IDEAS home Printed from https://ideas.repec.org/a/gam/jecnmx/v8y2020i3p33-d400531.html
   My bibliography  Save this article

Climate Disaster Risks—Empirics and a Multi-Phase Dynamic Model

Author

Listed:
  • Stefan Mittnik

    (Department of Institut für Statistik, Ludwig Maximilians University of Munich, 80333 Munich, Germany)

  • Willi Semmler

    (New School for Social Research, New York, NY 10011, USA
    Senior Research Associate, IIASA, Schlossplatz 1, A-2361 Laxenburg, Austria)

  • Alexander Haider

    (New School for Social Research, New York, NY 10011, USA)

Abstract

Recent research in financial economics has shown that rare large disasters have the potential to disrupt financial sectors via the destruction of capital stocks and jumps in risk premia. These disruptions often entail negative feedback effects on the macroeconomy. Research on disaster risks has also actively been pursued in the macroeconomic models of climate change. Our paper uses insights from the former work to study disaster risks in the macroeconomics of climate change and to spell out policy needs. Empirically, the link between carbon dioxide emission and the frequency of climate related disaster is investigated using a panel data approach. The modeling part then uses a multi-phase dynamic macro model to explore the effects of rare large disasters resulting in capital losses and rising risk premia. Our proposed multi-phase dynamic model, incorporating climate-related disaster shocks and their aftermath as a distressed phase, is suitable for studying mitigation and adaptation policies as well as recovery policies.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jecnmx:v:8:y:2020:i:3:p:33-:d:400531
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2225-1146/8/3/33/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2225-1146/8/3/33/
    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. Matteo Coronese & Francesco Lamperti & Francesca Chiaromonte & Andrea Roventini, 2018. "Natural Disaster Risk and the Distributional Dynamics of Damages," LEM Papers Series 2018/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    4. Fratzscher, Marcel & Grosse-Steffen, Christoph & Rieth, Malte, 2020. "Inflation targeting as a shock absorber," Journal of International Economics, Elsevier, vol. 123(C).
    5. Jesús Crespo Cuaresma & Tapio Palokangas & Alexander Tarasyev (ed.), 2010. "Dynamic Systems, Economic Growth, and the Environment," Dynamic Modeling and Econometrics in Economics and Finance, Springer, number 978-3-642-02132-9, July-Dece.
    6. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    7. Batten, Sandra, 2018. "Climate change and the macro-economy: a critical review," Bank of England working papers 706, Bank of England.
    8. Martin L. Weitzman, 2011. "Additive Damages, Fat-Tailed Climate Dynamics, and Uncertain Discounting," NBER Chapters, in: The Economics of Climate Change: Adaptations Past and Present, pages 23-46, National Bureau of Economic Research, Inc.
    9. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    10. Pindyck, Robert S, 1978. "The Optimal Exploration and Production of Nonrenewable Resources," Journal of Political Economy, University of Chicago Press, vol. 86(5), pages 841-861, October.
    11. Michael Flaherty & Arkady Gevorkyan & Siavash Radpour & Willi Semmler, 2016. "Financing Climate Policies Through Climate Bonds," SCEPA working paper series. 2016-03, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    12. Stefano Battiston & Antoine Mandel & Irene Monasterolo & Franziska Schütze & Gabriele Visentin, 2017. "A climate stress-test of the financial system," Nature Climate Change, Nature, vol. 7(4), pages 283-288, April.
    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. Cantelmo, Alessandro & Melina, Giovanni & Papageorgiou, Chris, 2023. "Macroeconomic outcomes in disaster-prone countries," Journal of Development Economics, Elsevier, vol. 161(C).
    15. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    16. Willi Semmler & Helmut Maurer & Anthony Bonen, 2018. "An Extended Integrated Assessment Model for Mitigation and Adaptation Policies on Climate Change," Lecture Notes in Economics and Mathematical Systems, in: Gustav Feichtinger & Raimund M. Kovacevic & Gernot Tragler (ed.), Control Systems and Mathematical Methods in Economics, pages 297-317, Springer.
    17. Xavier Gabaix, 2011. "Disasterization: A Simple Way to Fix the Asset Pricing Properties of Macroeconomic Models," American Economic Review, American Economic Association, vol. 101(3), pages 406-409, May.
