IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/81230.html
   My bibliography  Save this paper

Weather Shocks, Climate Change and Business Cycles

Author

Listed:
  • Gallic, Ewen
  • Vermandel, Gauthier

Abstract

How much do weather shocks matter? This paper analyzes the role of weather shocks in the generation and propagation of business cycles. We develop and estimate an original DSGE model with a weather-dependent agricultural sector. The model is estimated using Bayesian methods and quarterly data for New Zealand over the sample period 1994:Q2 to 2016:Q4. Our model suggests that weather shocks play an important role in explaining macroeconomic fluctuations over the sample period. A weather shock -- as measured by a drought index -- acts as a negative supply shock characterized by declining output and rising relative prices in the agricultural sector. Increasing the variance of weather shocks in accordance with forthcoming climate change leads to a sizable increase in the volatility of key macroeconomic variables and causes significant welfare costs up to 0.58% of permanent consumption.

Suggested Citation

  • Gallic, Ewen & Vermandel, Gauthier, 2017. "Weather Shocks, Climate Change and Business Cycles," MPRA Paper 81230, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:81230
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/81230/1/MPRA_paper_81230.pdf
    File Function: original version
    Download Restriction: no

    File URL: https://mpra.ub.uni-muenchen.de/93904/1/MPRA_paper_81230.pdf
    File Function: revised version
    Download Restriction: no

