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On the use of machine learning for causal inference in climate economics

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  • Isabel Hovdahl

Abstract

One of the most important research questions in climate economics is the relationship between temperatures and human mortality. This paper develops a procedure that enables the use of machine learning for estimating the causal temperature-mortality relationship. The machine-learning model is compared to a traditional OLS model, and although both models are capturing the causal temperature-mortality relationship, they deliver very different predictions of the effect of climate change on mortality. These differences are mainly caused by different abilities regarding extrapolation and estimation of marginal effects. The procedure developed in this paper can find applications in other fields far beyond climate economics.

Suggested Citation

  • Isabel Hovdahl, 2019. "On the use of machine learning for causal inference in climate economics," Working Papers No 05/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    • Handle: RePEc:bny:wpaper:0077
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    File URL: http://hdl.handle.net/11250/2602267
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    References listed on IDEAS

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    1. Barreca, Alan I., 2012. "Climate change, humidity, and mortality in the United States," Journal of Environmental Economics and Management, Elsevier, vol. 63(1), pages 19-34.
    2. Ranson, Matthew, 2014. "Crime, weather, and climate change," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 274-302.
    3. Stefan Wager & Susan Athey, 2018. "Estimation and Inference of Heterogeneous Treatment Effects using Random Forests," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1228-1242, July.
    4. Benjamin F. Jones & Benjamin A. Olken, 2010. "Climate Shocks and Exports," American Economic Review, American Economic Association, vol. 100(2), pages 454-459, May.
    5. Jon Kleinberg & Jens Ludwig & Sendhil Mullainathan & Ziad Obermeyer, 2015. "Prediction Policy Problems," American Economic Review, American Economic Association, vol. 105(5), pages 491-495, May.
    6. Olivier Deschênes & Michael Greenstone, 2011. "Climate Change, Mortality, and Adaptation: Evidence from Annual Fluctuations in Weather in the US," American Economic Journal: Applied Economics, American Economic Association, vol. 3(4), pages 152-185, October.
    7. Tamma Carleton & Amir Jina & Michael Delgado & Michael Greenstone & Trevor Houser & Solomon Hsiang & Andrew Hultgren & Robert E Kopp & Kelly E McCusker & Ishan Nath & James Rising & Ashwin Rode & Hee , 2023. "Valuing the Global Mortality Consequences of Climate Change Accounting for Adaptation Costs and Benefits," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(4), pages 2037-2105.
    8. Alan Barreca & Karen Clay & Olivier Deschenes & Michael Greenstone & Joseph S. Shapiro, 2016. "Adapting to Climate Change: The Remarkable Decline in the US Temperature-Mortality Relationship over the Twentieth Century," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 105-159.
    9. Susan Athey & Guido Imbens & Thai Pham & Stefan Wager, 2017. "Estimating Average Treatment Effects: Supplementary Analyses and Remaining Challenges," American Economic Review, American Economic Association, vol. 107(5), pages 278-281, May.
    10. Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
    11. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    12. Brian Jacob & Lars Lefgren & Enrico Moretti, 2007. "The Dynamics of Criminal Behavior: Evidence from Weather Shocks," Journal of Human Resources, University of Wisconsin Press, vol. 42(3).
    13. Olivier Deschênes & Michael Greenstone, 2007. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather," American Economic Review, American Economic Association, vol. 97(1), pages 354-385, March.
    14. Paul J. Burke & Andrew Leigh, 2010. "Do Output Contractions Trigger Democratic Change?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(4), pages 124-157, October.
    15. Susan Athey, 2018. "The Impact of Machine Learning on Economics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 507-547, National Bureau of Economic Research, Inc.
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    Keywords

    Climate change; machine learning; mortality;
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