IDEAS home Printed from https://ideas.repec.org/a/taf/reroxx/v36y2023i1p296-311.html
   My bibliography  Save this article

Studying the cyclicality of the economy and prediction of new high risk of economic crises: a case study on the European countries from 1995 to 2018

Author

Listed:
  • Ana Maria Mihaela Iordache
  • Ionela-Cătălina Zamfir
  • Ionescu Alexandru

Abstract

From ancient time the economies had periods of expansion followed by recession, each crisis was determined by various internal or external factors. With globalization, economic interconnection and the liberalization of resource exchange between states, high risk of economic crises have sprung up. The main purpose of the article is to determine a data model, using specific data analysis techniques, and based on it to study the economic cyclicality in Europe and the prediction of a possible economic crisis. The study was conducted on a number of 37 indicators selected from 11 categories, a set of 29 countries in Europe and over a period of 24 years (1995 − 2018) using the K-Means algorithm. Grouping the data for each country in three classes and describing each class by taking into account the variables with the highest discriminative power, leads to the main conclusion that in the next several years, an economic crisis in Europe has a high probability to be a reality.

Suggested Citation

  • Ana Maria Mihaela Iordache & Ionela-Cătălina Zamfir & Ionescu Alexandru, 2023. "Studying the cyclicality of the economy and prediction of new high risk of economic crises: a case study on the European countries from 1995 to 2018," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 36(1), pages 296-311, December.
  • Handle: RePEc:taf:reroxx:v:36:y:2023:i:1:p:296-311
    DOI: 10.1080/1331677X.2022.2076143
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1331677X.2022.2076143
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1331677X.2022.2076143?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.

    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:reroxx:v:36:y:2023:i:1:p:296-311. 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/rero .

    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.