Munich Personal RePEc Archive

Forecasting CPI in Sweden

NYONI, THABANI (2019): Forecasting CPI in Sweden.

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This research uses annual time series data on CPI in Sweden from 1960 to 2017, to model and forecast CPI using the Box – Jenkins ARIMA technique. Diagnostic tests indicate that the W series is I (1). The study presents the ARIMA (1, 1, 0) model for predicting CPI in Sweden. The diagnostic tests further imply that the presented optimal model is stable as expected. The results of the study apparently show that CPI in Sweden is likely to continue on an upwards trajectory in the next ten years. The study encourages policy makers to make use of tight monetary and fiscal policy measures in order to control inflation in Sweden.

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