    18. Jesús Fernández‐Villaverde & Oren Levintal, 2018. "Solution methods for models with rare disasters," Quantitative Economics, Econometric Society, vol. 9(2), pages 903-944, July.
    19. Gallic, Ewen & Vermandel, Gauthier, 2020. "Weather shocks," European Economic Review, Elsevier, vol. 124(C).
    20. Harold Hotelling, 1931. "The Economics of Exhaustible Resources," Journal of Political Economy, University of Chicago Press, vol. 39, pages 137-137.
    21. 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.
    22. Francois Gourio, 2012. "Disaster Risk and Business Cycles," American Economic Review, American Economic Association, vol. 102(6), pages 2734-2766, October.
    23. Vinod Thomas & Ramón López, 2015. "Global Increase in Climate-Related Disasters," Working Papers id:7796, eSocialSciences.
    24. Catalano, Michele & Forni, Lorenzo & Pezzolla, Emilia, 2020. "Climate-change adaptation: The role of fiscal policy," Resource and Energy Economics, Elsevier, vol. 59(C).
    25. Marto, Ricardo & Papageorgiou, Chris & Klyuev, Vladimir, 2018. "Building resilience to natural disasters: An application to small developing states," Journal of Development Economics, Elsevier, vol. 135(C), pages 574-586.
    26. Semmler, Willi & Ofori, Marvin, 2007. "On poverty traps, thresholds and take-offs," Structural Change and Economic Dynamics, Elsevier, vol. 18(1), pages 1-26, March.
    27. Warwick McKibbin & Adele Morris & Augustus J. Panton & Peter J. Wilcoxen, 2017. "Climate change and monetary policy: Dealing with disruption," CAMA Working Papers 2017-77, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    28. Semmler, Willi, 2015. "The Oxford Handbook of the Macroeconomics of Global Warming," OUP Catalogue, Oxford University Press, number 9780199856978 edited by Bernard, Lucas.
    29. 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.
    30. Ingham, Alan & Ma, Jie & Ulph, Alistair, 2007. "Climate change, mitigation and adaptation with uncertainty and learning," Energy Policy, Elsevier, vol. 35(11), pages 5354-5369, November.
    31. Cohen, Gail & Jalles, Joao Tovar & Loungani, Prakash & Marto, Ricardo, 2018. "The long-run decoupling of emissions and output: Evidence from the largest emitters," Energy Policy, Elsevier, vol. 118(C), pages 58-68.
    32. Rietz, Thomas A., 1988. "The equity risk premium a solution," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 117-131, July.
    33. Philippe Aghion & Steven Durlauf (ed.), 2005. "Handbook of Economic Growth," Handbook of Economic Growth, Elsevier, edition 1, volume 1, number 1.
    34. Mr. Christopher S Adam & Mr. David Bevan, 2014. "Public Investment, Public Finance, and Growth: The Impact of Distortionary Taxation, Recurrent Costs, and Incomplete Appropriability," IMF Working Papers 2014/073, International Monetary Fund.
    35. Arellano, M, 1987. "Computing Robust Standard Errors for Within-Groups Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 49(4), pages 431-434, November.
    36. Anthony Bonen & Mr. Prakash Loungani & Willi Semmler & Sebastian Koch, 2016. "Investing to Mitigate and Adapt to Climate Change: A Framework Model," IMF Working Papers 2016/164, International Monetary Fund.
    37. Thomas, Vinod & Albert, Jose Ramon G. & Perez, Rosa T., 2013. "Climate-Related Disasters in Asia and the Pacific," ADB Economics Working Paper Series 358, Asian Development Bank.
    38. Bevan,David L. & Adam,Christopher, 2016. "Financing the reconstruction of public capital after a natural disaster," Policy Research Working Paper Series 7718, The World Bank.
    39. Robert J. Barro & Jose F. Ursua, 2008. "Macroeconomic Crises since 1870," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 39(1 (Spring), pages 255-350.
    40. Flaherty, Michael & Gevorkyan, Arkady & Radpour, Siavash & Semmler, Willi, 2017. "Financing climate policies through climate bonds – A three stage model and empirics," Research in International Business and Finance, Elsevier, vol. 42(C), pages 468-479.
    41. Raimund M. Kovacevic & Georg Ch. Pflug, 2011. "Does Insurance Help to Escape the Poverty Trap?—A Ruin Theoretic Approach," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 78(4), pages 1003-1028, December.
    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. Ar'anzazu de Juan & Pilar Poncela & Vladimir Rodr'iguez-Caballero & Esther Ruiz, 2022. "Economic activity and climate change," Papers 2206.03187, arXiv.org, revised Jun 2022.
    2. Andreas Breitenfellner & Wolfgang Pointner & Helene Schuberth, 2019. "The Potential Contribution of Central Banks to Green Finance," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 88(2), pages 55-71.

