IDEAS home Printed from https://ideas.repec.org/p/cam/camdae/2617.html

Macroeconomic Consequences of Sustained Warming: A Bias-Corrected Dynamic Heterogeneous Panel Approach

Author

Listed:
  • Centorrino, S.
  • Massetti, E.
  • Mohaddes, K.
  • Raissi, M.
  • Yang, J-C.

Abstract

This paper studies how increasing temperatures have affected the economies of 195 countries between 1960 and 2022, focusing on income losses caused by gradual shifts to new climate conditions. We contribute to the expanding literature on climate-macroeconomic linkages by developing a dynamic heterogeneous panel model that distinguishes between the long-term and short-term effects, accounts for adaptation through rolling climate norms, and addresses key econometric challenges including non-stationarity, cross-country heterogeneity, and unobserved global factors. Our findings reveal that a sustained 0.01°C annual increase in temperatures above historical climate norms reduces global GDP per capita growth by 0.05 percentage points per year, with income losses accumulating as long as temperatures keep increasing. This effect is 70% larger than what would be estimated under a homogeneous panel specification. Contrary to much of the existing literature, no country appears immune to the impacts of rising temperatures: middle- and high-income nations, as well as those in temperate or cold, and hot climate zones, all exhibit persistent (though not permanent) growth slowdowns, with income losses linked to how quickly they adapt.

Suggested Citation

  • Centorrino, S. & Massetti, E. & Mohaddes, K. & Raissi, M. & Yang, J-C., 2026. "Macroeconomic Consequences of Sustained Warming: A Bias-Corrected Dynamic Heterogeneous Panel Approach," Cambridge Working Papers in Economics 2617, Faculty of Economics, University of Cambridge.
  • Handle: RePEc:cam:camdae:2617
    as

    Download full text from publisher

    File URL: https://www.econ.cam.ac.uk/sites/default/files/publication-cwpe-pdfs/cwpe2617.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    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:cam:camdae:2617. 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: Jake Dyer (email available below). General contact details of provider: https://www.econ.cam.ac.uk/ .

    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.