IDEAS home Printed from https://ideas.repec.org/a/cup/jechis/v77y2017i03p756-795_00.html
   My bibliography  Save this article

Adapting to the Weather: Lessons from U.S. History

Author

Listed:
  • Bleakley, Hoyt
  • Hong, Sok Chul

Abstract

An important unknown in understanding the impact of climate change is the scope of adaptation, which requires observations on historical time scales. We consider how weather across U.S. history (1860–2000) has affected various measures of productivity. Using cross-sectional and panel methods, we document significant responses of agricultural and individual productivity to weather. We find strong effects of hotter and wetter weather early in U.S. history, but these effects have generally been attenuated in recent decades. The results suggest that estimates from a given period may be of limited use in forecasting the longer-term impacts of climate change.

Suggested Citation

  • Bleakley, Hoyt & Hong, Sok Chul, 2017. "Adapting to the Weather: Lessons from U.S. History," The Journal of Economic History, Cambridge University Press, vol. 77(3), pages 756-795, September.
    • Handle: RePEc:cup:jechis:v:77:y:2017:i:03:p:756-795_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S0022050717000675/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maurizio Malpede, 2023. "Malaria and economic activity: Evidence from US agriculture," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(5), pages 1516-1542, October.
    2. Arbex, Marcelo & Batu, Michael, 2020. "What if people value nature? Climate change and welfare costs," Resource and Energy Economics, Elsevier, vol. 61(C).
    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. Bento, Antonio M. & Miller, Noah & Mookerjee, Mehreen & Severnini, Edson R., 2020. "A Unifying Approach to Measuring Climate Change Impacts and Adaptation," IZA Discussion Papers 13290, Institute of Labor Economics (IZA).
    5. Sichko, Christopher, 2021. "Migrant Selection and Sorting during the Great American Drought," SocArXiv wm2p3, Center for Open Science.
    6. Sichko, Christopher T., 2023. "Drought and Migration during the Great Depression," 2023 Annual Meeting, July 23-25, Washington D.C. 335558, Agricultural and Applied Economics Association.

    More about this item

    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:cup:jechis:v:77:y:2017:i:03:p:756-795_00. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/jeh .

    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.