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Macroeconomic vulnerability and disagreement in expectations

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  • Badarinza, Cristian
  • Gross, Marco

Abstract

In this paper we discuss the role of the cross-sectional heterogeneity of beliefs in the context of understanding and assessing macroeconomic vulnerability. Emphasis lies on the potential of changing levels of disagreement in expectations to influence the propensity of the economy to switch between different regimes, a hypothesis that finds robust empirical support from a regime-switching model with endogenous transition probabilities for output growth and realized stock market volatility in the US. JEL Classification: C53, D8, E32

Suggested Citation

  • Badarinza, Cristian & Gross, Marco, 2011. "Macroeconomic vulnerability and disagreement in expectations," Working Paper Series 1407, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:20111407
    Note: 3098116
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    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecbwp1407.pdf
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    References listed on IDEAS

    as
    1. Giordani, Paolo & Soderlind, Paul, 2003. "Inflation forecast uncertainty," European Economic Review, Elsevier, vol. 47(6), pages 1037-1059, December.
    2. Victor Zarnowitz & Louis A. Lambros, 1983. "Consensus and Uncertainty in Economic Prediction," NBER Working Papers 1171, National Bureau of Economic Research, Inc.
    3. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    4. Rianne Legerstee & Philip Hans Franses, 2015. "Does Disagreement Amongst Forecasters Have Predictive Value?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(4), pages 290-302, July.
    5. Daron Acemoglu, 2011. "Diversity and Technological Progress," NBER Chapters, in: The Rate and Direction of Inventive Activity Revisited, pages 319-356, National Bureau of Economic Research, Inc.
    6. Ufuk Akcigit & William R. Kerr, 2018. "Growth through Heterogeneous Innovations," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1374-1443.
    7. Laura L. Veldkamp, 2006. "Media Frenzies in Markets for Financial Information," American Economic Review, American Economic Association, vol. 96(3), pages 577-601, June.
    8. Gary Whalen, 1991. "A proportional hazards model of bank failure: an examination of its usefulness as an early warning tool," Economic Review, Federal Reserve Bank of Cleveland, vol. 27(Q I), pages 21-31.
    9. Flood, Robert & Marion, Nancy, 1999. "Perspectives on the Recent Currency Crisis Literature," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 4(1), pages 1-26, January.
    10. Francis X. Diebold & Joon-Haeng Lee & Gretchen C. Weinbach, 1993. "Regime switching with time-varying transition probabilities," Working Papers 93-12, Federal Reserve Bank of Philadelphia.
    11. Hajime Tomura, 2009. "Heterogeneous Beliefs and Housing-Market Boom-Bust Cycles in a Small Open Economy," Staff Working Papers 09-15, Bank of Canada.
    12. Kristoffer Nimark, 2009. "Speculative dynamics in the term structure of interest rates," Economics Working Papers 1194, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2012.
    13. Kajal Lahiri & Xuguang Sheng, 2010. "Measuring forecast uncertainty by disagreement: The missing link," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 514-538.
    14. Rich, Robert W & Butler, J S, 1998. "Disagreement as a Measure of Uncertainty: A Comment on Bomberger," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 30(3), pages 411-419, August.
    15. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
    16. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
    17. John Geanakoplos, 2009. "The Leverage Cycle," Cowles Foundation Discussion Papers 1715, Cowles Foundation for Research in Economics, Yale University.
    18. Yu, Jialin, 2011. "Disagreement and return predictability of stock portfolios," Journal of Financial Economics, Elsevier, vol. 99(1), pages 162-183, January.
    19. Hirshleifer, Jack, 1971. "The Private and Social Value of Information and the Reward to Inventive Activity," American Economic Review, American Economic Association, vol. 61(4), pages 561-574, September.
    20. Zarnowitz, Victor & Lambros, Louis A, 1987. "Consensus and Uncertainty in Economic Prediction," Journal of Political Economy, University of Chicago Press, vol. 95(3), pages 591-621, June.
    21. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    22. Zheng Song & Giovanni Favara, 2009. "House Price Dynamics with Heterogeneous Expectations," 2009 Meeting Papers 775, Society for Economic Dynamics.
    23. Davis, E. Philip & Karim, Dilruba, 2008. "Comparing early warning systems for banking crises," Journal of Financial Stability, Elsevier, vol. 4(2), pages 89-120, June.
    24. Bomberger, William A, 1996. "Disagreement as a Measure of Uncertainty," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(3), pages 381-392, August.
    25. J. Michael Harrison & David M. Kreps, 1978. "Speculative Investor Behavior in a Stock Market with Heterogeneous Expectations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 92(2), pages 323-336.
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    Cited by:

    1. Theresa Kuchler & Basit Zafar, 2019. "Personal Experiences and Expectations about Aggregate Outcomes," Journal of Finance, American Finance Association, vol. 74(5), pages 2491-2542, October.
    2. Young Se Kim & Byeongdeuk Jang, 2015. "Dispersion of Inflation Expectations: Stylized Facts, Puzzles, and Macroeconomic Implications," Korean Economic Review, Korean Economic Association, vol. 31, pages 89-119.
    3. Basit Zafar & Theresa Kuchler, 2015. "Expectation Formation," 2015 Meeting Papers 678, Society for Economic Dynamics.
    4. Gross, Marco & Binder, Michael, 2013. "Regime-switching global vector autoregressive models," Working Paper Series 1569, European Central Bank.

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    More about this item

    Keywords

    business cycles; endogenous transition probabilities; forecasting; Heterogeneous beliefs; regime-switching;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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