MACROECONOMIC POLICYMAKING/GOOGLE TRENDS/MACHINE LEARNING/OECD – Tracking GDP using Google Trends and machine learning: A new OECD model (Nicolas Woloszko, VOXEU)

December 20, 2020

A pre-requisite for good macroeconomic policymaking is timely information on the current state of the economy, particularly when economic activity is changing rapidly. Given that GDP figures are usually only available on a quarterly basis, the current crisis has prompted a search for alternative high‑frequency indicators of economic activity. This column presents evidence from a new tracker developed by OECD which uses Google Trends and machine learning to provide real-time estimates of GDP growth in countries all over the world.

https://voxeu.org/article/tracking-gdp-using-google-trends-and-machine-learning

Marco Emanuele

Marco Emanuele è appassionato di cultura della complessità, cultura della tecnologia e relazioni internazionali. Approfondisce il pensiero di Hannah Arendt, Edgar Morin, Raimon Panikkar. Marco ha insegnato Evoluzione della Democrazia e Totalitarismi, è l’editor di The Global Eye e scrive per The Science of Where Magazine. Marco Emanuele is passionate about complexity culture, technology culture and international relations. He delves into the thought of Hannah Arendt, Edgar Morin, Raimon Panikkar. He has taught Evolution of Democracy and Totalitarianisms. Marco is editor of The Global Eye and writes for The Science of Where Magazine.

MACROECONOMIC POLICYMAKING/GOOGLE TRENDS/MACHINE LEARNING/OECD – Tracking GDP using Google Trends and machine learning: A new OECD model (Nicolas Woloszko, VOXEU)

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