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Google It Up! A Google Trends-based Uncertainty Index for the United States and Australia

Author

Listed:
  • Castelnuovo, Efrem
  • Duc Tran, Trung
Abstract
We develop uncertainty indices for the United States and Australia based on freely accessible, real time Google Trends data. Our Google Trends Uncertainty (GTU) indices are found to be positively correlated to a variety of alternative proxies for uncertainty available for these two countries. VAR investigations document an economically and statistically significant contribution to unemployment dynamics by GTU shocks in the United States. In contrast, the contribution of GTU shocks to unemployment dynamics in Australia is found to be much milder and substantially lower than that of monetary policy shocks.

Suggested Citation

  • Castelnuovo, Efrem & Duc Tran, Trung, 2017. "Google It Up! A Google Trends-based Uncertainty Index for the United States and Australia," MPRA Paper 82297, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:82297
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Google Trends Uncertainty indices; Uncertainty shocks; Unemployment Dynamics; VAR analysis.;
    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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