Global Carbon di Oxide Emissions in Hamilton Filter Model

DOI: 10.22161/ijeab.55.9

Keyword: CO2 emission, Hamilton filter, seasonal adjustment, cyclical trend, ARIMA forecasting.

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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Page No: 1250-1258

Cite this Article:

Dr. Debesh Bhowmik et al."Global Carbon di Oxide Emissions in Hamilton Filter Model". International Journal of Environment Agriculture and Biotechnology(ISSN: 2456-1878),vol 5, no. 5, 2020, pp.1250-1258 AI Publications doi:10.22161/ijeab.55.9

Dr. Debesh Bhowmik, P.(2020).Global Carbon di Oxide Emissions in Hamilton Filter Model. International Journal of Environment Agriculture and Biotechnology(ISSN: 2456-1878).5(5), 1250-1258.10.22161/ijeab.55.9

Dr. Debesh Bhowmik, P.(2020).Global Carbon di Oxide Emissions in Hamilton Filter Model. International Journal of Environment Agriculture and Biotechnology(ISSN: 2456-1878).5(5), pp.1250-1258.

Dr. Debesh Bhowmik. 2020."Global Carbon di Oxide Emissions in Hamilton Filter Model". International Journal of Environment Agriculture and Biotechnology(ISSN: 2456-1878).5(5):1250-1258.Doi:10.22161/ijeab.55.9

Dr. Debesh Bhowmik."Global Carbon di Oxide Emissions in Hamilton Filter Model", International Journal of Environment Agriculture and Biotechnology,vol.5,no. 5, pp.1250-1258,2020.

@article { dr.debeshbhowmik2020global,
title={Global Carbon di Oxide Emissions in Hamilton Filter Model},
author={Dr. Debesh Bhowmik , R},
journal={International Journal of Environment Agriculture and Biotechnology},
volume={5},
year= {2020} ,
}