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TFP, News, and "Sentiments:" The International Transmission of Business Cycles

Listed author(s):
  • Andrei A. Levchenko
  • Nitya Pandalai-Nayar

We propose a novel identification scheme for a non-technology business cycle shock, that we label "sentiment." This is a shock orthogonal to identified surprise and news TFP shocks that maximizes the short-run forecast error variance of an expectational variable, alternatively a GDP forecast or a consumer confidence index. We then estimate the international transmission of three identified shocks – surprise TFP, news of future TFP, and "sentiment" – from the US to Canada. The US sentiment shock produces a business cycle in the US, with output, hours, and consumption rising following a positive shock, and accounts for the bulk of short-run business cycle fluctuations in the US. The sentiment shock also has a significant impact on Canadian macro aggregates. In the short run, it is more important than either the surprise or the news TFP shocks in generating business cycle comovement between the US and Canada, accounting for up to 50% of the forecast error variance of Canadian GDP and about one-third of Canadian hours, imports, and exports. The news shock is responsible for some comovement at 5-10 years, and surprise TFP innovations do not generate synchronization.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 21010.

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Date of creation: Mar 2015
Handle: RePEc:nbr:nberwo:21010
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  1. Wen, Yi, 2007. "By force of demand: Explaining international comovements," Journal of Economic Dynamics and Control, Elsevier, vol. 31(1), pages 1-23, January.
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  3. Kosaka Michiru Sakane, 2013. "News-driven international business cycles," The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 1-43, May.
  4. Barsky, Robert B. & Sims, Eric R., 2011. "News shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 58(3), pages 273-289.
  5. Neville Francis & Michael T. Owyang & Jennifer E. Roush & Riccardo DiCecio, 2014. "A Flexible Finite-Horizon Alternative to Long-Run Restrictions with an Application to Technology Shocks," The Review of Economics and Statistics, MIT Press, vol. 96(4), pages 638-647, October.
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  17. Jordi Gali Garreta & Pau Rabanal, 2004. "Technology Shocks and Aggregate Fluctuations; How Well Does the RBC Model Fit Postwar U.S. Data?," IMF Working Papers 04/234, International Monetary Fund.
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  21. Fabio Milani, 2014. "Sentiment and the US Business Cycle," Working Papers 141504, University of California-Irvine, Department of Economics.
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