IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

Growth Expectations, Undue Optimism, and Short-Run Fluctuations

  • Zeno Enders
  • Michael Kleemann
  • Gernot Müller

We assess the contribution of “undue optimism” (Pigou) to short-run fluctuations. In our analysis, optimism pertains to total factor productivity which determines economic activity in the long run, but is not contemporaneously observed by market participants. In order to recover optimism shocks - autonomous, but fundamentally unwarranted changes in the assessment of productivity - from actual time series, we rely on an informational advantage over market participants. Specifically, we compute the nowcast error regarding current output growth drawing on the Survey of Professional Forecasters. Including nowcast errors in a vector autoregression model makes it possible to identify optimism shocks. Optimism shocks, in line with theory, induce a negative nowcast error but raise economic activity in the short run. They account for up to 30 percent of short-run fluctuations.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.cesifo-group.de/portal/page/portal/DocBase_Content/WP/WP-CESifo_Working_Papers/wp-cesifo-2013/wp-cesifo-2013-12/cesifo1_wp4548.pdf
Download Restriction: no

Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number 4548.

as
in new window

Length:
Date of creation: 2013
Date of revision:
Handle: RePEc:ces:ceswps:_4548
Contact details of provider: Postal:
Poschingerstrasse 5, 81679 Munich

Phone: +49 (89) 9224-0
Fax: +49 (89) 985369
Web page: http://www.cesifo-group.de
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. G. Peersman, 2004. "What caused the early millennium slowdown? Evidence based on vector autoregressions," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/235, Ghent University, Faculty of Economics and Business Administration.
  2. Arias, Jonas E. & Rubio-Ramírez, Juan Francisco & Waggoner, Daniel F, 2014. "Inference Based on SVAR Identified with Sign and Zero Restrictions: Theory and Applications," CEPR Discussion Papers 9796, C.E.P.R. Discussion Papers.
  3. Juan F. Rubio-Ramírez & Jonas E. Arias & Daniel F. Waggoner, 2013. "Inference Based on SVARs Identied with Sign and Zero Restrictions: Theory and Applications," Working Papers 1338, BBVA Bank, Economic Research Department.
  4. Eric Sims & Ruediger Bachmann, 2011. "Confidence and the Transmission of Government Spending Shocks," 2011 Meeting Papers 83, Society for Economic Dynamics.
  5. 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.
  6. Patrick Hürtgen, 2011. "Consumer Misperceptions, Uncertain Fundamentals, and the Business Cycle," Bonn Econ Discussion Papers bgse10_2011, University of Bonn, Germany.
  7. Nir Jaimovich & Sergio Rebelo, 2006. "Can News About the Future Drive the Business Cycle?," NBER Working Papers 12537, National Bureau of Economic Research, Inc.
  8. Olivier Coibion & Yuriy Gorodnichenko, 2010. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," NBER Working Papers 16537, National Bureau of Economic Research, Inc.
  9. Jon Faust & John H. Rogers & Jonathan H. Wright, 2000. "News and noise in G-7 GDP announcements," International Finance Discussion Papers 690, Board of Governors of the Federal Reserve System (U.S.).
  10. Dean Croushore, 1993. "Introducing: the survey of professional forecasters," Business Review, Federal Reserve Bank of Philadelphia, issue Nov, pages 3-15.
  11. Margaret M. McConnell & Gabriel Perez-Quiros, 2000. "Output fluctuations in the United States: what has changed since the early 1980s?," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
  12. Sylvain Leduc & Keith Sill, 2013. "Expectations and Economic Fluctuations: An Analysis Using Survey Data," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1352-1367, October.
  13. George-Marios Angeletos & Fabrice Collard & Harris Dellas, 2014. "Quantifying Confidence," NBER Working Papers 20807, National Bureau of Economic Research, Inc.
  14. Christina D. Romer & David H. Romer, 2007. "The Macroeconomic Effects of Tax Changes: Estimates Based on a New Measure of Fiscal Shocks," NBER Working Papers 13264, National Bureau of Economic Research, Inc.
  15. Yuriy Gorodnichenko & Olivier Coibion, 2010. "What can survey forecasts tell us about informational rigidities?," 2010 Meeting Papers 277, Society for Economic Dynamics.
