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Predicting recoveries and the importance of using enough information

Author

Listed:
  • Den Haan, Wouter
  • Cai, Xiaoming
Abstract
Several papers that make forecasts about the long-term impact of the current financial crisis rely on models in which there is only one type of financial crisis. These models tend to predict that the current crisis will have long lasting negative effects on economic growth. This paper points out the deficiency in this approach by analyzing the ability of "one-type-shock" models to correctly forecast the recovery from past economic downturns. It is shown that these models often overestimate the long-run impact of recessions and that slightly richer models that allow the effects of recessions to be both persistent and transitory predict recoveries much better.

Suggested Citation

  • Den Haan, Wouter & Cai, Xiaoming, 2009. "Predicting recoveries and the importance of using enough information," CEPR Discussion Papers 7508, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:7508
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    References listed on IDEAS

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    1. den Haan, Wouter J. & Ramey, Garey & Watson, Joel, 2003. "Liquidity flows and fragility of business enterprises," Journal of Monetary Economics, Elsevier, vol. 50(6), pages 1215-1241, September.
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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. António Afonso & João Tovar Jalles, 2015. "Fiscal Episodes, Technological Progress and Market Power," Working Papers Department of Economics 2015/09, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    2. Coen N. Teulings & Nikolay Zubanov, 2014. "Is Economic Recovery A Myth? Robust Estimation Of Impulse Responses," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 497-514, April.
    3. António Afonso & João Tovar Jalles, 2017. "Fiscal Episodes and Market Power," Open Economies Review, Springer, vol. 28(2), pages 233-250, April.
    4. Philipp Heimberger, 2020. "The dynamic effects of fiscal consolidation episodes on income inequality: evidence for 17 OECD countries over 1978–2013," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(1), pages 53-81, February.
    5. Laura Jaramillo & Carlos Mulas†Granados & Joao Tovar Jalles, 2017. "Debt spikes, blind spots, and financial stress," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 22(4), pages 421-437, October.
    6. António Afonso & João Tovar Jalles, 2017. "The Price Relevance of Fiscal Developments," International Economic Journal, Taylor & Francis Journals, vol. 31(1), pages 36-50, January.
    7. Davide Furceri & Aleksandra Zdzienicka-Durand, 2010. "Banking Crises and Short and Medium Term Output Losses in Developing Countries: The Role of Structural and Policy Variables," Post-Print halshs-00491089, HAL.
    8. Jalles, Joao Tovar, 2019. "Crises and emissions: New empirical evidence from a large sample," Energy Policy, Elsevier, vol. 129(C), pages 880-895.
    9. Furceri, Davide & Zdzienicka, Aleksandra, 2012. "How costly are debt crises?," Journal of International Money and Finance, Elsevier, vol. 31(4), pages 726-742.
    10. Davide Furceri & Aleksandra Zdzienicka, 2012. "The Consequences of Banking Crises for Public Debt," International Finance, Wiley Blackwell, vol. 15(3), pages 289-307, December.
    11. Bernal-Verdugo, Lorenzo E. & Furceri, Davide & Guillaume, Dominique, 2013. "Banking crises, labor reforms, and unemployment," Journal of Comparative Economics, Elsevier, vol. 41(4), pages 1202-1219.
    12. Afonso, António & Jalles, João Tovar, 2019. "The Fiscal consequences of deflation: Evidence from the Golden Age of Globalization," The Quarterly Review of Economics and Finance, Elsevier, vol. 74(C), pages 129-147.
    13. Furceri, Davide & Zdzienicka, Aleksandra, 2012. "Banking Crises and Short and Medium Term Output Losses in Emerging and Developing Countries: The Role of Structural and Policy Variables," World Development, Elsevier, vol. 40(12), pages 2369-2378.
    14. Philipp Heimberger, 2018. "The Dynamic Effects of Fiscal Consolidation Episodes on Income Inequality," wiiw Working Papers 147, The Vienna Institute for International Economic Studies, wiiw.
    15. Martina Aronica & Pietro Pizzuto & Caterina Sciortino, 2022. "COVID‐19 and tourism: What can we learn from the past?," The World Economy, Wiley Blackwell, vol. 45(2), pages 430-444, February.
    16. Ant�nio Afonso & Jalles, 2016. "Markups' cyclical behaviour: the role of demand and supply shocks," Applied Economics Letters, Taylor & Francis Journals, vol. 23(1), pages 1-5, January.
    17. Sanjeev Gupta & João T Jalles & Carlos Mulas-Granados & Michela Schena, 2018. "Planned fiscal adjustments: Do governments fulfil their commitments?," European Union Politics, , vol. 19(3), pages 383-407, September.
    18. Romain Duval & Mehmet Eris & Davide Furceri, 2011. "The Effects of Downturns on Labour Force Participation: Evidence and Causes," OECD Economics Department Working Papers 875, OECD Publishing.
    19. Teimouri, Sheida & Zietz, Joachim, 2020. "Coping with deindustrialization: A panel study for early OECD countries," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 26-41.

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    More about this item

    Keywords

    Financial crisis; Forecasting; Great recession; Unit root;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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