IDEAS home Printed from https://ideas.repec.org/a/arh/jpopec/v8y2024i3p220-240.html
   My bibliography  Save this article

Population and Economic Growth: a Panel Causality Analysis

Author

Listed:
  • Gaston Cayssials

    (Universidad de la República, Montevideo, Uruguay)

  • Fernando Antonio Ignacio González

    (Universidad Católica del Norte, Coquimbo, Chile)

  • Silvia London

    (Universidad Nacional del Sur, Bahía Blanca, Argentina)

Abstract

This paper examines the relationship between population growth and economic growth using panel data from 111 countries over the period from 1960 to 2019. In the first stage of the analysis, we divided the sample into three groups of countries using a non-parametric method. Unlike the ad hoc decisions made in previous studies, which were based on factors such as size or economic performance, these categories were determined objectively. We conducted a Granger causality analysis on internally homogeneous groups, composed of countries with similar trajectories in population and economic growth, which are clearly distinct from one another. Our results reveal significant qualitative differences in the dynamics of population and economic growth between these groups.

Suggested Citation

  • Gaston Cayssials & Fernando Antonio Ignacio González & Silvia London, 2024. "Population and Economic Growth: a Panel Causality Analysis," Population and Economics, ARPHA Platform, vol. 8(3), pages 220-240, November.
    • Handle: RePEc:arh:jpopec:v:8:y:2024:i:3:p:220-240
    DOI: 10.3897/popecon.8.e109133
    as

    Download full text from publisher

    File URL: https://populationandeconomics.pensoft.net/article/109133/
    Download Restriction: no
    File URL: https://libkey.io/10.3897/popecon.8.e109133?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
    ---><---

    More about this item

    Keywords

    time series analysis minimal spanning tree hierarchical tree population dynamics economic growth panel causality test;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • J0 - Labor and Demographic Economics - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

    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:arh:jpopec:v:8:y:2024:i:3:p:220-240. 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: Teodor Georgiev (email available below). General contact details of provider: https://populationandeconomics.pensoft.net/ .

    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.