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Do shocks to animal spirits cause output fluctuations?

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  • Christopher Biolsi
  • Bocong Du

Abstract

We evaluate whether shocks to “animal spirits” affect real outcomes at business cycle frequencies, using data on consumer confidence and region‐ and state‐level coincident activity indexes in a vector autoregression (VAR) with long run restrictions. We assume that animal spirits shocks do not affect the long run level of activity. Innovations in fundamentals explain most variation in the level of activity, but animal spirits have economically significant effects at business cycle frequencies. A positive innovation in animal spirits causes real activity to rise by between 0.2 and 0.6% in the medium term, and animal spirits may explain up to about half of real fluctuations in the medium run.

Suggested Citation

  • Christopher Biolsi & Bocong Du, 2020. "Do shocks to animal spirits cause output fluctuations?," Southern Economic Journal, John Wiley & Sons, vol. 87(1), pages 331-368, July.
  • Handle: RePEc:wly:soecon:v:87:y:2020:i:1:p:331-368
    DOI: 10.1002/soej.12452
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    1. Stephanie Schmitt‐Grohé & Martín Uribe, 2012. "What's News in Business Cycles," Econometrica, Econometric Society, vol. 80(6), pages 2733-2764, November.
    2. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    3. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Thomas J. Sargent & Mark W. Watson, 2007. "ABCs (and Ds) of Understanding VARs," American Economic Review, American Economic Association, vol. 97(3), pages 1021-1026, June.
    4. Miles S. Kimball & John G. Fernald & Susanto Basu, 2006. "Are Technology Improvements Contractionary?," American Economic Review, American Economic Association, vol. 96(5), pages 1418-1448, December.
    5. Olivier Blanchard & Jordi Galí, 2010. "Labor Markets and Monetary Policy: A New Keynesian Model with Unemployment," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 1-30, April.
    6. Arias, Maria A. & Gascon, Charles S. & Rapach, David E., 2016. "Metro business cycles," Journal of Urban Economics, Elsevier, vol. 94(C), pages 90-108.
    7. Jordi Gali, 1999. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," American Economic Review, American Economic Association, vol. 89(1), pages 249-271, March.
    8. Carroll, Christopher D & Fuhrer, Jeffrey C & Wilcox, David W, 1994. "Does Consumer Sentiment Forecast Household Spending? If So, Why?," American Economic Review, American Economic Association, vol. 84(5), pages 1397-1408, December.
    9. Galí, Jordi, 2010. "Monetary Policy and Unemployment," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 10, pages 487-546, Elsevier.
    10. Olivier J. Blanchard & Jean-Paul L'Huillier & Guido Lorenzoni, 2013. "News, Noise, and Fluctuations: An Empirical Exploration," American Economic Review, American Economic Association, vol. 103(7), pages 3045-3070, December.
    11. Jess Benhabib & Pengfei Wang & Yi Wen, 2015. "Sentiments and Aggregate Demand Fluctuations," Econometrica, Econometric Society, vol. 83, pages 549-585, March.
    12. Forni, Mario & Gambetti, Luca, 2014. "Sufficient information in structural VARs," Journal of Monetary Economics, Elsevier, vol. 66(C), pages 124-136.
    13. Raven Molloy & Christopher L. Smith & Abigail Wozniak, 2011. "Internal Migration in the United States," Journal of Economic Perspectives, American Economic Association, vol. 25(3), pages 173-196, Summer.
    14. Ganong, Peter & Shoag, Daniel, 2017. "Why has regional income convergence in the U.S. declined?," Journal of Urban Economics, Elsevier, vol. 102(C), pages 76-90.
    15. Jess Benhabib & Pengfei Wang & Yi Wen, 2017. "Uncertainty and Sentiment-Driven Equilibria," Studies in Economic Theory, in: Kazuo Nishimura & Alain Venditti & Nicholas C. Yannelis (ed.), Sunspots and Non-Linear Dynamics, chapter 0, pages 281-304, Springer.
    16. Ryan Chahrour & Kyle Jurado, 2018. "News or Noise? The Missing Link," American Economic Review, American Economic Association, vol. 108(7), pages 1702-1736, July.
    17. Robert B. Barsky & Eric R. Sims, 2012. "Information, Animal Spirits, and the Meaning of Innovations in Consumer Confidence," American Economic Review, American Economic Association, vol. 102(4), pages 1343-1377, June.
    18. Emi Nakamura & J?n Steinsson, 2014. "Fiscal Stimulus in a Monetary Union: Evidence from US Regions," American Economic Review, American Economic Association, vol. 104(3), pages 753-792, March.
    19. Chari, V.V. & Kehoe, Patrick J. & McGrattan, Ellen R., 2008. "Are structural VARs with long-run restrictions useful in developing business cycle theory?," Journal of Monetary Economics, Elsevier, vol. 55(8), pages 1337-1352, November.
    20. Bachmann, Rüdiger & Sims, Eric R., 2012. "Confidence and the transmission of government spending shocks," Journal of Monetary Economics, Elsevier, vol. 59(3), pages 235-249.
    21. Lucas, Robert Jr., 1972. "Expectations and the neutrality of money," Journal of Economic Theory, Elsevier, vol. 4(2), pages 103-124, April.
    22. Jess Benhabib & Mark M Spiegel, 2019. "Sentiments and Economic Activity: Evidence from US States," The Economic Journal, Royal Economic Society, vol. 129(618), pages 715-733.
    23. Roberto Perotti, 2014. "Defense Government Spending Is Contractionary, Civilian Government Spending Is Expansionary," NBER Working Papers 20179, National Bureau of Economic Research, Inc.
    24. Thomas A. Garrett & Ruben Hernandez-Murillo & Michael T. Owyang, 2005. "Does consumer sentiment predict regional consumption?," Review, Federal Reserve Bank of St. Louis, vol. 87(Mar), pages 123-135.
    25. Harald Uhlig, 2004. "Do Technology Shocks Lead to a Fall in Total Hours Worked?," Journal of the European Economic Association, MIT Press, vol. 2(2-3), pages 361-371, 04/05.
    26. repec:wly:soecon:v:82:2:y:2015:p:343-360 is not listed on IDEAS
    27. Owyang, Michael T. & Zubairy, Sarah, 2013. "Who benefits from increased government spending? A state-level analysis," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 445-464.
    28. Gerald Carlino & Robert Defina, 1998. "The Differential Regional Effects Of Monetary Policy," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 572-587, November.
    29. James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409, National Bureau of Economic Research, Inc.
    30. Christian Gillitzer & Nalini Prasad, 2018. "The Effect of Consumer Sentiment on Consumption: Cross-Sectional Evidence from Elections," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(4), pages 234-269, October.
    31. Guido Lorenzoni, 2009. "A Theory of Demand Shocks," American Economic Review, American Economic Association, vol. 99(5), pages 2050-2084, December.
    32. Beckworth, David, 2010. "One nation under the fed? The asymmetric effects of US monetary policy and its implications for the United States as an optimal currency area," Journal of Macroeconomics, Elsevier, vol. 32(3), pages 732-746, September.
    33. Theodore M. Crone & Alan Clayton-Matthews, 2005. "Consistent Economic Indexes for the 50 States," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 593-603, November.
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    2. Christopher Biolsi & Alex Lebedinsky, 2021. "Can changes in sentiments influence consumer behavior? Evidence from the Trump‐Russia investigation," Economic Inquiry, Western Economic Association International, vol. 59(4), pages 1569-1592, October.

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