Forecasting population with spatial autoregressive models: Tunisian case

Khemiri, Sami (Institut Supérieur de Gestion de Tunis) ; Trabelsi , Abdelwahed. (Institut Supérieur de Gestion de Tunis)

Abstract: There are three determinants of population size: births (fertility), deaths and movements in or out. The application of spatial autoregressive model indicate that general spatial model is adequate which the dependent variable (population) exihibits spatial dependence, the explanatory variables are significant and disturbances present spatial dependence. Box-jenkins model indicate that series will be differentiated twice to appear stationary. therefore spatial analysis helps authorities to develop effective intervention decisions, and indicate the factors that will be influenced in order to regulate the size of the population.

Note: Mast (Systèmes économiques)- Institut Supérieur de Gestion de Tunis, Tunis, 2004
Note de localisation: CNUDST (TUN01)
Code de rangement: U23352

The record appears in these collections:
Thesis & Reports > Master

 Record created 2021-02-02, last modified 2021-03-02

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