IDEAS home Printed from https://ideas.repec.org/a/taf/jecmet/v25y2018i2p117-125.html

Was the deflation of the depression anticipated? An inference using real-time data

Author

Listed:
  • Gabriel Mathy
  • Herman Stekler

Abstract

Theories that explain the behavior of the economy during the Depression are based on assumptions about agents’ expectations about future price trends. This paper uses an alternative methodological approach which utilizes real-time information from the Depression period to infer whether deflation was anticipated. The information includes the forecasting methodology of that time as well as projections about anticipated output that were obtained from the textual analysis of business statements, converting qualitative to quantitative data. We infer that deflation was not anticipated because agents did not expect economic output to consistently decrease.

Suggested Citation

  • Gabriel Mathy & Herman Stekler, 2018. "Was the deflation of the depression anticipated? An inference using real-time data," Journal of Economic Methodology, Taylor & Francis Journals, vol. 25(2), pages 117-125, April.
  • Handle: RePEc:taf:jecmet:v:25:y:2018:i:2:p:117-125
    DOI: 10.1080/1350178X.2017.1407437
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1350178X.2017.1407437
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1350178X.2017.1407437?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 look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Simionescu, Mihaela, 2022. "Econometrics of sentiments- sentometrics and machine learning: The improvement of inflation predictions in Romania using sentiment analysis," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    2. Karsten Müller, 2022. "German forecasters’ narratives: How informative are German business cycle forecast reports?," Empirical Economics, Springer, vol. 62(5), pages 2373-2415, May.
    3. Jones, Jacob T. & Sinclair, Tara M. & Stekler, Herman O., 2020. "A textual analysis of Bank of England growth forecasts," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1478-1487.
    4. Gabriel Mathy & Yongchen Zhao, 2025. "Could Diffusion Indexes Have Forecasted the Great Depression?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(2), pages 320-338, March.
    5. Thies Clifford F., 2021. "Expectations of a Post-Wwii Depression," Studia Historiae Oeconomicae, Sciendo, vol. 39(1), pages 145-162, December.

    More about this item

    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:taf:jecmet:v:25:y:2018:i:2:p:117-125. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RJEC20 .

    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.