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Inflation perceptions and expectations in the euro area: the role of news

Author

Listed:
  • Badarinza, Cristian
  • Gross, Marco

Abstract

The aim of this study is to assess empirically to what extent the degree of heterogeneity of consumers' inflation perceptions and expectations is driven by the flow of information related to current and future price developments in the euro area. We conduct the analysis both on an aggregate level for the euro area as well as for a set of countries using panel techniques. We find that the degree to which consumers' expectations are discordant is negatively related to news intensity. Moreover, the results suggest that the absolute bias in expectations decreases as news become more intense and this effect has become more pronounced since the introduction of the common currency. JEL Classification: D12, D84, E31

Suggested Citation

  • Badarinza, Cristian & Gross, Marco, 2009. "Inflation perceptions and expectations in the euro area: the role of news," Working Paper Series 1088, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:20091088
    Note: 3098116
    as

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    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecbwp1088.pdf
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    Citations

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    Cited by:

    1. Gross, Marco, 2011. "Corporate bond spreads and real activity in the euro area - Least Angle Regression forecasting and the probability of the recession," Working Paper Series 1286, European Central Bank.
    2. Alistair Macaulay & James Moberly, 2022. "Heterogeneity in imperfect inflation expectations:theory and evidence from a novel survey," Economics Series Working Papers 970, University of Oxford, Department of Economics.
    3. Alberto Cavallo & Guillermo Cruces & Ricardo Perez-Truglia, 2014. "Inflation Expectations, Learning and Supermarket Prices," NBER Working Papers 20576, National Bureau of Economic Research, Inc.
    4. Bovi, Maurizio, 2013. "Are the representative agent’s beliefs based on efficient econometric models?," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 633-648.
    5. Maurizio Bovi, 2016. "The tale of two expectations," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(6), pages 2677-2705, November.
    6. Alberto Cavallo & Guillermo Cruces & Ricardo Perez-Truglia, 2016. "Learning from Potentially-Biased Statistics: Household Inflation Perceptions and Expectations in Argentina," NBER Working Papers 22103, National Bureau of Economic Research, Inc.
    7. Alberto Cavallo & Guillermo Cruces & Ricardo Perez-Truglia, 2017. "Inflation Expectations, Learning, and Supermarket Prices: Evidence from Survey Experiments," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(3), pages 1-35, July.
    8. Goyal, Ashima & Parab, Prashant, 2021. "What influences aggregate inflation expectations of households in India?," Journal of Asian Economics, Elsevier, vol. 72(C).
    9. Balazs VARGA & Zsolt DARVAS, 2010. "Time-Varying Coefficient Methods to Measure Inflation Persistence," EcoMod2010 259600167, EcoMod.
    10. Siklos, Pierre, 2017. "What Has Publishing Inflation Forecasts Accomplished? Central Banks And Their Competitors," LCERPA Working Papers 0098, Laurier Centre for Economic Research and Policy Analysis, revised 01 Apr 2017.
    11. Marco Gross & Willi Semmler, 2019. "Mind the Output Gap: The Disconnect of Growth and Inflation during Recessions and Convex Phillips Curves in the Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(4), pages 817-848, August.
    12. Lena Draeger & Michael J. Lamla, 2015. "Disagreement à la Taylor: Evidence from Survey Microdata," KOF Working papers 15-380, KOF Swiss Economic Institute, ETH Zurich.
    13. Nektarios Aslanidis & Selva Demiralp, 2020. "Has the Financial Crisis affected the Real Interest Rate Dynamics in Europe?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 16(1), pages 1-18, April.
    14. Maurizio Bovi, 2014. "Shocks and the Expectations Formation Process. A Tale of Two Expectations," Natural Field Experiments 00390, The Field Experiments Website.
    15. Murillo Garza José Antonio & Sánchez-Romeu Paula, 2012. "Testing the Predictive Power of Mexican Consumers' Inflation Expectations," Working Papers 2012-13, Banco de México.
    16. Pierre L. Siklos, 2016. "Forecast Disagreement and the Inflation Outlook: New International Evidence," IMES Discussion Paper Series 16-E-03, Institute for Monetary and Economic Studies, Bank of Japan.
    17. 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.
    18. Ashima Goyal & Prashant Parab, 2021. "Qualitative and quantitative Central Bank communications and professional forecasts: Evidence from India," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2021-014, Indira Gandhi Institute of Development Research, Mumbai, India.
    19. Abildgren, Kim & Kuchler, Andreas, 2021. "Revisiting the inflation perception conundrum," Journal of Macroeconomics, Elsevier, vol. 67(C).
    20. Ivana Lolic & Petar Soric & Mirjana Cizmesija, 2017. "Disentangling the Relationship between News Media and Consumers' Inflation Sentiment: the Case of Croatia," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(3), pages 221-249, June.
    21. Koichiro Kamada & Jouchi Nakajima & Shusaku Nishiguchi, 2015. "Are Household Inflation Expectations Anchored in Japan?," Bank of Japan Working Paper Series 15-E-8, Bank of Japan.
    22. Alberto Cavallo & Guillermo Cruces & Ricardo Perez-Truglia, 2016. "Learning from Potentially Biased Statistics," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(1 (Spring), pages 59-108.
    23. Gaurav Kumar Singh & Tathagata Bandyopadhyay, 2024. "Determinants of disagreement: Learning from inflation expectations survey of households," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 326-343, March.
    24. Alberto Cavallo & Guillermo Cruces & Ricardo Perez-Truglia, 2016. "Learning from Potentially Biased Statistics," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 52(1 (Spring), pages 59-108.

    More about this item

    Keywords

    euro area; heterogeneity; inflation expectations; news; survey data;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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