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ECB communication as a stabilization and coordination device: evidence from ex-ante inflation uncertainty

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  • Fernandes, Cecilia Melo

Abstract

This paper investigates the impact of ECB communication of its assessment of the economic outlook on ex-ante inflation uncertainty and sheds light on how central bank information shocks operate. The paper finds that ECB communication of new outlook information not only reduces professional forecasters’ disagreement (i.e., the cross-sectional dispersion of their average point forecasts of inflation) but also makes forecasters less uncertain about their own beliefs, thus reducing ex-ante average individual uncertainty. By combining and exploiting these types of ex-ante inflation uncertainty, results suggest that central bank information acts as a “coordination device” able to influence opinions and actions. Most importantly, it generates a “stabilizer effect” by substantially decreasing the dispersion among the inflation point forecasts, which converge towards their unconditional aggregate mean. The results of this paper not only help to explain the impact of new central bank information, but they are also useful for policymakers to define a communication strategy that attenuates ex-ante inflation uncertainty in the most effective way. JEL Classification: D83, E52, E58, E65, G14

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  • Fernandes, Cecilia Melo, 2021. "ECB communication as a stabilization and coordination device: evidence from ex-ante inflation uncertainty," Working Paper Series 2582, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20212582
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    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecb.wp2582~392151e824.en.pdf
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    1. Berument, Hakan & Yalcin, Yeliz & Yildirim, Julide, 2009. "The effect of inflation uncertainty on inflation: Stochastic volatility in mean model within a dynamic framework," Economic Modelling, Elsevier, vol. 26(6), pages 1201-1207, November.
    2. Karl B. Diether & Christopher J. Malloy & Anna Scherbina, 2002. "Differences of Opinion and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 57(5), pages 2113-2141, October.
    3. Kevin L. Kliesen & Frank A. Schmid, 2004. "Monetary policy actions, macroeconomic data releases, and inflation expectations," Review, Federal Reserve Bank of St. Louis, vol. 86(May), pages 9-22.
    4. Carlos Capistr¡N & Allan Timmermann, 2009. "Disagreement and Biases in Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2-3), pages 365-396, March.
    5. Picault, Matthieu & Renault, Thomas, 2017. "Words are not all created equal: A new measure of ECB communication," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 136-156.
    6. N. Gregory Mankiw & Ricardo Reis & Justin Wolfers, 2004. "Disagreement about Inflation Expectations," NBER Chapters, in: NBER Macroeconomics Annual 2003, Volume 18, pages 209-270, National Bureau of Economic Research, Inc.
    7. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December.
    8. Glas, Alexander & Hartmann, Matthias, 2016. "Inflation uncertainty, disagreement and monetary policy: Evidence from the ECB Survey of Professional Forecasters," Journal of Empirical Finance, Elsevier, vol. 39(PB), pages 215-228.
    9. Eijffinger, Sylvester C.W. & Geraats, Petra M., 2006. "How transparent are central banks?," European Journal of Political Economy, Elsevier, vol. 22(1), pages 1-21, March.
    10. Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2012. "Disagreement Among Forecasters in G7 Countries," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1081-1096, November.
    11. Emi Nakamura & Jón Steinsson, 2018. "High-Frequency Identification of Monetary Non-Neutrality: The Information Effect," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1283-1330.
    12. Jitmaneeroj, Boonlert & Lamla, Michael J. & Wood, Andrew, 2019. "The implications of central bank transparency for uncertainty and disagreement," Journal of International Money and Finance, Elsevier, vol. 90(C), pages 222-240.
    13. Mark Gertler & Kenneth Rogoff (ed.), 2004. "NBER Macroeconomics Annual 2003," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262572214, December.
    14. Glas, Alexander, 2020. "Five dimensions of the uncertainty–disagreement linkage," International Journal of Forecasting, Elsevier, vol. 36(2), pages 607-627.
    15. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
