IDEAS home Printed from https://ideas.repec.org/p/ulp/sbbeta/2019-27.html
   My bibliography  Save this paper

Reexamining the growth effects of ENSO: the role of local weather conditions

Author

Listed:
  • Cécile Couharde
  • Olivier Damette
  • Rémi Generoso
  • Kamiar Mohaddes

Abstract

This paper examines the growth effects of ENSO events through their interactions with local weather conditions using the Standardized Precipitation and Evapotranspiration Index (SPEI) from 1975 to 2014 and over a sample of 74 countries. The inclusion of SPEI in panel estimation makes it possible to control for time-varying country-specific effects of ENSO events, therefore outlining their heterogeneous effects on growth and eliminating a potential source of omitted-variable bias. By better identifying the persistence of ENSO effects on local weather conditions, we evidence that ENSO events generate heterogeneous and local effects depending not only on countries’ climate regime but also on their weather patterns. Our results suggest that examining the growth effects of ENSO events should thus explicitly account for their interaction with weather patterns to capture more precisely the heterogeneity across countries.

Suggested Citation

  • Cécile Couharde & Olivier Damette & Rémi Generoso & Kamiar Mohaddes, 2019. "Reexamining the growth effects of ENSO: the role of local weather conditions," Working Papers of BETA 2019-27, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    • Handle: RePEc:ulp:sbbeta:2019-27
    as

    Download full text from publisher

    File URL: http://beta.u-strasbg.fr/WP/2019/2019-27.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Marshall Burke & Solomon M. Hsiang & Edward Miguel, 2015. "Global non-linear effect of temperature on economic production," Nature, Nature, vol. 527(7577), pages 235-239, November.
    2. Solomon Hsiang & Robert E. Kopp, 2018. "An Economist's Guide to Climate Change Science," Journal of Economic Perspectives, American Economic Association, vol. 32(4), pages 3-32, Fall.
    3. Berry, Brian J.L. & Okulicz-Kozaryn, Adam, 2008. "Are there ENSO signals in the macroeconomy," Ecological Economics, Elsevier, vol. 64(3), pages 625-633, January.
    4. Smith, Sarah C. & Ubilava, David, 2017. "The El Niño Southern Oscillation and Economic Growth in the Developing World," Working Papers 2017-11, University of Sydney, School of Economics, revised May 2017.
    5. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    6. Beck, Nathaniel & Katz, Jonathan N., 1995. "What To Do (and Not to Do) with Time-Series Cross-Section Data," American Political Science Review, Cambridge University Press, vol. 89(3), pages 634-647, September.
    7. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    8. 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.
    9. Cashin, Paul & Mohaddes, Kamiar & Raissi, Mehdi, 2017. "Fair weather or foul? The macroeconomic effects of El Niño," Journal of International Economics, Elsevier, vol. 106(C), pages 37-54.
    10. Thanarak Laosuthi & David D. Selover, 2007. "Does El Nino Affect Business Cycles," Eastern Economic Journal, Eastern Economic Association, vol. 33(1), pages 21-42, Winter.
    11. Allan D. Brunner, 2002. "El Niño and World Primary Commodity Prices: Warm Water or Hot Air?," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 176-183, February.
    12. Marco Letta & Richard S. J. Tol, 2019. "Weather, Climate and Total Factor Productivity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(1), pages 283-305, May.
    13. Maximilian Auffhammer & Solomon M. Hsiang & Wolfram Schlenker & Adam Sobel, 2013. "Using Weather Data and Climate Model Output in Economic Analyses of Climate Change," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 7(2), pages 181-198, July.
    14. Solomon M. Hsiang & Kyle C. Meng & Mark A. Cane, 2011. "Civil conflicts are associated with the global climate," Nature, Nature, vol. 476(7361), pages 438-441, August.
    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. 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.

