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Is Economic Recovery a Myth? Robust Estimation of Impulse Responses

Listed author(s):
  • Coen N. Teulings

    (CPB, The Hague, and University of Amsterdam)

  • Nick Zubanov

    (CPB, The Hague)

See the publication in the 'Journal of Applied Econometrics' (2014). We estimate the impulse response function (IRF) of GDP toa banking crisis, applying an extension of the local projectionsmethod developed in Jorda (2005). This method is shown to bemore robust to misspecification than calculating IRFs analytically. However, it suffers from a hitherto unnoticed systematicbias which increases with the forecast horizon. We propose asimple correction to this bias, which our Monte Carlo simulations show works well. Applying our corrected local projectionsestimator to a panel of 99 countries observed between 1974-2001,we find that an average banking crisis yields a long-term GDP lossof around 10 percent with little sign of recovery within 10 years.GDP losses to banking crises are even more severe in Africancountries. Like the original Jorda's (2005) method, our extensionof it is quite widely applicable.

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Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 10-040/3.

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Date of creation: 13 Apr 2010
Date of revision: 07 Jul 2011
Handle: RePEc:tin:wpaper:20100040
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  1. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
  2. Jon Faust & Jonathan H. Wright, 2008. "Efficient Prediction of Excess Returns," NBER Working Papers 14169, National Bureau of Economic Research, Inc.
  3. John Y. Campbell & N. Gregory Mankiw, 1986. "Are Output Fluctuations Transitory?," NBER Working Papers 1916, National Bureau of Economic Research, Inc.
  4. Valerie Cerra & Sweta Chaman Saxena, 2008. "Growth Dynamics: The Myth of Economic Recovery," American Economic Review, American Economic Association, vol. 98(1), pages 439-457, March.
  5. Yanping Chong & Òscar Jordà & Alan M. Taylor, 2010. "The Harrod-Balassa-Samuelson Hypothesis: Real Exchange Rates and their Long-Run Equilibrium," NBER Working Papers 15868, National Bureau of Economic Research, Inc.
  6. Javier Alvarez & Manuel Arellano, 2003. "The Time Series and Cross-Section Asymptotics of Dynamic Panel Data Estimators," Econometrica, Econometric Society, vol. 71(4), pages 1121-1159, 07.
  7. Cai, Xiaoming & Den Haan, Wouter, 2009. "Predicting recoveries and the importance of using enough information," CEPR Discussion Papers 7508, C.E.P.R. Discussion Papers.
  8. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
  9. Jon Faust & Jonathan H. Wright, 2011. "Efficient Prediction of Excess Returns," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 647-659, May.
  10. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
  11. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
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