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Whither News Shocks?

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  • Robert B. Barsky
  • Susanto Basu
  • Keyoung Lee

Abstract

Does news about future productivity cause business-cycle fluctuations? What other effects might it have? We explore the answer to this question using semi-structural VARs, where “news” is defined as the innovation in the expectation of TFP at a fixed horizon in the future. We find that systems incorporating a number of forward-looking variables, including stock prices, consumption, consumer confidence and inflation, robustly predict three outcomes. First, following a news shock, TFP rises for several years. Second, inflation falls immediately and substantially, and stays low, often for 10 quarters or more. Third, there is a sharp increase in a forward-looking measure of consumer confidence. Consumption typically rises following good news, but investment, consumer durables purchases and hours worked typically fall on impact. All the quantity variables subsequently rise, as does TFP. Depending on the specification of the reduced form VAR, the activity variables may lead TFP to some extent – possibly lending some support to the hypothesis of news-driven business cycles – or they may move in lockstep with productivity. For the most part, the quantity and inflation responses are quite consistent with the predictions of a standard New Keynesian model augmented with real wage inertia.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Robert B. Barsky & Susanto Basu & Keyoung Lee, 2015. "Whither News Shocks?," NBER Macroeconomics Annual, University of Chicago Press, vol. 29(1), pages 225-264.
  • Handle: RePEc:ucp:macann:doi:10.1086/680625
    DOI: 10.1086/680625
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    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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