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L-scaling

Author

Listed:
  • Eric Blankmeyer

    (Southwest Texas State University)

Abstract

This paper introduces L-scaling, which computes scaled scores from multivariate data. We demonstrate the uniqueness, positivity and equivariance of the L-scaling weights. The relationship of L-scaling to ANOVA and principal components is explained, robustness and inference are discussed, and an analogy in mechanics is mentioned. Finally, L- scaling is used to summarize the cost of living in 15 U. S. cities in 1988.

Suggested Citation

  • Eric Blankmeyer, 1999. "L-scaling," Econometrics 9904002, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpem:9904002
    Note: Type of Document - text, 121 kb; prepared on IBM PC MS Word; to print on HP; pages: 14 ; figures: none.
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    More about this item

    Keywords

    multidimensional scaling principal components;

    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

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