IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v105y2026ics0038012126000388.html

Convergence analysis of the tax burden and economic development in OECD countries: a causality analysis

Author

Listed:
  • Isla-Castillo, Fernando
  • Montes-Caparrós, Ana Patricia
  • Domínguez-Martínez, José M.

Abstract

Economic development strongly influences both the level and scope of the tax burden, while the level and structure of taxation can, in turn, decisively influence economic development. Similarly, the convergence processes of both phenomena might be interrelated. This paper analyses the convergence of both the tax burden and economic development, as measured by the tax level ratio and GDP per capita, respectively, in OECD countries over the period 1995–2022. To analyse the possible interdependence between the tax burden and economic development, we use a recursive panel analysis and control for heterogeneity with fixed effects to estimate the time evolution of the convergence rates of both variables. Our findings show that the speed of convergence of the tax burden is much higher than that of GDP per capita. During the recessionary phase of the economic cycle, the speed of economic convergence increases because better positioned countries experience a larger decline in growth than those initially in a worse position; whereas during the expansionary phase of the cycle, the opposite holds. The Granger causality test confirms that convergence in GDP per capita influences convergence in the tax burden, but not vice versa.

Suggested Citation

  • Isla-Castillo, Fernando & Montes-Caparrós, Ana Patricia & Domínguez-Martínez, José M., 2026. "Convergence analysis of the tax burden and economic development in OECD countries: a causality analysis," Socio-Economic Planning Sciences, Elsevier, vol. 105(C).
  • Handle: RePEc:eee:soceps:v:105:y:2026:i:c:s0038012126000388
    DOI: 10.1016/j.seps.2026.102452
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012126000388
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.seps.2026.102452?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    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:eee:soceps:v:105:y:2026:i:c:s0038012126000388. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    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.