    16. S. Fountas & A. Ioannidis & M. Karanasos, 2004. "Inflation, Inflation Uncertainty and a Common European Monetary Policy," Manchester School, University of Manchester, vol. 72(2), pages 221-242, March.
    17. Marek Jarociński & Peter Karadi, 2020. "Deconstructing Monetary Policy Surprises—The Role of Information Shocks," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(2), pages 1-43, April.
    18. Cass, David & Shell, Karl, 1983. "Do Sunspots Matter?," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 193-227, April.
    19. Cieslak, Anna & Schrimpf, Andreas, 2019. "Non-monetary news in central bank communication," Journal of International Economics, Elsevier, vol. 118(C), pages 293-315.
    20. Magdalena Grothe & Aidan Meyler, 2018. "Inflation Forecasts: Are Market-Based and Survey-Based Measures Informative?," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 9(1), pages 171-188, January.
    21. Joshua C. C. Chan, 2017. "The Stochastic Volatility in Mean Model With Time-Varying Parameters: An Application to Inflation Modeling," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 17-28, January.
    22. Posso, Alberto & Tawadros, George B., 2013. "Does greater central bank independence really lead to lower inflation? Evidence from panel data," Economic Modelling, Elsevier, vol. 33(C), pages 244-247.
    23. Mark Gertler & Kenneth Rogoff, 2004. "NBER Macroeconomics Annual 2003, Volume 18," NBER Books, National Bureau of Economic Research, Inc, number gert04-1, March.
    24. Victor Zarnowitz & Louis A. Lambros, 1983. "Consensus and Uncertainty in Economic Prediction," NBER Working Papers 1171, National Bureau of Economic Research, Inc.
    25. Dopke, Jorg & Fritsche, Ulrich, 2006. "When do forecasters disagree? An assessment of German growth and inflation forecast dispersion," International Journal of Forecasting, Elsevier, vol. 22(1), pages 125-135.
    26. Joshua Abel & Robert Rich & Joseph Song & Joseph Tracy, 2016. "The Measurement and Behavior of Uncertainty: Evidence from the ECB Survey of Professional Forecasters," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 533-550, April.
    27. Coenen, Günter & Ehrmann, Michael & Gaballo, Gaetano & Hoffmann, Peter & Nakov, Anton & Nardelli, Stefano & Persson, Eric & Strasser, Georg H., 2017. "Communication of monetary policy in unconventional times," CFS Working Paper Series 578, Center for Financial Studies (CFS).
    28. Carlos Capistrán & Allan Timmermann, 2009. "Disagreement and Biases in Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2‐3), pages 365-396, March.
    29. James D. Hamilton, 2018. "Why You Should Never Use the Hodrick-Prescott Filter," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 831-843, December.
    30. Grauer, Frederick L A & Litzenberger, Robert H, 1979. "The Pricing of Commodity Futures Contracts, Nominal Bonds and Other Risky Assets under Commodity Price Uncertainty," Journal of Finance, American Finance Association, vol. 34(1), pages 69-83, March.
    31. Michael J. Lamla & Thomas Maag, 2012. "The Role of Media for Inflation Forecast Disagreement of Households and Professional Forecasters," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(7), pages 1325-1350, October.
    32. 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.
    33. Kontonikas, A., 2004. "Inflation and inflation uncertainty in the United Kingdom, evidence from GARCH modelling," Economic Modelling, Elsevier, vol. 21(3), pages 525-543, May.
    34. Andrade, Philippe & Ferroni, Filippo, 2021. "Delphic and odyssean monetary policy shocks: Evidence from the euro area," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 816-832.
    35. Jung, Alexander & Uhlig, Harald, 2019. "Monetary policy shocks and the health of banks," Working Paper Series 2303, European Central Bank.
    36. Patton, Andrew J. & Timmermann, Allan, 2010. "Why do forecasters disagree? Lessons from the term structure of cross-sectional dispersion," Journal of Monetary Economics, Elsevier, vol. 57(7), pages 803-820, October.
    37. Kerssenfischer, Mark, 2019. "Information effects of euro area monetary policy: New evidence from high-frequency futures data," Discussion Papers 07/2019, Deutsche Bundesbank.
    38. van der Cruijsen, Carin & Demertzis, Maria, 2007. "The impact of central bank transparency on inflation expectations," European Journal of Political Economy, Elsevier, vol. 23(1), pages 51-66, March.
    39. Kevin B. Grier & Mark J. Perry, 2000. "The effects of real and nominal uncertainty on inflation and output growth: some garch-m evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 45-58.
