IDEAS home Printed from https://ideas.repec.org/p/ecb/ecbwps/20232798.html
   My bibliography  Save this paper

The asymmetric effects of weather shocks on euro area inflation

Author

Listed:
  • Ciccarelli, Matteo
  • Kuik, Friderike
  • Martínez Hernández, Catalina

Abstract

This paper assesses the impact of weather shocks on inflation components in the four largest euro area economies. We combine high-frequency weather data with monthly data on inflation and output growth within a set of Bayesian Vector Autore-gressions which explicitly considers the seasonal dependence of the shock. Results suggest the presence of significant country asymmetries and seasonal responses of inflation to temperature shocks, mainly via food, energy, and service prices. An increase in monthly mean temperatures has inflationary effects in summer and au-tumn, with a stronger response in warmer euro area countries. An increase in temperature variability has significant upward impacts on inflation rates over and above the impacts of changes in means. JEL Classification: Q54, E31, C32

Suggested Citation

  • Ciccarelli, Matteo & Kuik, Friderike & Martínez Hernández, Catalina, 2023. "The asymmetric effects of weather shocks on euro area inflation," Working Paper Series 2798, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20232798
    Note: 224580
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu//pub/pdf/scpwps/ecb.wp2798~0608a462fb.en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Joshua Graff Zivin & Matthew Neidell, 2014. "Temperature and the Allocation of Time: Implications for Climate Change," Journal of Labor Economics, University of Chicago Press, vol. 32(1), pages 1-26.
    2. Riccardo Colacito & Bridget Hoffmann & Toan Phan, 2019. "Temperature and Growth: A Panel Analysis of the United States," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(2-3), pages 313-368, March.
    3. Auffhammer, Maximilian & Schlenker, Wolfram, 2014. "Empirical studies on agricultural impacts and adaptation," Energy Economics, Elsevier, vol. 46(C), pages 555-561.
    4. Piergiorgio Alessandri & Haroon Mumtaz, 2021. "The Macroeconomic Cost of Climate Volatility," Working Papers 928, Queen Mary University of London, School of Economics and Finance.
    5. Christopher A. Sims, 1993. "A Nine-Variable Probabilistic Macroeconomic Forecasting Model," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 179-212, National Bureau of Economic Research, Inc.
    6. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    7. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015. "Prior Selection for Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.
    8. Charles D. Kolstad & Frances C. Moore, 2020. "Estimating the Economic Impacts of Climate Change Using Weather Observations," Review of Environmental Economics and Policy, University of Chicago Press, vol. 14(1), pages 1-24.
    9. Felbermayr, Gabriel & Gröschl, Jasmin, 2014. "Naturally negative: The growth effects of natural disasters," Journal of Development Economics, Elsevier, vol. 111(C), pages 92-106.
    10. 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.
    11. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2012. "Temperature Shocks and Economic Growth: Evidence from the Last Half Century," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(3), pages 66-95, July.
    12. Kuik, Friderike & Adolfsen, Jakob Feveile & Meyler, Aidan & Lis, Eliza, 2022. "Energy price developments in and out of the COVID-19 pandemic – from commodity prices to consumer prices," Economic Bulletin Articles, European Central Bank, vol. 4.
    13. Boneva, Lena & Ferrucci, Gianluigi, 2022. "Inflation and climate change: the role of climate variables in inflation forecasting and macro modelling," LSE Research Online Documents on Economics 115533, London School of Economics and Political Science, LSE Library.
    14. Marta Bańbura, 2008. "Large Bayesian VARs," 2008 Meeting Papers 334, Society for Economic Dynamics.
    15. Maximilian Kotz & Anders Levermann & Leonie Wenz, 2022. "The effect of rainfall changes on economic production," Nature, Nature, vol. 601(7892), pages 223-227, January.
    16. 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.
    17. K. Mukherjee & B. Ouattara, 2021. "Climate and monetary policy: do temperature shocks lead to inflationary pressures?," Climatic Change, Springer, vol. 167(3), pages 1-21, August.
    18. Felbermayr, Gabriel & Gröschl, Jasmin & Sanders, Mark & Schippers, Vincent & Steinwachs, Thomas, 2022. "The economic impact of weather anomalies," World Development, Elsevier, vol. 151(C).
    19. Robert B. Litterman, 1979. "Techniques of forecasting using vector autoregressions," Working Papers 115, Federal Reserve Bank of Minneapolis.
    20. Auffhammer, Maximilian & Mansur, Erin T., 2014. "Measuring climatic impacts on energy consumption: A review of the empirical literature," Energy Economics, Elsevier, vol. 46(C), pages 522-530.
    21. Kuik, Friderike & Morris, Richard & Sun, Yiqiao, 2022. "The impact of climate change on activity and prices – insights from a survey of leading firms," Economic Bulletin Boxes, European Central Bank, vol. 4.
    22. Maximilian Kotz & Leonie Wenz & Annika Stechemesser & Matthias Kalkuhl & Anders Levermann, 2021. "Day-to-day temperature variability reduces economic growth," Nature Climate Change, Nature, vol. 11(4), pages 319-325, April.
