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Time-Varying effects of extreme weather shocks on output growth of the United States

Author

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  • Sheng, Xin
  • Gupta, Rangan
  • Cepni, Oguzhan

Abstract

This study investigates the impact of a structural shock to a metric of extreme weather, identified using sign restrictions, on output growth (and inflation) in the United States (US) from 1961 to 2022, using a new class of time-varying parameter vector autoregressive (endogenous TVP-VAR) model, whereby the identified structural innovation is allowed to influence the dynamics of the coefficients in the model unlike in traditional TVP-VARs. Our results provided evidence that severe weather shocks adversely affect output growth (and inflation) over the forecast horizon of one- to twelve-quarter-ahead. More importantly, we find that the effect of extreme weather on the US macroeconomic variables is indeed time-varying, with the impacts becoming smaller in recent times, possibly due to improved adaptation to climate change.

Suggested Citation

  • Sheng, Xin & Gupta, Rangan & Cepni, Oguzhan, 2024. "Time-Varying effects of extreme weather shocks on output growth of the United States," Finance Research Letters, Elsevier, vol. 70(C).
  • Handle: RePEc:eee:finlet:v:70:y:2024:i:c:s1544612324013473
    DOI: 10.1016/j.frl.2024.106318
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    1. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    2. Danilo Leiva-Leon & Luis Uzeda, 2023. "Endogenous Time Variation in Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 105(1), pages 125-142, January.
    3. Olivier Fortin‐Gagnon & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2022. "A large Canadian database for macroeconomic analysis," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(4), pages 1799-1833, November.
    4. Gupta, Rangan & Nel, Jacobus & Salisu, Afees A. & Ji, Qiang, 2023. "Predictability of economic slowdowns in advanced countries over eight centuries: The role of climate risks," Finance Research Letters, Elsevier, vol. 54(C).
    5. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    6. Sheng, Xin & Gupta, Rangan & Çepni, Oğuzhan, 2022. "The effects of climate risks on economic activity in a panel of US states: The role of uncertainty," Economics Letters, Elsevier, vol. 213(C).
    7. Santi, Caterina, 2023. "Investor climate sentiment and financial markets," International Review of Financial Analysis, Elsevier, vol. 86(C).
    8. Xu, Yongan & Duong, Duy & Xu, Hualong, 2023. "Attention! Predicting crude oil prices from the perspective of extreme weather," Finance Research Letters, Elsevier, vol. 57(C).
    9. Cepni, Oguzhan & Christou, Christina & Gupta, Rangan, 2023. "Forecasting national recessions of the United States with state-level climate risks: Evidence from model averaging in Markov-switching models," Economics Letters, Elsevier, vol. 227(C).
    10. Piergiorgio Alessandri & Haroon Mumtaz, 2021. "The Macroeconomic Cost of Climate Volatility," Working Papers 928, Queen Mary University of London, School of Economics and Finance.
    11. Rietz, Thomas A., 1988. "The equity risk premium a solution," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 117-131, July.
    12. Zhang, Zhihao, 2023. "Are climate risks helpful for understanding inflation in BRICS countries?," Finance Research Letters, Elsevier, vol. 58(PB).
    13. Robert J. Barro, 2006. "Rare Disasters and Asset Markets in the Twentieth Century," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(3), pages 823-866.
    14. Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2023. "Reconciled Estimates of Monthly GDP in the United States," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(2), pages 563-577, April.
    15. Sheng, Xin & Gupta, Rangan & Cepni, Oguzhan, 2022. "Persistence of state-level uncertainty of the United States: The role of climate risks," Economics Letters, Elsevier, vol. 215(C).
    16. Gong, Xu & Fu, Chengbo & Huang, Qiping & Lin, Meimei, 2022. "International political uncertainty and climate risk in the stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    17. Oguzhan Cepni & Rangan Gupta & Wenting Liao & Jun Ma, 2024. "Climate risks and forecastability of the weekly state‐level economic conditions of the United States," International Review of Finance, International Review of Finance Ltd., vol. 24(1), pages 154-162, March.
    18. Gong, Xu & Song, Yijie & Fu, Chengbo & Li, Huijing, 2023. "Climate risk and stock performance of fossil fuel companies: An international analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 89(C).
    19. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    20. Faccini, Renato & Matin, Rastin & Skiadopoulos, George, 2023. "Dissecting climate risks: Are they reflected in stock prices?," Journal of Banking & Finance, Elsevier, vol. 155(C).
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    More about this item

    Keywords

    Severe weather; Endogenous TVP-VAR; Growth; Inflation;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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