  16. Paul Beaudry & Deokwoo Nam & Jian Wang, 2011. "Do Mood Swings Drive Business Cycles and is it Rational?," NBER Working Papers 17651, National Bureau of Economic Research, Inc.
  17. Stark, Tom & Croushore, Dean, 2002. "Forecasting with a real-time data set for macroeconomists," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 507-531, December.
  18. 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.
  19. 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.
  20. Enders, Zeno & Müller, Gernot & Scholl, Almuth, 2010. "How do Fiscal and Technology Shocks affect Real Exchange Rates? New Evidence for the United States," CEPR Discussion Papers 7732, C.E.P.R. Discussion Papers.
  21. Christina D. Romer & David H. Romer, 2003. "A New Measure of Monetary Shocks: Derivation and Implications," NBER Working Papers 9866, National Bureau of Economic Research, Inc.
  22. 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.
  23. Clarida, Richard & Galí, Jordi & Gertler, Mark, 1998. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," CEPR Discussion Papers 1908, C.E.P.R. Discussion Papers.
  24. Stark, Tom & Croushore, Dean, 2002. "Reply to the comments on 'Forecasting with a real-time data set for macroeconomists'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 563-567, December.
  25. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, 05.
  26. Francis, Neville & Ramey, Valerie A., 2005. "Is the technology-driven real business cycle hypothesis dead? Shocks and aggregate fluctuations revisited," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1379-1399, November.
  27. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
  28. Beaudry, Paul & Portier, Franck, 2001. "An Exploration into Pigou's Theory of Cycles," CEPR Discussion Papers 2996, C.E.P.R. Discussion Papers.
  29. Zeno Enders & Almut Balleer, 2012. "Expansionary and Contractionary Technology Shocks," 2012 Meeting Papers 812, Society for Economic Dynamics.
  30. De Graeve, Ferre & Westermark, Andreas, 2013. "Un-truncating VARs," Working Paper Series 271, Sveriges Riksbank (Central Bank of Sweden).
  31. 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 1343-77, June.
  32. Jordi Galí & Pau Rabanal, 2005. "Technology Shocks and Aggregate Fluctuations: How Well Does the Real Business Cycle Model Fit Postwar U.S. Data?," NBER Chapters, in: NBER Macroeconomics Annual 2004, Volume 19, pages 225-318 National Bureau of Economic Research, Inc.
  33. Barsky, Robert B. & Sims, Eric R., 2011. "News shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 58(3), pages 273-289.
  34. Oh, S. & Waldman, M., 1990. "The Macroeconomic Effects Of False Announcements," Papers 17, California Los Angeles - Applied Econometrics.
  35. Seonghwan Oh & Michael Waldman, 2005. "The Index of Leading Economic Indicators as a Source of Expectational Shocks," Eastern Economic Journal, Eastern Economic Association, vol. 31(1), pages 75-95, Winter.
  36. William D. Nordhaus, 1985. "Forecasting Efficiency: Concepts and Applications," Cowles Foundation Discussion Papers 774, Cowles Foundation for Research in Economics, Yale University.
  37. Guido Lorenzoni, 2009. "A Theory of Demand Shocks," American Economic Review, American Economic Association, vol. 99(5), pages 2050-84, December.
  38. Balleer, Almut & Enders, Zeno, 2013. "Expansionary and Contractionary Technology Improvements," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 80046, Verein für Socialpolitik / German Economic Association.
  39. Blanchard, O., 1993. "Consumption and the Recession of 1990-1991," Working papers 93-5, Massachusetts Institute of Technology (MIT), Department of Economics.
  40. Rodriguez Mora, Jose V. & Schulstad, Paul, 2007. "The effect of GNP announcements on fluctuations of GNP growth," European Economic Review, Elsevier, vol. 51(8), pages 1922-1940, November.
  41. Zarnowitz, Victor, 1985. "Rational Expectations and Macroeconomic Forecasts," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(4), pages 293-311, October.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:ces:ceswps:_4548. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Klaus Wohlrabe)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.