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Updating inflation expectations: Evidence from micro-data

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  • Dräger, Lena
  • Lamla, Michael J.

Abstract

Utilizing the Michigan Household Consumer survey’s rotating panel microstructure we can identify if individuals have adjusted their expectations towards inflation. This allows us to directly capture the updating behavior of individual consumers regarding their short- and long-run inflation expectations.

Suggested Citation

  • Dräger, Lena & Lamla, Michael J., 2012. "Updating inflation expectations: Evidence from micro-data," Economics Letters, Elsevier, vol. 117(3), pages 807-810.
    • Handle: RePEc:eee:ecolet:v:117:y:2012:i:3:p:807-810
    DOI: 10.1016/j.econlet.2012.08.033
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    References listed on IDEAS

    as
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    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Consumer Forecast Revisions: Is Information Really so Sticky?
      by noreply@blogger.com (Carola) in Quantitative Ease on 2017-09-14 21:21:00

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    Cited by:

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    3. Drakos, Konstantinos & Konstantinou, Panagiotis Th. & Thoma, Foteini-Anna, 2020. "Inflation uncertainty and inflation expectations: Micro-level evidence from the eurozone," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    4. Constantin Bürgi, 2020. "Expectation Formation and the Persistence of Shocks," Working Papers 2020-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Sep 2020.
    5. 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.
    6. de Mendonça, Helder Ferreira & Vereda, Luciano & Araujo, Mateus de Azevedo, 2022. "What type of information calls the attention of forecasters? Evidence from survey data in an emerging market," Journal of International Money and Finance, Elsevier, vol. 129(C).
    7. repec:zbw:bofrdp:2021_010 is not listed on IDEAS
    8. Larsen, Vegard H. & Thorsrud, Leif Anders & Zhulanova, Julia, 2021. "News-driven inflation expectations and information rigidities," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 507-520.
    9. Stanisławska, Ewa & Paloviita, Maritta, 2021. "Medium- vs. short-term consumer inflation expectations: Evidence from a new euro area survey," Bank of Finland Research Discussion Papers 10/2021, Bank of Finland.
    10. David A. Comerford, 2024. "Response Bias in Survey Measures of Expectations: Evidence from the Survey of Consumer Expectations’ Inflation Module," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(4), pages 933-953, June.
    11. Dräger, Lena, 2023. "Central Bank Communication with the General Public," Hannover Economic Papers (HEP) dp-713, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    12. Binder, Carola, 2017. "Consumer forecast revisions: Is information really so sticky?," Economics Letters, Elsevier, vol. 161(C), pages 112-115.
    13. Pfajfar, Damjan & Žakelj, Blaž, 2014. "Experimental evidence on inflation expectation formation," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 147-168.
    14. Xu, Kun & Cheng, Jian-hua & Xu, Wenli, 2016. "通胀及通胀预期冲击的动态特征分析 [Study on Dynamics of Inflation and Inflation Expectation Shocks in China]," MPRA Paper 71977, University Library of Munich, Germany.
    15. Lena Dräger & Michael J. Lamla, 2017. "Imperfect Information and Consumer Inflation Expectations: Evidence from Microdata," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(6), pages 933-968, December.
    16. Bernd Hayo & Florian Neumeier, 2023. "Do consumers actually monitor the inflation rate? Evidence from New Zealand," New Zealand Economic Papers, Taylor & Francis Journals, vol. 57(1), pages 1-8, January.
    17. Stanisławska, Ewa & Paloviita, Maritta, 2021. "Responsiveness of consumers' medium-term inflation expectations : evidence from a new euro area survey," Research Discussion Papers 10/2021, Bank of Finland.
    18. Yingying Xu & Zhixin Liu & Zichao Jia & Chi-Wei Su, 2017. "Is time-variant information stickiness state-dependent?," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 16(3), pages 169-187, December.
    19. Jarko Fidrmuc & Christa Hainz & Werner Hölzl, 2018. "Individual Credit Market Experience and Perception of Aggregate Bank Lending. Evidence from a Firm Survey," WIFO Working Papers 574, WIFO.
    20. Mirko Ðukic, 2022. "Assessment of inflationary pressures using newspaper text analysis," Working Papers Bulletin 12, National Bank of Serbia.
    21. J r my Boccanfuso, 2022. "Consumption Response Heterogeneity and Dynamics with an Inattention Region," Working Papers wp1172, Dipartimento Scienze Economiche, Universita' di Bologna.
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    23. Yongchen Zhao, 2022. "Uncertainty and disagreement of inflation expectations: Evidence from household‐level qualitative survey responses," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 810-828, July.
    24. Filippo Lechthaler & Lisa Leinert, 2019. "Moody oil: What is driving the crude oil price?," Empirical Economics, Springer, vol. 57(5), pages 1547-1578, November.
    25. Vereda, Luciano & Savignon, João & Gouveia da Silva, Tarciso, 2021. "A new method to assess the degree of information rigidity using fixed-event forecasts," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1576-1589.

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    More about this item

    Keywords

    Updating Inflation expectations; Micro-data; Time-varying degree of inattention;
    All these keywords.

    JEL classification:

    • 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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