Employing annual time series data on total population in Bangladesh 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 Bangladesh 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 (4, 2, 1) model. The diagnostic tests further indicate that the presented model is very stable and quite reliable. The results of the study reveal that total population in Bangladesh will continue to sharply rise in the next three decades. In order to deal with the threats posed by a large population, 3 policy recommendations have ...
Employing annual time series data on total population in Russia from 1960 to 2017, we model and fore...
This paper uses annual time series data on remittances into Bangladesh from 1976 to 2017, to model a...
Employing annual time series data on total population in China from 1960 to 2017, we model and forec...
Employing annual time series data on total population in Bangladesh from 1960 to 2017, I model and f...
Employing annual time series data on total population in Pakistan from 1960 to 2017, we model and fo...
Employing annual time series data on total population in India from 1960 to 2017, we model and forec...
Employing annual time series data on total population in Zimbabwe from 1960 to 2017, we model and fo...
Employing annual time series data on total population in Brazil from 1960 to 2017, we model and fore...
Using annual time series data on total population in Yemen from 1960 to 2017, we model and forecast ...
Using annual time series data on total population in Afghanistan from 1960 to 2017, we model and for...
Employing annual time series data on total population in Botswana from 1960 to 2017, I model and for...
Using annual time series data on total population in Somalia from 1960 to 2017, we model and forecas...
Using annual time series data on total population in Algeria from 1960 to 2017, we model and forecas...
Employing annual time series data on total population in Gambia from 1960 to 2017, I model and forec...
The biggest challenge in the world is population growth and determining how society and the state ad...
Employing annual time series data on total population in Russia from 1960 to 2017, we model and fore...
This paper uses annual time series data on remittances into Bangladesh from 1976 to 2017, to model a...
Employing annual time series data on total population in China from 1960 to 2017, we model and forec...
Employing annual time series data on total population in Bangladesh from 1960 to 2017, I model and f...
Employing annual time series data on total population in Pakistan from 1960 to 2017, we model and fo...
Employing annual time series data on total population in India from 1960 to 2017, we model and forec...
Employing annual time series data on total population in Zimbabwe from 1960 to 2017, we model and fo...
Employing annual time series data on total population in Brazil from 1960 to 2017, we model and fore...
Using annual time series data on total population in Yemen from 1960 to 2017, we model and forecast ...
Using annual time series data on total population in Afghanistan from 1960 to 2017, we model and for...
Employing annual time series data on total population in Botswana from 1960 to 2017, I model and for...
Using annual time series data on total population in Somalia from 1960 to 2017, we model and forecas...
Using annual time series data on total population in Algeria from 1960 to 2017, we model and forecas...
Employing annual time series data on total population in Gambia from 1960 to 2017, I model and forec...
The biggest challenge in the world is population growth and determining how society and the state ad...
Employing annual time series data on total population in Russia from 1960 to 2017, we model and fore...
This paper uses annual time series data on remittances into Bangladesh from 1976 to 2017, to model a...
Employing annual time series data on total population in China from 1960 to 2017, we model and forec...