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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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    Full references (including those not matched with items on IDEAS)

    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

    Citations

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    Cited by:

    1. Lahiri, Kajal & Zhao, Yongchen, 2020. "The Nordhaus test with many zeros," Economics Letters, Elsevier, vol. 193(C).
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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. Vegard H. Larsen & Leif Anders Thorsrud & Julia Zhulanova, 2019. "News-driven inflation expectations and information rigidities," Working Paper 2019/5, Norges Bank.
    7. Binder, Carola, 2017. "Consumer forecast revisions: Is information really so sticky?," Economics Letters, Elsevier, vol. 161(C), pages 112-115.
    8. Pfajfar, Damjan & Žakelj, Blaž, 2014. "Experimental evidence on inflation expectation formation," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 147-168.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Deschamps, Bruno & Ioannidis, Christos & Ka, Kook, 2020. "High-frequency credit spread information and macroeconomic forecast revision," International Journal of Forecasting, Elsevier, vol. 36(2), pages 358-372.
    14. Filippo Lechthaler & Lisa Leinert, 2019. "Moody oil: What is driving the crude oil price?," Empirical Economics, Springer, vol. 57(5), pages 1547-1578, November.

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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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