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EURQ: A New Web Search‐based Uncertainty Index

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  • Maria Elena Bontempi
  • Michele Frigeri
  • Roberto Golinelli
  • Matteo Squadrani

Abstract

Measuring economic uncertainty is extremely important for evaluating its role in economic activity. Nevertheless, measuring uncertainty is a difficult task since we do not know when economic agents perceive uncertainty and which type of uncertainty affects them. This paper introduces the economic uncertainty related queries (EURQ) index, computed for both the USA and Italy, which measures economic, political and normative uncertainty through large‐scale searches on the internet. We show that the EURQ index captures economic agents’ need for information in response to uncertainty shocks. Moreover, we show that this need for information is not just curiosity triggered by press coverage but rather captures individuals’ genuine interest, particularly in specific topics subject to uncertainty. Hence the EURQ index can be exploited fruitfully to measure the level of uncertainty perceived by economic agents and to assess the role of specific types of uncertainty in economic activity.

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  • Maria Elena Bontempi & Michele Frigeri & Roberto Golinelli & Matteo Squadrani, 2021. "EURQ: A New Web Search‐based Uncertainty Index," Economica, London School of Economics and Political Science, vol. 88(352), pages 969-1015, October.
  • Handle: RePEc:bla:econom:v:88:y:2021:i:352:p:969-1015
    DOI: 10.1111/ecca.12372
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    7. Puhr, Harald & Müllner, Jakob, 2024. "Vox populi, vox dei: A concept and measure for grassroots socio-political risk using Google Trends," Journal of International Management, Elsevier, vol. 30(2).
    8. Efrem Castelnuovo, 2022. "Uncertainty Before and During COVID-19: A Survey," "Marco Fanno" Working Papers 0279, Dipartimento di Scienze Economiche "Marco Fanno".
    9. Maria Elena Bontempi & Jan Ditzen, 2023. "GMM-lev estimation and individual heterogeneity: Monte Carlo evidence and empirical applications," Papers 2312.00399, arXiv.org, revised Dec 2023.

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