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Adapting to Climate Risk? Local Population Dynamics in the United States

Author

Listed:
  • Agustín Indaco

    (Carnegie Mellon University in Qatar)

  • Francesc Ortega

    (CUNY, Queens College)

Abstract

Using a new composite climate-risk index, we show that population in high-risk counties has grown disproportionately over the last few decades, even relative to the corresponding commuting zone. We also find that the agglomeration is largely driven by increases in the (white) working-age population. In addition, we show that high-risk tracts have typically grown more than low-risk tracts within the same county, suggesting the presence of highly localized amenities in high-risk areas. We also document heterogeneous population dynamics along a number of dimensions. Specifically, population has been retreating from high-risk, lowurbanization locations, but continues to grow in high-risk areas with high residential capital. The findings above hold for most climate hazards. However, we document that tracts with high risk of coastal flooding have grown significantly less than other tracts in the same county

Suggested Citation

  • Agustín Indaco & Francesc Ortega, 2023. "Adapting to Climate Risk? Local Population Dynamics in the United States," Working Papers 224, Red Nacional de Investigadores en Economía (RedNIE).
  • Handle: RePEc:aoz:wpaper:224
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    File URL: https://rednie.eco.unc.edu.ar/files/DT/224.pdf
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    References listed on IDEAS

    as
    1. Ivan Petkov, 2022. "Weather Shocks, Population, and Housing Prices: the Role of Expectation Revisions," Economics of Disasters and Climate Change, Springer, vol. 6(3), pages 495-540, November.
    2. Rappaport, Jordan & Sachs, Jeffrey D, 2003. "The United States as a Coastal Nation," Journal of Economic Growth, Springer, vol. 8(1), pages 5-46, March.
    3. Agustín Indaco & Francesc Ortega & Süleyman Taṣpınar, 2021. "Hurricanes, flood risk and the economic adaptation of businesses," Journal of Economic Geography, Oxford University Press, vol. 21(4), pages 557-591.
    4. Boustan, Leah Platt & Kahn, Matthew E. & Rhode, Paul W. & Yanguas, Maria Lucia, 2020. "The effect of natural disasters on economic activity in US counties: A century of data," Journal of Urban Economics, Elsevier, vol. 118(C).
    5. Tatyana Deryugina & Laura Kawano & Steven Levitt, 2018. "The Economic Impact of Hurricane Katrina on Its Victims: Evidence from Individual Tax Returns," American Economic Journal: Applied Economics, American Economic Association, vol. 10(2), pages 202-233, April.
    6. Ortega, Francesc & Taṣpınar, Süleyman, 2018. "Rising sea levels and sinking property values: Hurricane Sandy and New York’s housing market," Journal of Urban Economics, Elsevier, vol. 106(C), pages 81-100.
    7. Mark D. Partridge & Bo Feng & Mark Rembert, 2017. "Improving Climate-Change Modeling of US Migration," American Economic Review, American Economic Association, vol. 107(5), pages 451-455, May.
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    Cited by:

    1. Evelyn G. Shu & Jeremy R. Porter & Mathew E. Hauer & Sebastian Sandoval Olascoaga & Jesse Gourevitch & Bradley Wilson & Mariah Pope & David Melecio-Vazquez & Edward Kearns, 2023. "Integrating climate change induced flood risk into future population projections," Nature Communications, Nature, vol. 14(1), pages 1-9, December.

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    More about this item

    Keywords

    Climate risk; Agglomeration; Migration;
    All these keywords.

    JEL classification:

    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J7 - Labor and Demographic Economics - - Labor Discrimination

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