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Identifying the Shocks behind Business Cycle Asynchrony in Euroland

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  • Trenkler, Carsten

    ()

  • Weber, Enzo

    ()

Abstract

This paper investigates which shocks drive asynchrony of business cycles in the euro area. Thereby, it unites two strands of literature, those on common features and on structural VAR analysis. In particular, we show that the presence of a common cycle implies collinearity of structural impulse responses. Several Wald tests are applied to the latter hypothesis. Results reveal that differences in the GDP dynamics in several peripheral countries compared to a euro zone core are triggered by idiosyncratic, and to a lesser extent also world, shocks. Additionally, real shocks prove relevant rather than nominal ones.

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File URL: http://epub.uni-regensburg.de/24774/1/Euroland.pdf
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Bibliographic Info

Paper provided by University of Regensburg, Department of Economics in its series University of Regensburg Working Papers in Business, Economics and Management Information Systems with number 466.

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Date of creation: 13 Jun 2012
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Handle: RePEc:bay:rdwiwi:24774

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Keywords: Common cycles; euro area; impulse responses; structural VAR; Wald test;

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  1. Vahid, F & Engle, Robert F, 1993. "Common Trends and Common Cycles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(4), pages 341-60, Oct.-Dec..
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  3. Nikos Christodoulakis, 2009. "Ten Years Of Emu: Convergence, Divergence And New Policy Priorities," National Institute Economic Review, National Institute of Economic and Social Research, vol. 208(1), pages 86-100, April.
  4. Dellas, Harris & Tavlas, George, 2010. "An Optimum Currency Area Odyssey," CEPR Discussion Papers 7645, C.E.P.R. Discussion Papers.
  5. Trenkler, Carsten & Weber, Enzo, 2010. "Testing for Codependence of Non-Stationary Variables," University of Regensburg Working Papers in Business, Economics and Management Information Systems 446, University of Regensburg, Department of Economics.
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  7. Paruolo Paolo, 2003. "Common dynamics in I(1) VAR systems," Economics and Quantitative Methods qf0316, Department of Economics, University of Insubria.
  8. Christoph Schleicher, 2007. "Codependence in cointegrated autoregressive models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 137-159.
  9. Carsten Trenkler & Enzo Weber, 2013. "Codependent VAR models and the pseudo-structural form," AStA Advances in Statistical Analysis, Springer, vol. 97(3), pages 287-295, July.
  10. Poskitt, D. S., 2003. "On the specification of cointegrated autoregressive moving-average forecasting systems," International Journal of Forecasting, Elsevier, vol. 19(3), pages 503-519.
  11. Lütkepohl, Helmut & POSKITT, D.S., 1996. "Testing for Causation Using Infinite Order Vector Autoregressive Processes," Econometric Theory, Cambridge University Press, vol. 12(01), pages 61-87, March.
  12. Horowitz, Joel L., 2001. "The Bootstrap," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 52, pages 3159-3228 Elsevier.
  13. Olivier Jean Blanchard & Danny Quah, 1988. "The Dynamic Effects of Aggregate Demand and Supply Disturbance," Working papers 497, Massachusetts Institute of Technology (MIT), Department of Economics.
  14. Engle, Robert F & Kozicki, Sharon, 1993. "Testing for Common Features: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(4), pages 393-95, October.
  15. Lutz Kilian & Yun Jung Kim, 2011. "How Reliable Are Local Projection Estimators of Impulse Responses?," The Review of Economics and Statistics, MIT Press, vol. 93(4), pages 1460-1466, November.
  16. Kim, Yoonbai & Chow, Hwee Kwan, 2003. "Optimum currency area in Europe: an alternative assessment," Economics Letters, Elsevier, vol. 81(3), pages 297-304, December.
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