IDEAS home Printed from https://ideas.repec.org/p/aoz/wpaper/373.html
   My bibliography  Save this paper

Analyzing the Short and Long-term Economic Impact of Natural Disasters at a Local Level: Evidence from Chile

Author

Listed:
  • Tomás Baioni

    (UNLP)

Abstract

One of the salient aspects of climate change is the increment of both the intensity and frequency of natural disasters. This paper addresses how these factors interplay at a local level, focusing on Chilean regions at a quarterly basis for the period 2009–2025. To analyze intensity, I rely on the local projections method and find that on average, a 1% shock in natural disasters’ intensity has an immediate negative effect in employment by 0.057%, and an immediate negative effect on the debt market, increasing the household debt by 0.123 p.p. Overall, my results suggest that a 1% shock in natural disasters’ intensity has an immediate positive effect in real GDP by 0.015%, and a significant long-term negative effect on GDP by 0.054%, potentially showing signs of hysteresis. On the other hand, to analyze natural disasters’ frequency, I rely on a local projections difference-in-differences (LP-DID) estimator and find that those Chilean regions that suffer a natural disaster are more likely to experience short-term decreases in employment and GDP by 0.005% and 0.003%, respectively. I rely on a panel VAR model to estimate the impact of natural disasters’ intensity as robustness checks, and find that my original conclusions hold: natural disasters have a short-term negative effect on employment at 0.005% and a long-term negative effect on growth at 0.170%.

Suggested Citation

  • Tomás Baioni, 2025. "Analyzing the Short and Long-term Economic Impact of Natural Disasters at a Local Level: Evidence from Chile," Working Papers 373, Red Nacional de Investigadores en Economía (RedNIE).
  • Handle: RePEc:aoz:wpaper:373
    as

    Download full text from publisher

    File URL: https://rednie.eco.unc.edu.ar/files/DT/373.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • H70 - Public Economics - - State and Local Government; Intergovernmental Relations - - - General
    • 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:aoz:wpaper:373. 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: Laura Inés D Amato (email available below). General contact details of provider: https://edirc.repec.org/data/redniar.html .

    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.