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Modelling sectoral GDPS for forecasting Indian GDP using ARMA models

Kumar, Jitendra; Mishra, A. K. - In: Indian journal of economics & business : IJEB 15 (2016) 1, pp. 181-195

Persistent link: https://www.econbiz.de/10011534332

Forecasting Australian unemployment rates using spectral analysis

Wilson, Patrick James; Perry, Leonard J. - In: Australian journal of labour economics : a journal of … 7 (2004) 4, pp. 459-480

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Modeling and forecasting by the vector autoregressive moving average model for export of coal and oil data (case study from Indonesia over the years 2002-2017)

Warsono; Russel, Edwin; Wamiliana; Widiarti; Mustofa Usman - In: International Journal of Energy Economics and Policy : IJEEP 9 (2019) 4, pp. 240-247

Persistent link: https://www.econbiz.de/10012386807

Forecasting European Union CO2 emissions using autoregressive integrated moving average-autoregressive conditional heteroscedasticity models

Dritsaki, Melina; Dritsaki, Chaido - In: International Journal of Energy Economics and Policy : IJEEP 10 (2020) 4, pp. 411-423

Persistent link: https://www.econbiz.de/10012504221

Comparison of ARIMA, ETS, NNAR, TBATS and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy

Perone, Gaetano - In: The European journal of health economics 23 (2022) 6, pp. 917-940

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Chinese GDP Forecast Using ARIMA Model

Ali, Fawaz - 2023

China's economy is very interesting to analyze because it is recognized as the highest GDP in the world. Despite the ability of China's economy to reform and grow, China shows fluctuation in its economy especially after the crisis in 1997 and 2008. When China was able to counter the...

Persistent link: https://www.econbiz.de/10014355201