Abstract
This study uses Eviews software in order to determine the best Box-Jenkins ARMA model for forecasting the growth rate of remittances in Bangladesh by utilizing time series data from the year 1980 to 2022. In our study, we used the Augmented Dickey-Fuller Test (ADF Test) to check the stationarity of the time series data. This test shows that data is stationary at level 0, i.e., Remittance (0). By performing several selection criteria for the lowest SIGMASQ and the lowest value of AIC and BIC, we obtain ARMA (1, 1), which is the best model for forecasting remittances in Bangladesh. Diagnostic tests additionally demonstrate the stability and acceptability of the parsimonious model that has been given for remittance prediction in Bangladesh. The study's findings reportedly demonstrate that Bangladesh's remittance inflows are declining. The article makes the case that, in order to increase remittance inflows into Bangladesh, the country's emigration policy needs to be strengthened.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.