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On the limit of the variation of the explanatory variable in simple linear regression model

Author

Listed:
  • Umberto Triacca

    (Dipartimento di Ingegneria e Scienze dell''Informazione e Matematica, University of L''Aquila)

Abstract

The simple linear regression model tries to explain the observed values of the dependent variable in terms of those of the explanatory variable. In particular, this note considers the assumption concerning the mean square deviation of the explanatory variable. It is showed that it is not a neutral assumption because it excludes some relevant data generator processes.

Suggested Citation

  • Umberto Triacca, 2012. "On the limit of the variation of the explanatory variable in simple linear regression model," Economics Bulletin, AccessEcon, vol. 32(3), pages 1927-1932.
    • Handle: RePEc:ebl:ecbull:eb-12-00248
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    More about this item

    Keywords

    Consistent estimator; ordinary least square estimator; Stolz- Cesaro Theorem.;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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