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The Classical Linear Model

  • Peter Tryfos
Part of the Advanced Studies in Theoretical and Applied Econometrics book series (ASTA, volume 41)

Abstract

The method outlined in Chapters 2 and 3 is not the one primarily used in practice. As noted in Ch. 1, the dominant methodology is based on the stochastic approach and on a special stochastic model used in the large majority of applications, the classical linear model (CLM). In this chapter, we review the assumptions and properties of the CLM, leaving out the proofs linking the two; the latter can be found in any mathematical statistics text, notable among which for clarity and rigor are Johnston (1984), Malinvaud (1970), Neter et al. (1985), and Theil (1971). We then examine critically these properties and their utility when the assumptions are satisfied. We consider the validity of these assumptions in Ch. 5.

Keywords

Explanatory Variable Statistical Inference Unbiased Estimator Point Forecast Interval Forecast 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2004

Authors and Affiliations

  • Peter Tryfos
    • 1
  1. 1.York UniversityTorontoCanada

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