Modelling Consumer Price Index (CPI) in Kenya for the Period 2000 to 2017 Using Autoregressive Integrated Moving Averages--ARIMA(p, d, q)
ABSRACT The Kenyan CPI data for the period January 2000 to December 2017, obtained from the KNBS website, was the variable of interest, modelled as a time series variable. R was the package used for analysis. Descriptive statistics such as the mean, median, ACF, PACF, time series plots, histograms, lagged scatter plots and qqplots were employed to assess the non-stationarity of CPI after which appropriate smoothing techniques such as differencing were made use of to detrend the data. Formally...