This research uses annual time series data on CPI in Myanmar from 1960 to 2017, to model and forecast CPI using the Box – Jenkins ARIMA technique. Diagnostic tests indicate that the M series is I (2). The study presents the ARIMA (2, 2, 1) model for predicting CPI in Myanmar. The diagnostic tests further imply that the presented optimal model is stable and acceptable in modeling CPI in Myanmar. The results of the study apparently show that CPI in Myanmar is likely to continue on an upwards trajectory in the next decade. The study encourages policy makers to make use of tight monetary and fiscal policy measures in order to deal with inflation in Myanmar
This research uses annual time series data on CPI in Norway from 1960 to 2017, to model and forecast...
This research uses annual time series data on inflation rates in the Philippines from 1960 to 2017, ...
This research uses annual time series data on CPI in Canada from 1960 to 2017, to model and forecast...
This research uses annual time series data on CPI in Myanmar from 1960 to 2017, to model and forecas...
This paper uses annual time series data on CPI in Mauritius from 1963 to 2017, to model and forecast...
This study uses annual time series data on CPI in Panama from 1960 to 2017, to model and forecast CP...
This research uses annual time series data on inflation rates in Egypt from 1960 to 2017, to model a...
This paper uses annual time series data on CPI in Japan from 1963 to 2017, to model and forecast CPI...
This research uses annual time series data on CPI in Australia from 1960 to 2017, to model and forec...
This research uses annual time series data on CPI in Japan from 1960 to 2017, to model and forecast ...
This research uses annual time series data on CPI in France from 1960 to 2017, to model and forecast...
This research uses annual time series data on CPI in Singapore from 1960 to 2017, to model and forec...
This research uses annual time series data on CPI in Sweden from 1960 to 2017, to model and forecast...
This research uses annual time series data on CPI in the UK from 1960 to 2017, to model and forecast...
This paper uses annual time series data on CPI in Germany from 1960 to 2017, to model and forecast C...
This research uses annual time series data on CPI in Norway from 1960 to 2017, to model and forecast...
This research uses annual time series data on inflation rates in the Philippines from 1960 to 2017, ...
This research uses annual time series data on CPI in Canada from 1960 to 2017, to model and forecast...
This research uses annual time series data on CPI in Myanmar from 1960 to 2017, to model and forecas...
This paper uses annual time series data on CPI in Mauritius from 1963 to 2017, to model and forecast...
This study uses annual time series data on CPI in Panama from 1960 to 2017, to model and forecast CP...
This research uses annual time series data on inflation rates in Egypt from 1960 to 2017, to model a...
This paper uses annual time series data on CPI in Japan from 1963 to 2017, to model and forecast CPI...
This research uses annual time series data on CPI in Australia from 1960 to 2017, to model and forec...
This research uses annual time series data on CPI in Japan from 1960 to 2017, to model and forecast ...
This research uses annual time series data on CPI in France from 1960 to 2017, to model and forecast...
This research uses annual time series data on CPI in Singapore from 1960 to 2017, to model and forec...
This research uses annual time series data on CPI in Sweden from 1960 to 2017, to model and forecast...
This research uses annual time series data on CPI in the UK from 1960 to 2017, to model and forecast...
This paper uses annual time series data on CPI in Germany from 1960 to 2017, to model and forecast C...
This research uses annual time series data on CPI in Norway from 1960 to 2017, to model and forecast...
This research uses annual time series data on inflation rates in the Philippines from 1960 to 2017, ...
This research uses annual time series data on CPI in Canada from 1960 to 2017, to model and forecast...