    File URL: https://mpra.ub.uni-muenchen.de/93905/9/MPRA_paper_93905.pdf
    File Function: revised version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models—Rejoinder," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 211-219.
    2. Schmitt-Grohe, Stephanie & Uribe, Martin, 2003. "Closing small open economy models," Journal of International Economics, Elsevier, vol. 61(1), pages 163-185, October.
    3. Nordhaus, William D, 1991. "To Slow or Not to Slow: The Economics of the Greenhouse Effect," Economic Journal, Royal Economic Society, vol. 101(407), pages 920-937, July.
    4. Fankhauser, Samuel & S.J. Tol, Richard, 2005. "On climate change and economic growth," Resource and Energy Economics, Elsevier, vol. 27(1), pages 1-17, January.
    5. Restuccia, Diego & Yang, Dennis Tao & Zhu, Xiaodong, 2008. "Agriculture and aggregate productivity: A quantitative cross-country analysis," Journal of Monetary Economics, Elsevier, vol. 55(2), pages 234-250, March.
    6. Adolfson, Malin & Laseen, Stefan & Linde, Jesper & Villani, Mattias, 2007. "Bayesian estimation of an open economy DSGE model with incomplete pass-through," Journal of International Economics, Elsevier, vol. 72(2), pages 481-511, July.
    7. John Geweke, 1999. "Using simulation methods for bayesian econometric models: inference, development,and communication," Econometric Reviews, Taylor & Francis Journals, vol. 18(1), pages 1-73.
    8. Harrison Hong & Frank Weikai Li & Jiangmin Xu, 2016. "Climate Risks and Market Efficiency," NBER Working Papers 22890, National Bureau of Economic Research, Inc.
    9. Cushman, David O. & Zha, Tao, 1997. "Identifying monetary policy in a small open economy under flexible exchange rates," Journal of Monetary Economics, Elsevier, vol. 39(3), pages 433-448, August.
    10. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    11. 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.
    12. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
    13. Adolfson, Malin & Laséen, Stefan & Lindé, Jesper & Villani, Mattias, 2008. "Evaluating an estimated new Keynesian small open economy model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(8), pages 2690-2721, August.
    14. Dietz, Simon & Stern, Nicholas, 2015. "Endogenous growth, convexity of damage and climate risk: how Nordhaus’ framework supports deep cuts in carbon emissions," LSE Research Online Documents on Economics 58406, London School of Economics and Political Science, LSE Library.
    15. 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.
    16. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    17. Otrok, Christopher, 2001. "On measuring the welfare cost of business cycles," Journal of Monetary Economics, Elsevier, vol. 47(1), pages 61-92, February.
    18. Stéphane Auray & Aurélien Eyquem & Frédéric Jouneau-Sion, 2016. "Climatic Conditions and Productivity: An Impact Evaluation in Pre-industrial England," Annals of Economics and Statistics, GENES, issue 121-122, pages 261-277.
    19. Jasmien De Winne & Gert Peersman, 2016. "Macroeconomic Effects of Disruptions in Global Food Commodity Markets: Evidence for the United States," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(2 (Fall)), pages 183-286.
    20. Jasmien De Winne & Gert Peersman, 2016. "Macroeconomic Effects of Disruptions in Global Food Commodity Markets: Evidence for the United States," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(2 (Fall)), pages 183-286.
    21. John Geweke, 1999. "Using Simulation Methods for Bayesian Econometric Models," Computing in Economics and Finance 1999 832, Society for Computational Economics.
    22. Buckle, Robert A. & Kim, Kunhong & Kirkham, Heather & McLellan, Nathan & Sharma, Jarad, 2007. "A structural VAR business cycle model for a volatile small open economy," Economic Modelling, Elsevier, vol. 24(6), pages 990-1017, November.
    23. Collard, Fabrice & Juillard, Michel, 2001. "Accuracy of stochastic perturbation methods: The case of asset pricing models," Journal of Economic Dynamics and Control, Elsevier, vol. 25(6-7), pages 979-999, June.
    24. Robert S. Pindyck, 2017. "The Use and Misuse of Models for Climate Policy," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 11(1), pages 100-114.
    25. Chris Bloor & Troy Matheson, 2010. "Analysing shock transmission in a data-rich environment: a large BVAR for New Zealand," Empirical Economics, Springer, vol. 39(2), pages 537-558, October.
    26. Nordhaus, William D., 1993. "Rolling the 'DICE': an optimal transition path for controlling greenhouse gases," Resource and Energy Economics, Elsevier, vol. 15(1), pages 27-50, March.
    27. Philip Liu, 2006. "A Small New Keynesian Model of the New Zealand economy," Reserve Bank of New Zealand Discussion Paper Series DP2006/03, Reserve Bank of New Zealand.
    28. Simon Dietz & Nicholas Stern, 2015. "Endogenous Growth, Convexity of Damage and Climate Risk: How Nordhaus' Framework Supports Deep Cuts in Carbon Emissions," Economic Journal, Royal Economic Society, vol. 0(583), pages 574-620, March.
    29. Robert J. Barro, 2009. "Rare Disasters, Asset Prices, and Welfare Costs," American Economic Review, American Economic Association, vol. 99(1), pages 243-264, March.
    30. Robert E. Lucas Jr., 2003. "Macroeconomic Priorities," American Economic Review, American Economic Association, vol. 93(1), pages 1-14, March.
    31. Lucas, Robert E, Jr, 1978. "Asset Prices in an Exchange Economy," Econometrica, Econometric Society, vol. 46(6), pages 1429-1445, November.
    32. Mundlak, Yair, 2001. "Production and supply," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 1, pages 3-85, Elsevier.
    33. Justin Bloesch & François Gourio, 2015. "The Effect of Winter Weather on U.S. Economic Activity," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q I.
    34. Francois Gourio, 2008. "Disasters and Recoveries," American Economic Review, American Economic Association, vol. 98(2), pages 68-73, May.
    35. Rabanal, Pau, 2007. "Does inflation increase after a monetary policy tightening? Answers based on an estimated DSGE model," Journal of Economic Dynamics and Control, Elsevier, vol. 31(3), pages 906-937, March.
    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. Diagne, Youssoupha Sakrya & Thiam, Dame, 2020. "La résilience de l'économie sénégalaise : Quelles politiques publiques en réponses aux chocs exogènes? [Resillience of the senegalese economy; What policy responses to exogenous shocks?]," MPRA Paper 114018, University Library of Munich, Germany.

