Nowcasting GDP using machine-learning algorithms: A real-time assessment

Can machine-learning algorithms help central banks understand the current state of the economy? Our results say yes! We contribute to the emerging literature on forecasting macroeconomic variables using machine-learning algorithms by testing the nowcast performance of common algorithms in a full ‘re...

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Veröffentlicht in:	International journal of forecasting 2021-04, Vol.37 (2), p.941-948
Hauptverfasser:	Richardson, Adam, van Florenstein Mulder, Thomas, Vehbi, Tuğrul
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Central banks Data mining Forecast evaluation Forecasting practice Gross domestic product Machine learning Macroeconomic forecasting Nowcasting
Online-Zugang:	Volltext
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