Handbook of Research Methods and Applications in Macroeconomic Forecasting

Bringing together the recent advances and innovative methods in macroeconomic forecasting, this erudite Handbook outlines how to forecast, including following world events such as the Covid-19 pandemic and the global financial crisis.

With contributions from global experts, chapters explore the use of machine-learning techniques, the value of social media data, and climate change forecasting. Investigating the opportunities and challenges brought about by ‘Big Data’, it examines how data can be used for forecasting by economists and analysts in international organisations as well as private practice. Utilising econometric techniques, it helps quantify the uncertainties regarding the future.

The insightful Handbook is an excellent resource for scholars of advanced macroeconomic forecasting, as well as those requiring a better understanding of econometrics, statistics, and modelling approaches. Practitioners in both private and public sectors will greatly appreciate the expert guidance for good future forecasting practices.

Contributor: Michael P. Clements (Edited by), Ana Beatriz Galvão (Edited by)

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