    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. Gallic, Ewen & Vermandel, Gauthier, 2020. "Weather shocks," European Economic Review, Elsevier, vol. 124(C).
    2. Kamber, Gunes & McDonald, Chris & Sander, Nick & Theodoridis, Konstantinos, 2016. "Modelling the business cycle of a small open economy: The Reserve Bank of New Zealand's DSGE model," Economic Modelling, Elsevier, vol. 59(C), pages 546-569.
    3. Adnan Haider Bukhari & Safdar Ullah Khan, 2008. "A Small Open Economy DSGE Model for Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(4), pages 963-1008.
    4. Drago Bergholt, 2014. "Foreign shocks in an estimated multi-sector model," Working Papers No 4/2014, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    5. Drago Bergholt, 2015. "Foreign Shocks," Working Papers No 11/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    6. Güneş Kamber & Chris McDonald & Nicholas Sander & Konstantinos Theodoridis, 2015. "A structural model for policy analysis and forecasting: NZSIM," Reserve Bank of New Zealand Discussion Paper Series DP2015/05, Reserve Bank of New Zealand.
    7. Robert Kollmann, 2013. "Global Banks, Financial Shocks, and International Business Cycles: Evidence from an Estimated Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(s2), pages 159-195, December.
    8. Jonathan Benchimol, 2015. "Money in the production function: A new Keynesian DSGE perspective," Southern Economic Journal, John Wiley & Sons, vol. 82(1), pages 152-184, July.
    9. Zams, Bastian Muzbar, 2021. "Frictions and empirical fit in a DSGE model for Indonesia," Economic Modelling, Elsevier, vol. 99(C).
    10. Eric Mayer & Johannes Gareis, 2013. "What Drives Ireland’s Housing Market? A Bayesian DSGE Approach," Open Economies Review, Springer, vol. 24(5), pages 919-961, November.
    11. Drissi, Ramzi & Ghassan, Hassan B., 2018. "Sticky Price versus Sticky Information Price: Empirical Evidence in the New Keynesian Setting," MPRA Paper 93075, University Library of Munich, Germany, revised Apr 2019.
    12. Benjamín García & Sebastián Guarda & Markus Kirchner & Rodrigo Tranamil, 2019. "XMAS: An extended model for analysis and simulations," Working Papers Central Bank of Chile 833, Central Bank of Chile.
    13. McKnight, Stephen & Mihailov, Alexander & Pompa Rangel, Antonio, 2020. "What do Latin American inflation targeters care about? A comparative Bayesian estimation of central bank preferences," Journal of Macroeconomics, Elsevier, vol. 63(C).
    14. Guerron-Quintana, Pablo A., 2013. "Common and idiosyncratic disturbances in developed small open economies," Journal of International Economics, Elsevier, vol. 90(1), pages 33-49.
    15. Özer Karagedikli & Troy Matheson & Christie Smith & Shaun P. Vahey, 2010. "RBCs AND DSGEs: THE COMPUTATIONAL APPROACH TO BUSINESS CYCLE THEORY AND EVIDENCE," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 113-136, February.
    16. Kilponen, Juha & Orjasniemi, Seppo & Ripatti, Antti & Verona, Fabio, 2016. "The Aino 2.0 model," Research Discussion Papers 16/2016, Bank of Finland.
    17. Bekiros, Stelios D. & Paccagnini, Alessia, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 298-323.
    18. Eijffinger, Sylvester C. W. & Grajales-Olarte, Anderson & Uras, Burak R., 2020. "Heterogeneity In Wage Setting Behavior In A New-Keynesian Model," Macroeconomic Dynamics, Cambridge University Press, vol. 24(6), pages 1512-1546, September.
    19. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2008. "The new area-wide model of the euro area: a micro-founded open-economy model for forecasting and policy analysis," Working Paper Series 944, European Central Bank.
    20. Villa, Stefania, 2016. "Financial Frictions In The Euro Area And The United States: A Bayesian Assessment," Macroeconomic Dynamics, Cambridge University Press, vol. 20(5), pages 1313-1340, July.

    More about this item

    Keywords

    Business Cycles; Climate Change; Weather Shocks; DSGE;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • 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:pra:mprapa:81230. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.