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Uncertainty, Perception and the Internet

Author

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  • M. E. Bontempi
  • M. Frigeri
  • R. Golinelli
  • M. Squadrani

Abstract

Macroeconomic uncertainty consists of three components: the unobservable, the heterogeneous and the uncertain . We are unaware of exactly when economic agents perceive uncertainty and which type of uncertainty interests them. This paper introduces and outlines a way of conducting large-scale data searches on the Web. We create the EURQ index of economic uncertainty related queries for both the USA and Italy. We show that the EURQ encapsulates agents need to gather more information during periods of uncertainty. This need either spontaneously arises in the case of macro-real and political uncertainty, or is induced by the media in the case of normative and financial uncertainty. This distinction is extremely important when trying to understand the immediate impact of fiscal policy uncertainty on economic variables, and how financial shocks can produce a significant short-term impact on economic activity. It is also helpful when trying to solve the identification and endogeneity issues encountered in the literature when assessing the role of uncertainty.

Suggested Citation

  • M. E. Bontempi & M. Frigeri & R. Golinelli & M. Squadrani, 2019. "Uncertainty, Perception and the Internet," Working Papers wp1134, Dipartimento Scienze Economiche, Universita' di Bologna.
  • Handle: RePEc:bol:bodewp:wp1134
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    References listed on IDEAS

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    Cited by:

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    2. Chen, Min & Zhu, Zhaobo & Han, Peiwen & Chen, Bo & Liu, Jia, 2022. "Economic policy uncertainty and analyst behaviours: Evidence from the United Kingdom," International Review of Financial Analysis, Elsevier, vol. 79(C).
    3. Daniela Fantozzi & Alessio Muscarnera, 2021. "A News-based Policy Index for Italy: Expectations and Fiscal Policy," CEIS Research Paper 509, Tor Vergata University, CEIS, revised 11 Mar 2021.
    4. 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.
    5. Laurent Ferrara & Anna Simoni, 2023. "When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1188-1202, October.
    6. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia, 2023. "Do commodity markets catch a cold from stock markets? Modelling uncertainty spillovers using Google search trends and wavelet coherence," International Review of Financial Analysis, Elsevier, vol. 87(C).
    7. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2023. "Which COVID-19 information really impacts stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    8. Bouri, Elie & Gupta, Rangan, 2021. "Predicting Bitcoin returns: Comparing the roles of newspaper- and internet search-based measures of uncertainty," Finance Research Letters, Elsevier, vol. 38(C).
    9. Szczygielski, Jan Jakub & Bwanya, Princess Rutendo & Charteris, Ailie & Brzeszczyński, Janusz, 2021. "The only certainty is uncertainty: An analysis of the impact of COVID-19 uncertainty on regional stock markets," Finance Research Letters, Elsevier, vol. 43(C).
    10. Donadelli, Michael & Lalanne, Marie, 2020. "Sex and “the City”: Financial stress and online pornography consumption," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    11. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2022. "The impact and role of COVID-19 uncertainty: A global industry analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).
    12. Min Chen & Zhaobo Zhu & Peiwen Han & Bo Chen & Jia Liu, 2022. "Economic policy uncertainty and analyst behaviours: Evidence from the United Kingdom," Post-Print hal-03628930, HAL.

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    More about this item

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E66 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General Outlook and Conditions
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • H30 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - General

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