Forecast Analysis of Ghana’s Gross Domestic Product in Economic Growth using Time Series ARIMA
نویسندگان
چکیده
This paper analyses Ghana’s gross domestic product using time series Autoregressive Integrated Moving Average (ARIMA). Time analysis involves the application of statistical models to data and is useful for analysing dynamics Gross product. The products (GDP) from 1980 2020 were obtained International Monetary Fund (IMF) datasets. Box Jenkins’s methodology was employed analyse data. autocorrelation function (ACF) partial (PACF) plot suggested an Autoregression order one AR(1). (ARIMA) minimum AIC criteria. Model diagnostics tests performed Ljung-Box test. established that GDP will incline throughout period 2021-2025.
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ژورنال
عنوان ژورنال: Asian research journal of mathematics
سال: 2022
ISSN: ['2456-477X']
DOI: https://doi.org/10.9734/arjom/2022/v18i230359