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The Pass-Through of Exchange Rate in the Context of the European Sovereign Debt Crisis

Listed author(s):
  • Nidhaleddine Ben Cheikh

This paper investigates whether the exchange rate pass-through (ERPT) to CPI inflation is a nonlinear phenomenon for five heavily indebted euro area (EA) countries, namely the so-called GIIPS group (Greece, Ireland, Italy, Portugal, and Spain). Using logistic smooth transition models, we explore the existence of nonlinearity with respect to sovereign bond yield spreads (versus German) as an indicator of confidence crisis/macroeconomic instability. Our results provide strong evidence that the extent of ERPT is higher in periods of macroeconomic distress, i.e. when sovereign bond yield spreads exceed some threshold. For all the GIIPS countries, we reveal that the increasing of macroeconomic instability and the loss of confidence during the recent sovereign debt crisis has entailed a higher sensibility of CPI inflation to exchange rate movements.

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Paper provided by FIW in its series FIW Working Paper series with number 123.

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Length: 25
Date of creation: Jun 2013
Handle: RePEc:wsr:wpaper:y:2013:i:123
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Order Information: Postal: FIW Project Office Austrian Institute of Economic Research Arsenal Objekt 20 A-1030 Vienna
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  1. Nidhaleddine Ben cheikh, 2012. "Long-run exchange rate pass-through: evidence from new panel data techniques," Economics Bulletin, AccessEcon, vol. 32(3), pages 1-24.
  2. Jeannine Bailliu & Eiji Fujii, 2004. "Exchange Rate Pass-Through and the Inflation Environment in Industrialized Countries: An Empirical Investigation," Staff Working Papers 04-21, Bank of Canada.
  3. Correa, Arnildo da Silva & Minella, André, 2010. "Nonlinear Mechanisms of the Exchange Rate Pass-Through: A Phillips Curve Model with Threshold for Brazil," Revista Brasileira de Economia, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil), vol. 64(3), June.
  4. Graciela Kaminsky & Saul Lizondo & Carmen M. Reinhart, 1998. "Leading Indicators of Currency Crises," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 1-48, March.
  5. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
  6. Pinelopi Koujianou Goldberg & Michael M. Knetter, 1997. "Goods Prices and Exchange Rates: What Have We Learned?," Journal of Economic Literature, American Economic Association, vol. 35(3), pages 1243-1272, September.
  7. Michael B. Devereux & Charles Engel & CÈdric Tille, 2003. "Exchange Rate Pass-Through and the Welfare Effects of the Euro," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(1), pages 223-242, February.
  8. José Manuel Campa & Linda S. Goldberg, 2005. "Exchange Rate Pass-Through into Import Prices," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 679-690, November.
  9. Taylor, John B., 2000. "Low inflation, pass-through, and the pricing power of firms," European Economic Review, Elsevier, vol. 44(7), pages 1389-1408, June.
  10. Eitrheim, Oyvind & Terasvirta, Timo, 1996. "Testing the adequacy of smooth transition autoregressive models," Journal of Econometrics, Elsevier, vol. 74(1), pages 59-75, September.
  11. Josep Carrion-i-Silvestre & Andreu Sansó, 2006. "A guide to the computation of stationarity tests," Empirical Economics, Springer, vol. 31(2), pages 433-448, June.
  12. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
  13. Shintani, Mototsugu & Terada-Hagiwara, Akiko & Yabu, Tomoyoshi, 2013. "Exchange rate pass-through and inflation: A nonlinear time series analysis," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 512-527.
  14. Matthieu Bussiere, 2013. "Exchange Rate Pass-through to Trade Prices: The Role of Nonlinearities and Asymmetries," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(5), pages 731-758, October.
  15. Ben Cheikh, Nidhaleddine, 2012. "Asymmetric exchange rate pass-through in the Euro area: New evidence from smooth transition models," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 6, pages 1-28.
  16. Reginaldo P. Nogueira, Jr. & Miguel A. León-Ledesma, 2011. "Does exchange rate pass-through respond to measures of macroeconomic instability?," Journal of Applied Economics, Universidad del CEMA, vol. 14, pages 167-180, May.
  17. Choudhri, Ehsan U. & Hakura, Dalia S., 2006. "Exchange rate pass-through to domestic prices: Does the inflationary environment matter?," Journal of International Money and Finance, Elsevier, vol. 25(4), pages 614-639, June.
  18. Omri, Anis & Kahouli, Bassem, 2014. "Causal relationships between energy consumption, foreign direct investment and economic growth: Fresh evidence from dynamic simultaneous-equations models," Energy Policy, Elsevier, vol. 67(C), pages 913-922.
  19. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
  20. Nidhaleddine Ben Cheikh, 2012. "Non-linearities in exchange rate pass-through: Evidence from smooth transition models," Economics Bulletin, AccessEcon, vol. 32(3), pages 2530-2545.
  21. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
  22. Nidhaleddine Ben Cheikh & Waël Louhichi, 2014. "Revisiting the Role of Inflation Environment in the Exchange Rate Pass-Through: A Panel Threshold Approach," FIW Working Paper series 132, FIW.
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