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Macroeconomic Correlations Analyzed Multiple Regression Model

Author

Listed:
  • Constantin Anghelache

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

  • Radu Titus Marinescu

    („Artifex” University of Bucharest)

  • Adina Mihaela Dinu

    (Bucharest University of Economic Studies)

  • Daniel Dumitrescu

    (Bucharest University of Economic Studies)

  • Diana Valentina Soare

    (Bucharest University of Economic Studies)

Abstract

Before entering into details, we notice the fact that this transformation does not insert the over-determination of the conditions on the variables distribution.We shall estimate the mean of the regression differentials. We have seen that the parametrical estimation of a regression erroneously specified does not allow us to consistently estimate the differentials of this function in a certain point. In many econometrical issues, the differentials are parameters of interest. The estimation is possible but its rate of convergence is very slow and, consequently, requires a large sample. Nevertheless, in many applications it is enough to estimate the mean of the regression differentials.

Suggested Citation

  • Constantin Anghelache & Radu Titus Marinescu & Adina Mihaela Dinu & Daniel Dumitrescu & Diana Valentina Soare, 2015. "Macroeconomic Correlations Analyzed Multiple Regression Model," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 63(4), pages 30-35, April.
    • Handle: RePEc:rsr:supplm:v:63:y:2015:i:4:p:30-35
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    Citations

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    Cited by:

    1. Constantin ANGHELACHE & Doina BUREA & Alexandru URSACHE, 2017. "The main interconnections between balance of payments indicators and the macroeconomic aggregates results," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(3), pages 189-196, March.
    2. Alexandru MANOLE & Madalina-Gabriela ANGHEL & Alexandru BADIU & Doina AVRAM, 2017. "Theoretical considerations regarding the main macroeconomic proportions and correlations," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(3), pages 169-181, March.

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