    23. Koester, Gerrit & Rubene, Ieva & Gonçalves, Eduardo & Nordeman, Jakob, 2021. "Recent developments in pipeline pressures for non-energy industrial goods inflation in the euro area," Economic Bulletin Boxes, European Central Bank, vol. 5.
    24. Natoli, Filippo, 2022. "Temperature surprise shocks," MPRA Paper 112568, University Library of Munich, Germany.
    25. Kousky, Carolyn, 2014. "Informing climate adaptation: A review of the economic costs of natural disasters," Energy Economics, Elsevier, vol. 46(C), pages 576-592.
    26. Miles Parker, 2018. "The Impact of Disasters on Inflation," Economics of Disasters and Climate Change, Springer, vol. 2(1), pages 21-48, April.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Cunpu Li & Xuetong Zhang & Jing He, 2023. "Impact of Climate Change on Inflation in 26 Selected Countries," Sustainability, MDPI, vol. 15(17), pages 1-22, August.
    2. Erwan Gautier & Christoph Grosse Steffen & Magali Marx & Paul Vertier, 2023. "Decomposing the Inflation Response to Weather-Related Disasters," Working papers 935, Banque de France.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Filippo Natoli, 2023. "The macroeconomic effects of temperature surprise shocks," Temi di discussione (Economic working papers) 1407, Bank of Italy, Economic Research and International Relations Area.
    2. Paulo M. M. Rodrigues & Mirjam Salish & Nazarii Salish, 2024. "Saving for sunny days: The impact of climate (change) on consumer prices in the euro area," Papers 2401.03740, arXiv.org.
    3. Jimmy Karlsson, 2021. "Temperature and Exports: Evidence from the United States," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(2), pages 311-337, October.
    4. Chang, Jun-Jie & Mi, Zhifu & Wei, Yi-Ming, 2023. "Temperature and GDP: A review of climate econometrics analysis," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 383-392.
    5. Ciccarelli, Matteo & Kuik, Friderike & Martínez Hernández, Catalina, 2023. "The outlook is mixed: the asymmetric effects of weather shocks on inflation," Research Bulletin, European Central Bank, vol. 111.
    6. Kotz, Maximilian & Kuik, Friderike & Lis, Eliza & Nickel, Christiane, 2023. "The impact of global warming on inflation: averages, seasonality and extremes," Working Paper Series 2821, European Central Bank.
    7. Natoli, Filippo, 2022. "Temperature surprise shocks," MPRA Paper 112568, University Library of Munich, Germany.
    8. Hee Soo (test record) Kim & Christian Matthes & Toan Phan, 2011. "Extreme Weather and the Macroeconomy," Working Paper 21-14, Federal Reserve Bank of Richmond.
    9. Haroon Mumtaz & Fulvia Marotta, 2023. "Vulnerability to Climate Change: Evidence from a Dynamic Factor Model," Working Papers 961, Queen Mary University of London, School of Economics and Finance.
    10. Ho, Paul, 2023. "Global robust Bayesian analysis in large models," Journal of Econometrics, Elsevier, vol. 235(2), pages 608-642.
    11. Karlsson, Sune, 2013. "Forecasting with Bayesian Vector Autoregression," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 791-897, Elsevier.
    12. Eduardo Cavallo & Bridget Hoffmann & Ilan Noy, 2023. "Disasters and Climate Change in Latin America and the Caribbean: An Introduction to the Special Issue," Economics of Disasters and Climate Change, Springer, vol. 7(2), pages 135-145, July.
    13. Hannes Boehm, 2022. "Physical climate change and the sovereign risk of emerging economies," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 11(1), pages 1-41, December.
    14. Faccia, Donata & Parker, Miles & Stracca, Livio, 2021. "Feeling the heat: extreme temperatures and price stability," Working Paper Series 2626, European Central Bank.
    15. Gupta, Rangan & Kotzé, Kevin, 2017. "The role of oil prices in the forecasts of South African interest rates: A Bayesian approach," Energy Economics, Elsevier, vol. 61(C), pages 270-278.
    16. Bańbura, Marta & Giannone, Domenico & Lenza, Michele, 2015. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," International Journal of Forecasting, Elsevier, vol. 31(3), pages 739-756.
    17. Chaitat Jirophat & Pym Manopimoke & Suparit Suwanik, 2022. "The Macroeconomic Effects of Climate Shocks in Thailand," PIER Discussion Papers 188, Puey Ungphakorn Institute for Economic Research.
    18. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian Vector Autoregressions," The Warwick Economics Research Paper Series (TWERPS) 1159, University of Warwick, Department of Economics.
    19. Anttonen, Jetro, 2018. "Nowcasting the Unemployment Rate in the EU with Seasonal BVAR and Google Search Data," ETLA Working Papers 62, The Research Institute of the Finnish Economy.
    20. Giannone, Domenico & Lenza, Michele & Momferatou, Daphne & Onorante, Luca, 2014. "Short-term inflation projections: A Bayesian vector autoregressive approach," International Journal of Forecasting, Elsevier, vol. 30(3), pages 635-644.

    More about this item

    Keywords

    climate change; inflation; temperature shocks; vector autoregression;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • 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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ecb:ecbwps:20232798. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Official Publications (email available below). General contact details of provider: https://edirc.repec.org/data/emieude.html .

    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.