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The General Linear Model IV

  • Phoebus J. Dhrymes
Chapter

Abstract

In this chapter we take up the problems occasioned by the failure of the rank condition (for the matrix of explanatory variables). This problem arises as a matter of course in analysis of variance (or covariance) models where some of the variables are classificatory. In this case, we are led to the construction of “dummy” variables representing the classificatory schemes. Since all such classificatory schemes are exhaustive, it is not surprising that the “dummy” variables are linearly dependent and, thus, the rank condition for the data matrix fails.

Keywords

Unbiased Estimator Rank Condition Ridge Regression Good Linear Unbiased Estimator Payout Ratio 
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-Verlag New York Inc. 1978

Authors and Affiliations

  • Phoebus J. Dhrymes
    • 1
  1. 1.Department of EconomicsColumbia UniversityNew YorkUSA

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