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Weather Shocks

Author

Listed:
  • Ewen Gallic

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Gauthier Vermandel

    (Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres, France Stratégie)

Abstract

How much do weather shocks matter? The literature addresses this question in two isolated ways: either by looking at long-term effects through the prism of calibrated theoretical models, or by focusing on both short and long terms through the lens of empirical models. We propose a framework that reconciles these two approaches by taking the theory to the data in two complementary ways. We first document the propagation mechanism of a weather shock using a Vector Auto-Regressive model on New Zealand Data. To explain the mechanism, we build and estimate a general equilibrium model with a weather-dependent agricultural sector to investigate the weather's business cycle implications. We find that weather shocks: (i) explain about 35% of GDP and agricultural output fluctuations in New Zealand; (ii) entail a welfare cost of 0.30% of permanent consumption; (iii) critically increases the macroeconomic volatility under climate change, resulting in a higher welfare cost peaking to 0.46% in the worst case scenario of climate change.

Suggested Citation

  • Ewen Gallic & Gauthier Vermandel, 2020. "Weather Shocks," Post-Print hal-02498669, HAL.
    • Handle: RePEc:hal:journl:hal-02498669
    DOI: 10.1016/j.euroecorev.2020.103409
    Note: View the original document on HAL open archive server: https://amu.hal.science/hal-02498669v1
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    Cited by:

    1. Monica Billio & Roberto Casarin & Enrica De Cian & Malcolm Mistry & Anthony Osuntuyi, 2020. "The impact of Climate on Economic and Financial Cycles: A Markov-switching Panel Approach," Papers 2012.14693, arXiv.org.
    2. Stefano Carattini & Garth Heutel & Givi Melkadze, 2023. "Climate Policy, Financial Frictions, and Transition Risk," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 778-794, December.
    3. Drudi, Francesco & Moench, Emanuel & Holthausen, Cornelia & Weber, Pierre-François & Ferrucci, Gianluigi & Setzer, Ralph & Adao, Bernardino & Dées, Stéphane & Alogoskoufis, Spyros & Téllez, Mar Delgad, 2021. "Climate change and monetary policy in the euro area," Occasional Paper Series 271, European Central Bank.
    4. Stefan Mittnik & Willi Semmler & Alexander Haider, 2020. "Climate Disaster Risks—Empirics and a Multi-Phase Dynamic Model," Econometrics, MDPI, vol. 8(3), pages 1-27, August.
    5. Olivier R de Bandt & Luc Jacolin & Thibault Lemaire, 2021. "Climate Change in Developing Countries: Global Warming Effects, Transmission Channels and Adaptation Policies," Working Papers hal-03948704, HAL.
    6. Marcelo Arbex & Michael Batu, 2017. "Weather, Climate and the Economy: Welfare Implications of Temperature Shocks," Working Papers 1707, University of Windsor, Department of Economics.
    7. Chen, Chuanqi & Pan, Dongyang, 2020. "The Optimal Mix of Monetary and Climate Policy," MPRA Paper 97718, University Library of Munich, Germany.
    8. Eszter Boros, 2020. "Risks of Climate Change and Credit Institution Stress Tests," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 19(4), pages 107-131.

    More about this item

    Keywords

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    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • 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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