Using annual time series data on total population in Afghanistan 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 Afghanistan annual total population is I (1). Based on...

This research uses annual time series data on inflation rates in the Kingdom of Eswatini from 1966 to 2017, to model and forecast inflation using the Box – Jenkins ARIMA technique. Diagnostic tests indicate that the H series is I (1). The study presents the ARIMA (0, 1, 1) model for predicting...

This research uses annual time series data on inflation rates in The Gambia from 1962 to 2016, to model and forecast inflation using ARMA models. Diagnostic tests indicate that G is I(0). The study presents the ARMA (1, 0, 0) model [which is nothing but an AR (1) model]. The diagnostic tests...

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...

This research uses annual time series data on CO2 emissions in China from 1960 to 2017, to model and forecast CO2 using the Box – Jenkins ARIMA approach. Diagnostic tests indicate that China CO2 emission data is I (2). The study presents the ARIMA (1, 2, 1) model. The diagnostic tests further...

Employing annual time series data on total population in Gambia from 1960 to 2017, I 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 Gambia annual total population is I (2). Based on the AIC,...

This research uses annual time series data on inflation rates in the Kingdom of Eswatini from 1966 to 2017, to model and forecast inflation using the Box – Jenkins ARIMA technique. Diagnostic tests indicate that the H series is I (1). The study presents the ARIMA (0, 1, 1) model for predicting...

The importance of population studies in Pakistan has been recognized since very ancient times. While population growth issues rarely grab the headlines in the media, it is imperative to note that Pakistan continues to be a victim of population growth. Employing the Ordinary Least Squares (OLS)...

Zimbabwe, whose economy is under life support; continues to be characterized by company closures with many workers losing their jobs through retrenchments (Nyathi et al, 2018). This fragile economic situation has resulted in a number of Zimbabweans resorting to entrepreneurship as their last...

The economy of Burundi is currently under life support and private investment is still in its embryonic stage, after a series of civil wars that have characterised Burundi’s post – independence era. The political woes that Burundi continues to experience are one of the fundamental hindrances...