This research uses annual time series data on inflation rates in Sri Lanka from 1960 to 2017, to model and forecast inflation using ARMA models. Diagnostic tests indicate that S is I(0). The study presents the ARMA model (1, 0, 0) [or simply AR (1) process] for forecasting inflation rates in Sri...

Using annual time series data on total population in Yemen 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 Yemen annual total population is neither I (1) nor I (2) but...

Employing annual time series data on total population in Pakistan from 1960 to 2017, we model and forecast total population over the next 3 decades using the Box – Jenkins ARIMA technique. Based on the minimum AIC and Theil’s U, the study presents the ARIMA (3, 2, 1) model. The diagnostic...

Employing annual time series data on total population in Eritrea from 1960 to 2011, we model and forecast total population over the next 39 years using the Box – Jenkins ARIMA technique. Diagnostic tests such as the ADF tests show that Eritrea annual total population is I (2). Based on the...

Employing annual time series data on total population in India from 1960 to 2017, we model and forecast total population over the next 3 decades using the Box – Jenkins ARIMA technique. Diagnostic tests show that Indian annual total population data is I (2). Based on both the AIC and Theil’s...

Employing annual time series data on total population in Brazil 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 Brazil annual total population is non-stationary in all...

Employing annual time series data on total population in China 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 China annual total population is I (2). Based on the AIC,...

Employing annual time series data on total population in Mexico 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 Mexico annual total population is I (2). Based on the AIC,...

Using annual time series data on GDP per capita in South Africa from 1960 to 2017, the study investigates GDP per capita using the Box – Jenkins ARIMA technique. The diagnostic tests such as the ADF tests show that South African GDP per capita data is I (1). Based on the AIC, the study...

This paper uses annual time series data on CPI in Germany from 1960 to 2017, to model and forecast CPI using the Box – Jenkins ARIMA technique. Diagnostic tests indicate that the GC series is I (1). The study presents the ARIMA (1, 1, 1) model for predicting CPI in Germany. The diagnostic...