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General Aspects Regarding the Classical Hypotheses in Multiple Regression

Author

Listed:
  • Constantin ANGHELACHE

    („Artifex” University of Bucharest / Academy of Economic Studies, Bucharest)

  • Gabriela Victoria ANGHELACHE

    (Academy of Economic Studies, Bucharest)

  • Daniel DUMITRESCU

    (Academy of Economic Studies, Bucharest)

  • Cristi DUMITRESCU
  • Adina Mihaela DINU

    (Academy of Economic Studies, Bucharest)

Abstract

OLS is considered to be, by far, the most popular and well-known method for estimating parameters of multiple regression. In this case, however, it is important to underline that there is no warranty as to the fact that OLS estimators will be, in one way or another, some “perfect” estimators.

Suggested Citation

  • Constantin ANGHELACHE & Gabriela Victoria ANGHELACHE & Daniel DUMITRESCU & Cristi DUMITRESCU & Adina Mihaela DINU, 2013. "General Aspects Regarding the Classical Hypotheses in Multiple Regression," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 61(2), pages 171-176, May.
    • Handle: RePEc:rsr:supplm:v:61:y:2013:i:2:p:171-176
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    More about this item

    Keywords

    matrix; regression; variable; sample; hypothesis;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General

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