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Information rigidities and the news-adjusted output gap

Author

Listed:
  • Garratt, Anthony
  • Lee, Kevin
  • Shields, Kalvinder

Abstract

A vector-autoregressive model of actual output and expected output obtained from surveys is used to test for information rigidities and to provide a characterisation of output dynamics that accommodates these information structures. News on actual and expected outputs is decomposed to identify innovations understood to have short-lived effects and these are used with the model to derive a ‘news-adjusted output gap׳ measure. The approach is applied to US data over 1970q1–2014q2 and the new gap measure is shown to provide a good leading indicator of inflation.

Suggested Citation

  • Garratt, Anthony & Lee, Kevin & Shields, Kalvinder, 2016. "Information rigidities and the news-adjusted output gap," Journal of Economic Dynamics and Control, Elsevier, vol. 70(C), pages 1-17.
    • Handle: RePEc:eee:dyncon:v:70:y:2016:i:c:p:1-17
    DOI: 10.1016/j.jedc.2016.06.004
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    References listed on IDEAS

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    Keywords

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    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
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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