IDEAS home Printed from https://ideas.repec.org/a/rsr/supplm/v62y2014i4p32-43.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.revistadestatistica.ro/supliment/wp-content/uploads/2014/06/RRS04_2014_A05.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rsr:supplm:v:62:y:2014:i:4:p:32-43. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Adrian Visoiu (email available below). General contact details of provider: https://edirc.repec.org/data/stagvro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.