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Global Carbon di Oxide Emissions in Hamilton Filter Model
Journal: International Journal of Environment, Agriculture and Biotechnology (Vol.5, No. 5)Publication Date: 2020-09-10
Authors : Debesh Bhowmik;
Page : 1250-1258
Keywords : CO2 emission; Hamilton filter; seasonal adjustment; cyclical trend; ARIMA forecasting.;
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Abstract
The paper examined the cyclical trends, seasonal variation and seasonal adjustment of global CO2 emission from 1970 to 2018 through the application of Hamilton regression filter model. ARIMA (4,0,0) forecasting model for 2030 has been added with the Hamilton filter model and observed that the new model is stable, stationary and significant in which volatility is being minimised and the heteroscedasticity problem is totally disappeared.
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Last modified: 2020-10-09 17:43:11