    40. Engelberg, Joseph & Manski, Charles F. & Williams, Jared, 2009. "Comparing the Point Predictions and Subjective Probability Distributions of Professional Forecasters," Journal of Business & Economic Statistics, American Statistical Association, vol. 27, pages 30-41.
    41. Michael Ehrmann & Sylvester Eijffinger & Marcel Fratzscher, 2012. "The Role of Central Bank Transparency for Guiding Private Sector Forecasts," Scandinavian Journal of Economics, Wiley Blackwell, vol. 114(3), pages 1018-1052, September.
    42. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    43. Refet S. Gürkaynak & Brian Sack & Eric Swanson, 2005. "The Sensitivity of Long-Term Interest Rates to Economic News: Evidence and Implications for Macroeconomic Models," American Economic Review, American Economic Association, vol. 95(1), pages 425-436, March.
    44. Matthieu Picault & Thomas Renault, 2017. "Words are not all created equal: A new measure of ECB communication," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03205121, HAL.
    45. Friedman, Milton, 1977. "Nobel Lecture: Inflation and Unemployment," Journal of Political Economy, University of Chicago Press, vol. 85(3), pages 451-472, June.
    46. Benjamin Born & Michael Ehrmann & Marcel Fratzscher, 2014. "Central Bank Communication on Financial Stability," Economic Journal, Royal Economic Society, vol. 124(577), pages 701-734, June.
    47. van der Cruijsen, C.A.B. & Eijffinger, S.C.W., 2007. "The Economic Impact of Central Bank Transparency : A Survey," Discussion Paper 2007-06, Tilburg University, Center for Economic Research.
    48. Grier, Kevin B. & Perry, Mark J., 1998. "On inflation and inflation uncertainty in the G7 countries," Journal of International Money and Finance, Elsevier, vol. 17(4), pages 671-689, August.
    49. David H. Romer & Christina D. Romer, 2000. "Federal Reserve Information and the Behavior of Interest Rates," American Economic Review, American Economic Association, vol. 90(3), pages 429-457, June.
    50. Swanson, Eric T., 2006. "Have Increases in Federal Reserve Transparency Improved Private Sector Interest Rate Forecasts?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(3), pages 791-819, April.
    51. Hartmann, Matthias & Roestel, Jan, 2013. "Inflation, output and uncertainty in the era of inflation targeting – A multi-economy view on causal linkages," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 98-112.
    52. Conrad, C. & Karanasos, M., 2005. "On the inflation-uncertainty hypothesis in the USA, Japan and the UK: a dual long memory approach," Japan and the World Economy, Elsevier, vol. 17(3), pages 327-343, August.
    53. Lahiri, Kajal & Sheng, Xuguang, 2008. "Evolution of forecast disagreement in a Bayesian learning model," Journal of Econometrics, Elsevier, vol. 144(2), pages 325-340, June.
    54. Fama, Eugene F, 1976. "Inflation Uncertainty and Expected Returns on Treasury Bills," Journal of Political Economy, University of Chicago Press, vol. 84(3), pages 427-448, June.
    55. Giordani, Paolo & Soderlind, Paul, 2006. "Is there evidence of pessimism and doubt in subjective distributions? Implications for the equity premium puzzle," Journal of Economic Dynamics and Control, Elsevier, vol. 30(6), pages 1027-1043, June.
    56. Kenneth F. Wallis, 2005. "Combining Density and Interval Forecasts: A Modest Proposal," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 983-994, December.
    57. Anna Naszodi & Csaba Csavas & Daniel Felcser, 2016. "Which Aspects of Central Bank Transparency Matter? A Comprehensive Analysis of the Effect of Transparency of Survey Forecasts," International Journal of Central Banking, International Journal of Central Banking, vol. 12(4), pages 147-192, December.
    58. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
    59. Kerssenfischer, Mark, 2022. "Information effects of euro area monetary policy," Economics Letters, Elsevier, vol. 216(C).
    60. David Johnstone, 2016. "The Effect of Information on Uncertainty and the Cost of Capital," Contemporary Accounting Research, John Wiley & Sons, vol. 33(2), pages 752-774, June.
    61. Alan S. Blinder, 2018. "Through a Crystal Ball Darkly: The Future of Monetary Policy Communication," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 567-571, May.
    62. Makoto Minegishi & Boris Cournède, 2009. "The Role of Transparency in the Conduct of Monetary Policy," OECD Economics Department Working Papers 724, OECD Publishing.
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    More about this item

    Keywords

    central bank communication; euro area; ex-ante inflation uncertainty; inflation expectations;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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