    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. Rémi Generoso & Cécile Couharde & Olivier Damette & Kamiar Mohaddes, 2020. "The Growth Effects of El Niño and La Niña: Local Weather Conditions Matter," Annals of Economics and Statistics, GENES, issue 140, pages 83-126.
    2. Andrea Bastianin & Alessandro Lanza & Matteo Manera, 2018. "Economic impacts of El Niño southern oscillation: evidence from the Colombian coffee market," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 623-633, September.
    3. Salisu, Afees A. & Gupta, Rangan & Nel, Jacobus & Bouri, Elie, 2022. "The (Asymmetric) effect of El Niño and La Niña on gold and silver prices in a GVAR model," Resources Policy, Elsevier, vol. 78(C).
    4. Smith, Sarah C. & Ubilava, David, 2017. "The El Niño Southern Oscillation and Economic Growth in the Developing World," Working Papers 2017-11, University of Sydney, School of Economics, revised May 2017.
    5. Gilles Dufrénot & William Ginn & Marc Pourroy, 2023. "ENSO Climate Patterns on Global Economic Conditions," AMSE Working Papers 2308, Aix-Marseille School of Economics, France.
    6. Davinson Stev Abril‐Salcedo & Luis Fernando Melo‐Velandia & Daniel Parra‐Amado, 2020. "Nonlinear relationship between the weather phenomenon El niño and Colombian food prices," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1059-1086, October.
    7. Cashin, Paul & Mohaddes, Kamiar & Raissi, Mehdi, 2017. "Fair weather or foul? The macroeconomic effects of El Niño," Journal of International Economics, Elsevier, vol. 106(C), pages 37-54.
    8. Mohammad Reza Yeganegi & Hossein Hassani & Rangan Gupta, 2023. "The ENSO cycle and forecastability of global inflation and output growth: Evidence from standard and mixed‐frequency multivariate singular spectrum analyses," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1690-1707, November.
    9. Luis Fernando Melo‐Velandia & Camilo Andrés Orozco‐Vanegas & Daniel Parra‐Amado, 2022. "Extreme weather events and high Colombian food prices: A non‐stationary extreme value approach," Agricultural Economics, International Association of Agricultural Economists, vol. 53(S1), pages 21-40, November.
    10. Mehmet Balcilar & Elie Bouri & Rangan Gupta & Christian Pierdzioch, 2021. "El Niño, La Niña, and the Forecastability of the Realized Variance of Heating Oil Price Movements," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    11. Checo, Ariadne & Mejía, Mariam & Ramírez, Francisco A., 2017. "El rol de los regímenes de precipitaciones sobre la dinámica de precios y actividad del sector agropecuario de la República Dominicana durante el período 2000-2016 [The role of rainfall regimes on ," MPRA Paper 80301, University Library of Munich, Germany.
    12. Emediegwu, Lotanna E. & Wossink, Ada & Hall, Alastair, 2022. "The impacts of climate change on agriculture in sub-Saharan Africa: A spatial panel data approach," World Development, Elsevier, vol. 158(C).
    13. Kahn, Matthew E. & Mohaddes, Kamiar & Ng, Ryan N.C. & Pesaran, M. Hashem & Raissi, Mehdi & Yang, Jui-Chung, 2021. "Long-term macroeconomic effects of climate change: A cross-country analysis," Energy Economics, Elsevier, vol. 104(C).
    14. Elie Bouri & Rangan Gupta & Luca Rossini, 2022. "The Role of the Monthly ENSO in Forecasting the Daily Baltic Dry Index," Working Papers 202229, University of Pretoria, Department of Economics.
    15. Oscar Zapata, 2023. "Weather Disasters, Material Losses and Income Inequality: Evidence from a Tropical, Middle-Income Country," Economics of Disasters and Climate Change, Springer, vol. 7(2), pages 231-251, July.
    16. Letta, Marco & Montalbano, Pierluigi & Tol, Richard S.J., 2018. "Temperature shocks, short-term growth and poverty thresholds: Evidence from rural Tanzania," World Development, Elsevier, vol. 112(C), pages 13-32.
    17. Ma Jiliang Jiliang & Jean-Francois Maystadt, 2016. "Weather shocks, maize yields and adaptation in rural China," Working Papers 104825642, Lancaster University Management School, Economics Department.
    18. Damette, Olivier & Goutte, Stéphane, 2023. "Beyond climate and conflict relationships: New evidence from a Copula-based analysis on an historical perspective," Journal of Comparative Economics, Elsevier, vol. 51(1), pages 295-323.
    19. Surender Kumar & Madhu Khanna, 2019. "Temperature and production efficiency growth: empirical evidence," Climatic Change, Springer, vol. 156(1), pages 209-229, September.
    20. Wei, Yu & Zhang, Jiahao & Chen, Yongfei & Wang, Yizhi, 2022. "The impacts of El Niño-southern oscillation on renewable energy stock markets: Evidence from quantile perspective," Energy, Elsevier, vol. 260(C).

    More about this item

    Keywords

    Economic growth; ENSO events; Weather conditions.;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    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:ulp:sbbeta:2019-27. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bestrfr.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.