Modelling consumer price index inflation in Ghana

dc.contributor.author	Apam, Benjamin
dc.date.accessioned	2021-08-30T15:44:26Z
dc.date.available	2021-08-30T15:44:26Z
dc.date.issued	2017
dc.identifier.issn	23105496
dc.identifier.uri	http://hdl.handle.net/123456789/6006
dc.description	10p:, ill.	en_US
dc.description.abstract	This paper aims to develop a model for CPI inflation of Ghana using data on CPI inflation obtain from the Bank of Ghana database within the period 2000 to 2011. Based on the method of maximum likelihood and the lower lags of the ACF and PACF, ARIMA (0, 1, 1) X (0, 1, 1)12 was identified as the tentative model for the CPI inflation data in Ghana. The diagnostic check revealed that the residuals of the fitted model have zero mean, constant variance, and free from higher-order serial correlation. The Ljung-Box statistics and the time series plot of the model residuals clearly indicated no significant departure from white noise. The model was found to be free from conditional heteroscedasticity following the ARCH-LM test	en_US
dc.language.iso	en	en_US
dc.publisher	University of Cape Coast	en_US
dc.subject	SARIMA	en_US
dc.subject	Macroeconomic variables	en_US
dc.subject	Ghana	en_US
dc.subject	Modeling	en_US
dc.subject	ARCH-LM	en_US
dc.subject	ARIMA	en_US
dc.title	Modelling consumer price index inflation in Ghana	en_US
dc.type	Article	en_US