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The role of confidence shocks in business cycles and their global dimension

Author

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  • Stephane Dees

    (Larefi - Laboratoire d'analyse et de recherche en économie et finance internationales - UB - Université de Bordeaux)

Abstract

This paper uses survey data on consumer sentiment to identify the causal effects of confidence shocks on real economic activity in a selection of advanced economies. Starting from a set of closed-economy VAR models, we show that these shocks have a significant and persistent impact on domestic consumption and real GDP. In line with the existing literature, we find that confidence shocks explain a large share of the forecast error variance of real economic activity. At the same time, the shocks we identify are significantly correlated across countries. In order to account for common global components in international confidence cycles, we extend the analysis to a FAVAR model. This approach proves effective in removing the correlation in country-specific confidence shocks and in isolating mutually orthogonal idiosyncratic components. As a result, the (domestic and cross-border) effects of country-specific confidence shocks are attenuated and the forecast error variance contributions are reduced. Overall, our findings suggest that, while confidence shocks play an important role in domestic business cycle fluctuations, they contain a strong common component, which confirms their global dimension.

Suggested Citation

  • Stephane Dees, 2017. "The role of confidence shocks in business cycles and their global dimension," Post-Print hal-03879746, HAL.
  • Handle: RePEc:hal:journl:hal-03879746
    DOI: 10.1016/j.inteco.2017.03.004
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    References listed on IDEAS

    as
    1. Stephane Dees & Pedro Soares Brinca, 2013. "Consumer confidence as a predictor of consumption spending: Evidence for the United States and the Euro area," International Economics, CEPII research center, issue 134, pages 1-14.
    2. 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.
    3. 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.
    4. Mario Forni & Luca Gambetti & Luca Sala, 2014. "No News in Business Cycles," Economic Journal, Royal Economic Society, vol. 124(581), pages 1168-1191, December.
    5. Renée Fry & Adrian Pagan, 2011. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 938-960, December.
    6. 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.
    7. Barsky, Robert B. & Sims, Eric R., 2011. "News shocks and business cycles," Journal of Monetary Economics, Elsevier, vol. 58(3), pages 273-289.
    8. Paul Beaudry & Franck Portier, 2006. "Stock Prices, News, and Economic Fluctuations," American Economic Review, American Economic Association, vol. 96(4), pages 1293-1307, September.
    9. Bergeaud, A. & Cette, G. & Lecat, R., 2015. "Productivity trends from 1890 to 2012 in advanced countries," Rue de la Banque, Banque de France, issue 07, June..
    10. Mario Forni & Luca Gambetti & Marco Lippi & Luca Sala, 2017. "Noisy News in Business Cycles," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(4), pages 122-152, October.
    11. Andrew Mountford & Harald Uhlig, 2009. "What are the effects of fiscal policy shocks?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 960-992.
    12. repec:cii:cepiei:2013-q2-134-1 is not listed on IDEAS
    13. 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.
    14. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 387-422.
    15. Nir Jaimovich & Sergio Rebelo, 2009. "Can News about the Future Drive the Business Cycle?," American Economic Review, American Economic Association, vol. 99(4), pages 1097-1118, September.
    16. Sydney C. Ludvigson, 2004. "Consumer Confidence and Consumer Spending," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 29-50, Spring.
    17. Lutz Kilian, 1998. "Small-Sample Confidence Intervals For Impulse Response Functions," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 218-230, May.
    18. Christophe Planas & Werner Roeger & Alessandro Rossi, 2010. "Does capacity utilisation help estimating the TFP cycle?," European Economy - Economic Papers 2008 - 2015 410, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    19. Bai, Jushan, 2004. "Estimating cross-section common stochastic trends in nonstationary panel data," Journal of Econometrics, Elsevier, vol. 122(1), pages 137-183, September.
    20. Antonin Bergeaud & Gilbert Cette & Rémy Lecat, 2016. "Productivity Trends in Advanced Countries between 1890 and 2012," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(3), pages 420-444, September.
    21. 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.
    22. Renee Fry & Adrian Pagan, 2007. "Some Issues in Using Sign Restrictions for Identifying Structural VARs," NCER Working Paper Series 14, National Centre for Econometric Research.
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    Cited by:

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    2. Syed Ateeb Akhter Shah & Fatima Kaneez & Arshad Riffat, 2022. "Forecasting the GDP Growth in Pakistan: The Role of Consumer Confidence," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 27(1), pages 68-88, Jan-June.
    3. Daragh Clancy & Lorenzo Ricci, 2022. "Economic sentiments and international risk sharing," International Economics, CEPII research center, issue 169, pages 208-229.
    4. Daragh Clancy & Lorenzo Ricci, 2019. "Loss aversion, economic sentiments and international consumption smoothing," Working Papers 35, European Stability Mechanism.
    5. Stéphane Dees & Annabelle De Gaye & Camille Thubin & Oriane Wegner, 2023. "The transition to carbon neutrality: effects on price stability [Transition vers la neutralité carbone : quels effets sur la stabilité des prix ?]," Bulletin de la Banque de France, Banque de France, issue 245.

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    More about this item

    Keywords

    Consumer confidence; Consumption; International Linkages; Vector Autoregression (VAR); Factor-Augmented VAR (FAVAR);
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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