IDEAS home Printed from https://ideas.repec.org/a/voj/journl/v0y0i0p1-31id1491.html
   My bibliography  Save this article

An In-depth Analysis of the Relation of Health and Poverty in Europe

Author

Listed:
  • Simona Andreea Apostu
  • Gina Cristina Dimian
  • Maria Denisa Vasilescu

Abstract

Our article aims to present an in-depth analysis of the correlation between health status and poverty in European countries. Our research is grounded on two types of data: a survey of the perceptions of the European citizens related to their own physical and mental health conducted in 2017 in European Union countries and the United Kingdom on a sample of 28,000 respondents and macroeconomic data retrieved from Eurostat Database, showing the incidence of poverty and working poor in Europe during the 2017–2019 time span. Multiple logistic regression has revealed that self-rated health status is influenced by the sociodemographic characteristics of the respondents, whereas TwoStep Cluster analysis and Mann–Whitney U test proved that health is an important driver of the differences between countries in terms of poverty and working poor. The originality of our research stems from both the integrated approach, the analysis being made at individual, group, and country levels, and by the results that bring new evidence about population health status as a determinant of quality of life and national competitiveness. Keywords: Physical health, Mental health, Poverty, Working poor, Logistic regression, Cluster analysis. JEL: C38, I15, P46.

Suggested Citation

  • Simona Andreea Apostu & Gina Cristina Dimian & Maria Denisa Vasilescu, 0. "An In-depth Analysis of the Relation of Health and Poverty in Europe," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 0(0), pages 1-31.
  • Handle: RePEc:voj:journl:v:0:y:0:i:0:p:1-31:id:1491
    as

    Download full text from publisher

    File URL: https://panoeconomicus.org/index.php/jorunal/article/view/1491/705
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Physical health; Mental health; Poverty; Working poor; Logistic regression; Cluster analysis;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • P46 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Consumer Economics; Health; Education and Training; Welfare, Income, Wealth, and Poverty

    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:voj:journl:v:0:y:0:i:0:p:1-31:id:1491. 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: Ivana Horvat (email available below). General contact details of provider: https://panoeconomicus.org/index.php/jorunal/ .

    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.