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Updating inflation expectations

Citations

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Cited by:

  1. Zhao, Yongchen, 2019. "Updates to household inflation expectations: Signal or noise?," Economics Letters, Elsevier, vol. 181(C), pages 95-98.
  2. 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.
  3. Andrade, Philippe & Le Bihan, Hervé, 2013. "Inattentive professional forecasters," Journal of Monetary Economics, Elsevier, vol. 60(8), pages 967-982.
  4. repec:zbw:bofrdp:2021_010 is not listed on IDEAS
  5. Lena Dräger & Michael Lamla, 2013. "Imperfect Information and Inflation Expectations: Evidence from Microdata," Macroeconomics and Finance Series 201301, University of Hamburg, Department of Socioeconomics.
  6. Binder, Carola, 2017. "Consumer forecast revisions: Is information really so sticky?," Economics Letters, Elsevier, vol. 161(C), pages 112-115.
  7. Lahiri, Kajal & Zhao, Yongchen, 2020. "The Nordhaus test with many zeros," Economics Letters, Elsevier, vol. 193(C).
  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. Lena Draeger & Michael J. Lamla, 2013. "Imperfect information and inflation expectations," KOF Working papers 13-329, KOF Swiss Economic Institute, ETH Zurich.
  10. Ignacio Galará, 2023. "A Measure of our Uncertainty: Households’ Inflation Expectation and Information Shocks," Working Papers 273, Red Nacional de Investigadores en Economía (RedNIE).
  11. 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.
  12. 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.
  13. Dräger, Lena & Lamla, Michael J., 2012. "Updating inflation expectations: Evidence from micro-data," Economics Letters, Elsevier, vol. 117(3), pages 807-810.
  14. 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.
  15. Arnildo da Silva Correa & Paulo Picchetti, 2016. "New Information and Updating of Market Experts’ Inflation Expectations," Working Papers Series 411, Central Bank of Brazil, Research Department.
  16. 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.
  17. 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.
  18. Filippo Lechthaler & Lisa Leinert, 2019. "Moody oil: What is driving the crude oil price?," Empirical Economics, Springer, vol. 57(5), pages 1547-1578, November.
  19. 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).
  20. 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.
  21. repec:gii:giihei:ciesrp:cies_rp_27 is not listed on IDEAS
  22. 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.
  23. 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.
  24. 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.
  25. Raffaele Guetto & Maria Francesca Morabito & Daniele Vignoli & Matthias Vollbracht, 2021. "Media Coverage of the Economy and Fertility," Econometrics Working Papers Archive 2021_12, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
  26. Filippo Lechthaler & Lisa Leinert, 2012. "Moody Oil - What is Driving the Crude Oil Price?," CER-ETH Economics working paper series 12/168, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
  27. Chiara Ravetti & Yana Popp Jin & Mu Quan & Zhang Shiqiu & Timothy Swanson, 2014. "Air pollution in Urban Beijing: The role of Government-controlled information," CIES Research Paper series 27-2014, Centre for International Environmental Studies, The Graduate Institute.
  28. 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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