IDEAS home Printed from https://ideas.repec.org/a/spr/wirtsc/v102y2022i10d10.1007_s10273-022-3292-3.html
   My bibliography  Save this article

Gefühlte Inflation als Bestimmungsgrund der Spar- und Konsumstruktur von Verbrauchern
[Perceived Inflation as a Determinant of the Savings and Spending Structure of Consumers]

Author

Listed:
  • Andreas Krämer

    (exeo Strategic Consulting AG)

  • Daniel F. Heuermann

    (University of Europe for Applied Sciences (Campus Berlin))

  • Thomas Burgartz

    (University of Europe for Applied Sciences (Campus Iserlohn))

Abstract

Zusammenfassung Die Inflationsrate hat im Euroraum zuletzt einen Höchstwert erreicht. Neben der amtlich gemessenen Inflationsrate wurde die subjektive Inflationswahrnehmung hingegen wenig beachtet. Dieser Beitrag füllt diese Lücke, indem auf Grundlage einer repräsentativen Befragung die subjektive Inflationswahrnehmung gemessen und diskutiert wird, welche Gründe zu einer Divergenz von gemessener und wahrgenommener Inflation führen. Weiterhin wird untersucht, welche Personengruppen sich besonders von steigenden Preisen betroffen fühlen und wie Haushalte ihr Konsum- und Sparverhalten an die subjektive Inflationswahrnehmung anpassen.

Suggested Citation

  • Andreas Krämer & Daniel F. Heuermann & Thomas Burgartz, 2022. "Gefühlte Inflation als Bestimmungsgrund der Spar- und Konsumstruktur von Verbrauchern [Perceived Inflation as a Determinant of the Savings and Spending Structure of Consumers]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 102(10), pages 782-788, October.
  • Handle: RePEc:spr:wirtsc:v:102:y:2022:i:10:d:10.1007_s10273-022-3292-3
    DOI: 10.1007/s10273-022-3292-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10273-022-3292-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10273-022-3292-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hibiki Ichiue & Shusaku Nishiguchi, 2015. "Inflation Expectations And Consumer Spending At The Zero Bound: Micro Evidence," Economic Inquiry, Western Economic Association International, vol. 53(2), pages 1086-1107, April.
    2. Gunther Schnabl & Tim Florian Sepp, 2021. "Inflationsziel und Inflationsmessung in der Eurozone im Wandel [Inflation Targeting and Inflation Measurement in the Euro Area in Transition]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 101(8), pages 615-620, August.
    3. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    4. Ryngaert, Jane M., 2022. "Inflation disasters and consumption," Journal of Monetary Economics, Elsevier, vol. 129(S), pages 67-81.
    5. Alberto Cavallo, 2020. "Inflation with Covid Consumption Baskets," NBER Working Papers 27352, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Wang, 2002. "Consistent testing for stochastic dominance: a subsampling approach," CeMMAP working papers 03/02, Institute for Fiscal Studies.
    2. van den Bergh, J.C.J.M. & Botzen, W.J.W., 2015. "Monetary valuation of the social cost of CO2 emissions: A critical survey," Ecological Economics, Elsevier, vol. 114(C), pages 33-46.
    3. Heiko Karle & Georg Kirchsteiger & Martin Peitz, 2015. "Loss Aversion and Consumption Choice: Theory and Experimental Evidence," American Economic Journal: Microeconomics, American Economic Association, vol. 7(2), pages 101-120, May.
    4. Olivier Coibion & Dimitris Georgarakos & Yuriy Gorodnichenko & Maarten van Rooij, 2023. "How Does Consumption Respond to News about Inflation? Field Evidence from a Randomized Control Trial," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(3), pages 109-152, July.
    5. Shoji, Isao & Kanehiro, Sumei, 2016. "Disposition effect as a behavioral trading activity elicited by investors' different risk preferences," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 104-112.
    6. Muhammad Kashif & Thomas Leirvik, 2022. "The MAX Effect in an Oil Exporting Country: The Case of Norway," JRFM, MDPI, vol. 15(4), pages 1-16, March.
    7. Jonathan Meng & Feng Fu, 2020. "Understanding Gambling Behavior and Risk Attitudes Using Cryptocurrency-based Casino Blockchain Data," Papers 2008.05653, arXiv.org, revised Aug 2020.
    8. Daniel Fonseca Costa & Francisval Carvalho & Bruno César Moreira & José Willer Prado, 2017. "Bibliometric analysis on the association between behavioral finance and decision making with cognitive biases such as overconfidence, anchoring effect and confirmation bias," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1775-1799, June.
    9. Robert Gazzale & Julian Jamison & Alexander Karlan & Dean Karlan, 2013. "Ambiguous Solicitation: Ambiguous Prescription," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 1002-1011, January.
    10. Boone, Jan & Sadrieh, Abdolkarim & van Ours, Jan C., 2009. "Experiments on unemployment benefit sanctions and job search behavior," European Economic Review, Elsevier, vol. 53(8), pages 937-951, November.
    11. Castro, Luciano de & Galvao, Antonio F. & Kim, Jeong Yeol & Montes-Rojas, Gabriel & Olmo, Jose, 2022. "Experiments on portfolio selection: A comparison between quantile preferences and expected utility decision models," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 97(C).
    12. Jos'e Cl'audio do Nascimento, 2019. "Behavioral Biases and Nonadditive Dynamics in Risk Taking: An Experimental Investigation," Papers 1908.01709, arXiv.org, revised Apr 2023.
    13. Luigi Guiso, 2015. "A Test of Narrow Framing and its Origin," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 1(1), pages 61-100, March.
    14. Breaban, Adriana & van de Kuilen, Gijs & Noussair, Charles, 2016. "Prudence, Personality, Cognitive Ability and Emotional State," Other publications TiSEM 9a01a5ab-e03d-49eb-9cd7-4, Tilburg University, School of Economics and Management.
    15. Martín Egozcue & Sébastien Massoni & Wing-Keung Wong & RiÄ ardas Zitikis, 2012. "Integration-segregation decisions under general value functions: "Create your own bundle — choose 1, 2, or all 3!"," Documents de travail du Centre d'Economie de la Sorbonne 12057, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    16. Charles A.E. Goodhart & Dimitrios P. Tsomocos & Xuan Wang, 2023. "Support for small businesses amid COVID‐19," Economica, London School of Economics and Political Science, vol. 90(358), pages 612-652, April.
    17. Howard Kunreuther & Erwann Michel-Kerjan, 2015. "Demand for fixed-price multi-year contracts: Experimental evidence from insurance decisions," Journal of Risk and Uncertainty, Springer, vol. 51(2), pages 171-194, October.
    18. Choo, Weihao & de Jong, Piet, 2015. "The tradeoff insurance premium as a two-sided generalisation of the distortion premium," Insurance: Mathematics and Economics, Elsevier, vol. 65(C), pages 238-246.
    19. Francesco GUALA, 2017. "Preferences: Neither Behavioural nor Mental," Departmental Working Papers 2017-05, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    20. Shi, Yun & Cui, Xiangyu & Zhou, Xunyu, 2020. "Beta and Coskewness Pricing: Perspective from Probability Weighting," SocArXiv 5rqhv, Center for Open Science.

    More about this item

    Keywords

    E31; E21; D12;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:wirtsc:v:102:y:2022:i:10:d:10.1007_s10273-022-3292-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.