    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. Alessandro Cantelmo, 2022. "Rare Disasters, the Natural Interest Rate and Monetary Policy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 473-496, June.
    2. Cantelmo, Alessandro & Melina, Giovanni & Papageorgiou, Chris, 2023. "Macroeconomic outcomes in disaster-prone countries," Journal of Development Economics, Elsevier, vol. 161(C).
    3. Gregory, Richard P., 2021. "Climate disasters, carbon dioxide, and financial fundamentals," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 45-58.
    4. Joaquín Bernal-Ramírez & Jair Ojeda-Joya & Camila Agudelo-Rivera & Felipe Clavijo-Ramírez & Carolina Durana-Ángel & Clark Granger-Castaño & Daniel Osorio-Rodríguez & Daniel Parra-Amado & José Pulido &, 2022. "Impacto macroeconómico del cambio climático en Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, issue 102, pages 1-62, July.
    5. Isoré, Marlène & Szczerbowicz, Urszula, 2017. "Disaster risk and preference shifts in a New Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 79(C), pages 97-125.
    6. Dahiru Alhaji-Bala Birnintsaba & Hüseyin Ozdeser & Andisheh Saliminezhad, 2021. "Impact Analysis on the Effective Synergy Between Climate Change, Ecological Degradation and Energy Consumption on Economic Growth in Nigeria," SAGE Open, , vol. 11(4), pages 21582440211, December.
    7. Jesus Fernandez-Villaverde & Pablo Guerron-Quintana, 2020. "Uncertainty Shocks and Business Cycle Research," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 118-166, August.
    8. Iseringhausen, Martin & Petrella, Ivan & Theodoridis, Konstantinos, 2021. "Aggregate Skewness and the Business Cycle," Cardiff Economics Working Papers E2021/30, Cardiff University, Cardiff Business School, Economics Section.
    9. Levintal, Oren, 2017. "Fifth-order perturbation solution to DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 80(C), pages 1-16.
    10. 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.
    11. Karydas, Christos & Xepapadeas, Anastasios, 2022. "Climate change financial risks: Implications for asset pricing and interest rates," Journal of Financial Stability, Elsevier, vol. 63(C).
    12. Jerry Tsai & Jessica A. Wachter, 2015. "Disaster Risk and its Implications for Asset Pricing," NBER Working Papers 20926, National Bureau of Economic Research, Inc.
    13. João F. Gomes & Marco Grotteria & Jessica Wachter, 2018. "Foreseen Risks," NBER Working Papers 25277, National Bureau of Economic Research, Inc.
    14. Lorenzo Pozzi & Barbara Sadaba, 2023. "Macroeconomic Disasters and Consumption Smoothing: International Evidence from Historical Data," Staff Working Papers 23-4, Bank of Canada.
    15. Gomes, João F. & Grotteria, Marco & Wachter, Jessica A., 2023. "Foreseen risks," Journal of Economic Theory, Elsevier, vol. 212(C).
    16. Signe Krogstrup & William Oman, 2019. "Macroeconomic and Financial Policies for Climate Change Mitigation: A Review of the Literature," IMF Working Papers 2019/185, International Monetary Fund.
    17. Huang, Darien & Kilic, Mete, 2019. "Gold, platinum, and expected stock returns," Journal of Financial Economics, Elsevier, vol. 132(3), pages 50-75.
    18. Jessica Wachter & Mete Kilic, 2017. "Risk, Unemployment, and the Stock Market: A Rare-Event-Based Explanation of Labor Market Volatility," 2017 Meeting Papers 129, Society for Economic Dynamics.
    19. William Ginn, 2022. "Climate Disasters and the Macroeconomy: Does State-Dependence Matter? Evidence for the US," Economics of Disasters and Climate Change, Springer, vol. 6(1), pages 141-161, March.
    20. Bai, Hang, 2021. "Unemployment and credit risk," Journal of Financial Economics, Elsevier, vol. 142(1), pages 127-145.

    More about this item

    Keywords

    climate economics; disaster risk; macro feedback; multi-phase macro model; monetary and financial policies; environmental economics;
    All these keywords.

    JEL classification:

    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies
    • C - Mathematical and Quantitative Methods
    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

    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:gam:jecnmx:v:8:y:2020:i:3:p:33-:d:400531. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.