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Non-macro-based Google searches, uncertainty, and real economic activity

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  • Donadelli, Michael
  • Gerotto, Luca

Abstract

We propose a set of novel non-macro-based uncertainty indicators that rely on the frequency of Google searches (NM-GSIs) for the following health-, environmental-, security-, and political-related topics: “Symptom”, “Pollution”, “Terrorism”, and “Election”. By means of VAR investigations, we document that an intensification of people interest in non-macro-based topics harms the US real economic activity. In particular, NM-GSI shocks generate (i) a significant drop in consumer credit and (ii) a mild decrease (increase) in production (unemployment) levels. Noteworthy, rising non-macro-based uncertainty is found to have stronger influence on the outstanding level of consumer credit than rising macro-based uncertainty. Our findings suggest that increasing interest in specific non-macro-based topics might be associated with raising people's anxiety. A battery of robustness checks confirms our main findings.

Suggested Citation

  • Donadelli, Michael & Gerotto, Luca, 2019. "Non-macro-based Google searches, uncertainty, and real economic activity," Research in International Business and Finance, Elsevier, vol. 48(C), pages 111-142.
  • Handle: RePEc:eee:riibaf:v:48:y:2019:i:c:p:111-142
    DOI: 10.1016/j.ribaf.2018.12.007
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    1. Caggiano, Giovanni & Castelnuovo, Efrem & Groshenny, Nicolas, 2014. "Uncertainty shocks and unemployment dynamics in U.S. recessions," Journal of Monetary Economics, Elsevier, vol. 67(C), pages 78-92.
    2. Zhi Da & Joseph Engelberg & Pengjie Gao, 2015. "Editor's Choice The Sum of All FEARS Investor Sentiment and Asset Prices," Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 1-32.
    3. Mr. Christopher Carroll & Mr. Martin Sommer & Mr. Jiri Slacalek, 2012. "Dissecting Saving Dynamics: Measuring Wealth, Precautionary, and Credit Effects," IMF Working Papers 2012/219, International Monetary Fund.
    4. Colombo, Valentina, 2013. "Economic policy uncertainty in the US: Does it matter for the Euro area?," Economics Letters, Elsevier, vol. 121(1), pages 39-42.
    5. Donadelli, M. & Jüppner, M. & Riedel, M. & Schlag, C., 2017. "Temperature shocks and welfare costs," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 331-355.
    6. Bijl, Laurens & Kringhaug, Glenn & Molnár, Peter & Sandvik, Eirik, 2016. "Google searches and stock returns," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 150-156.
    7. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    8. Ravi Bansal & Dana Kiku & Marcelo Ochoa, 2016. "Price of Long-Run Temperature Shifts in Capital Markets," NBER Working Papers 22529, National Bureau of Economic Research, Inc.
    9. Balvers, Ronald & Du, Ding & Zhao, Xiaobing, 2017. "Temperature shocks and the cost of equity capital: Implications for climate change perceptions," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 18-34.
    10. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    11. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    12. Castelnuovo, Efrem & Tran, Trung Duc, 2017. "Google It Up! A Google Trends-based Uncertainty index for the United States and Australia," Economics Letters, Elsevier, vol. 161(C), pages 149-153.
    13. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    14. R?diger Bachmann & Steffen Elstner & Eric R. Sims, 2013. "Uncertainty and Economic Activity: Evidence from Business Survey Data," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 217-249, April.
    15. Caggiano, Giovanni & Castelnuovo, Efrem & Figueres, Juan Manuel, 2017. "Economic policy uncertainty and unemployment in the United States: A nonlinear approach," Economics Letters, Elsevier, vol. 151(C), pages 31-34.
    16. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    17. Kaplanski, Guy & Levy, Haim, 2010. "Sentiment and stock prices: The case of aviation disasters," Journal of Financial Economics, Elsevier, vol. 95(2), pages 174-201, February.
    18. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    19. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    20. Donadelli, Michael & Kizys, Renatas & Riedel, Max, 2017. "Dangerous infectious diseases: Bad news for Main Street, good news for Wall Street?," Journal of Financial Markets, Elsevier, vol. 35(C), pages 84-103.
    21. Michael Donadelli, 2015. "Google search-based metrics, policy-related uncertainty and macroeconomic conditions," Applied Economics Letters, Taylor & Francis Journals, vol. 22(10), pages 801-807, July.
    22. Dzielinski, Michal, 2012. "Measuring economic uncertainty and its impact on the stock market," Finance Research Letters, Elsevier, vol. 9(3), pages 167-175.
    23. Gur Huberman & Tomer Regev, 2001. "Contagious Speculation and a Cure for Cancer: A Nonevent that Made Stock Prices Soar," Journal of Finance, American Finance Association, vol. 56(1), pages 387-396, February.
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    More about this item

    Keywords

    Non-macro-based uncertainty; Google searches; Anxiety; Consumer credit; Business cycle;
    All these keywords.

    JEL classification:

    • 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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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