Total New Hiv Infections In Gabon: A Box-Jenkins Arima Approach
Abstract
Using annual time series data on the total number of new HIV infections in Gabon from 1990 – 2018, the study makes predictions for the period 2019 – 2030. The paper employs the Box-Jenkins ARIMA methodology. The diagnostic ADF tests show that, H, the series under consideration is an I (1) variable. Based on the AIC, the study presents the ARIMA (1, 1, 0) model as the parsimonious model. The diagnostic tests further reveal that the presented model is very stable and its residuals are not serially correlated. The results of the study indicate that the total number of new HIV infections in Gabon is likely to continue declining over the out-of-sample period.
References
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