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American Journal of Innovative Research & Applied Sciences
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  | ARTICLES | Am. J. innov. res. appl. sci. Volume 7,  Issue 5, Pages 315-319 (November 2018)
Research Article
American Journal of innovative
Research & Applied Sciences 
ISSN  2429-5396 (Online)
OCLC Number: 920041286
| NOVEMBER VOLUME 7 | N° 5  | 2018 |
Authors Contact


*Correspondant author and authors Copyright © 2018:  |Mounir Boumhamdi *1| and |Aziz Atmani 1|
Affiliation.


1 University Hassan II | Laboratoire d'actuariat, criminalité financière et migration internationale | B.P 8110 Oasis | Casablanca | Maroc |
This article is made freely available as part of this journal's Open Access: ID | Mounir-ManuscriptRef.14-ajira101118 | 
|
LINEAR MIXED EFFECT MODELS AND APPLICATION IN ECONOMY

      | Mounir Boumhamdi *1 | and | Aziz Atmani 1 | .  Am. J. innov. res. appl. sci. 2018; 7(5):315-319.

    | PDF FULL TEXT |   | XML FILE  |   | Received | 08 October 2018 | | Accepted | 19 November 2018 |  | Published | 25 November 2018 |




Abstract

Background: North Africa has witnessed a political and economic evolution and very important strategic location. Objective: The aim of this work is the modeling and the simulation of gross domestic product (GDP), PPP (current international dollar) growth in North African countries from 1990 to 2017.Methods: Using mixed effects model theory. In our case, we will use linear mixed effects models for longitudinal data covering the last twenty seven years. Results: This model provides a good fit to describe the law of evolution of GDP (PPP based). Conclusion: The Linear Mixed Effects Models can help to characterize and to understand many complex linear economical processes.
Keywords:  Linear mixed effects model, GDP (PPP based), North Africa, Longitudinal data.