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Economic Analysis through the Use of Statistical - Econometric Models

Author

Listed:
  • Constantin ANGHELACHE

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

  • Mario PAGLIACCI

    (Universita degli Studi di Perugia)

  • Constantin MITRUT

    (Academy of Economic Studies, Bucharest)

Abstract

In the theoretical analysis, dependency of variables is stochastic. Consideration of the residual variable within such a model is needed. Other factors that influence the score variable are grouped in the residual. Uni-factorial nonlinear models are linearized transformations that are applied to the variables, the regression model. So, for example, a model of the form turns into a linear model by logarithm of the two terms of the above equality, resulting in linear function. Sometimes, for estimating parameters using other techniques of estimation, which cannot be incremental transformations, linear estimation of parameters is made by numerical methods. Linear regression model is based on the series of data for the two features. They are represented by vectors x (the variable factor) and y (variable score).

Suggested Citation

  • Constantin ANGHELACHE & Mario PAGLIACCI & Constantin MITRUT, 2014. "Economic Analysis through the Use of Statistical - Econometric Models," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 62(4), pages 32-43, April.
    • Handle: RePEc:rsr:supplm:v:62:y:2014:i:4:p:32-43
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    Citations

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    Cited by:

    1. Aurelian DIACONU & Alexandru URSACHE, 2015. "Specific aspects defining the investment concept," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 63(10), pages 50-56, October.
    2. Constantin Anghelache & Madalina-Gabriela Anghel, 2015. "Analysis Model of the Capital Market in Romania," Knowledge Horizons - Economics, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 7(3), pages 65-73, September.
    3. Georgeta Lixandru (Bardasu), 2015. "The Evolution of the Performances at Regional Level," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 5(4), pages 135-139, October.

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