientific Incompleteness and Bias of Unidirectional Projections (= Regressions): A Questionnaire
AbstractWhy 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by EconWPA in its series Econometrics with number 0410011.
Length: 6 pages
Date of creation: 26 Oct 2004
Date of revision:
Note: Type of Document - pdf; pages: 6. Please, respond to this questionnaire with polite and concise answers. Your contibution will be properly acknowledged.
Contact details of provider:
Web page: http://126.96.36.199
system identification; noisy data; regression analysis; projection; incompleteness; prejudice; bias;
Find related papers by JEL classification:
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
- C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
- C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
This paper has been announced in the following NEP Reports:
- NEP-ECM-2004-11-07 (Econometrics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Cornelis A. Los, 1987. "Identification of a linear system from inexact data: a three variable example," Research Paper 8703, Federal Reserve Bank of New York.
- R.E. Kalman & C.A. Los, 1987. "The prejudices of least squares, principal components and common factor schemes," Research Paper 8701, Federal Reserve Bank of New York.
- Cornelis A. Los, 2004.
"Galton's Error and the Under-Representation of Systematic Risk,"
- Los, Cornelis A., 1999. "Galton's Error and the under-representation of systematic risk," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1793-1829, December.
- Cornelis Los, 2004. "Measuring the Degree of Efficiency of Financial Market," Finance 0411003, EconWPA.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (EconWPA).
If references are entirely missing, you can add them using this form.