Prediction of total population in Togo using ARIMA models
Thabani Nyoni and
Chipo Mutongi
MPRA Paper from University Library of Munich, Germany
Abstract:
Using annual time series data on total population in Togo from 1960 to 2017, we model and forecast total population over the next 3 decades using the Box – Jenkins ARIMA technique. Diagnostic tests such as the ADF tests show that Togo annual total population is neither I (1) nor I (2) but for simplicity purposes, the researcher has assumed it is I (2). Based on the AIC, the study presents the ARIMA (3, 2, 0) model as the best model. The diagnostic tests further indicate that the presented model is stable. The results of the study reveal that total population in Togo will continue to rise in the next three decades and in 2050 Togo’s total population will be approximately 14.2 million people. In order to benefit from an increase in total population in Togo, 3 policy recommendations have been suggested for consider by the government of Togo.
Keywords: Forecasting; population; Togo (search for similar items in EconPapers)
JEL-codes: C53 Q56 R23 (search for similar items in EconPapers)
Date: 2019-05-07
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/93983/1/MPRA_paper_93983.PDF original version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:93983
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().