IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-63953-1_6.html
   My bibliography  Save this book chapter

Food-Based Statistical Approach to Absolute Poverty Measurement

In: Measuring and Monitoring Absolute Poverty in the European Union

Author

Listed:
  • Balint Menyhert

    (Joint Research Centre)

  • Zsombor Cseres-Gergely

    (Joint Research Centre)

  • Virmantas Kvedaras

    (Joint Research Centre)

  • Benedetta Mina

    (Joint Research Centre)

  • Filippo Pericoli

    (Joint Research Centre)

  • Slavica Zec

    (Joint Research Centre)

Abstract

This chapter presents the food-based statistical approach as the most algorithmic and resource-efficient strategy to measure absolute poverty in the European context. The approach is based on the statistical analysis of household expenditure patterns and uses a novel set of nutritional food reference budgets as input to determine the non-food component of the poverty threshold. This is an established measurement procedure in developing countries, but is not directly applicable in advanced economies characterised by low food expenditure shares. A significant part of the chapter is therefore devoted to presenting a new simulation-based inverse methodology that circumvents the related limitations and produces reliable and consistent poverty estimates for all EU countries.

Suggested Citation

  • Balint Menyhert & Zsombor Cseres-Gergely & Virmantas Kvedaras & Benedetta Mina & Filippo Pericoli & Slavica Zec, 2025. "Food-Based Statistical Approach to Absolute Poverty Measurement," Springer Books, in: Measuring and Monitoring Absolute Poverty in the European Union, chapter 0, pages 181-199, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-63953-1_6
    DOI: 10.1007/978-3-031-63953-1_6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:sprchp:978-3-031-63953-1_6. 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: 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.