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Can interest rate spreads stabilize the euro area?

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Abstract

Since the creation of the euro area significant interest rate spreads have arisen between euro area countries, both for public and private debt. We check whether these spreads could be made to work towards the goal of providing more stability to the euro area. In particular we focus on reducing the imbalances that arose between the core and peripheral members of the euro area in the first decade of its existence. The idea is that stable positive spreads in peripheral countries could have decreased domestic demand, preventing the boom-bust cycles that plagued these economies. They could also prevent such developments in the future. We find that spreads on real interest rates of 0.6 to 5.5 percentage points would have been necessary to stabilize external positions of the four peripheral euro area member countries.

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  • Michał Brzoza-Brzezina & Jacek Kotłowski & Kamil Wierus, 2014. "Can interest rate spreads stabilize the euro area?," NBP Working Papers 183, Narodowy Bank Polski, Economic Research Department.
    • Handle: RePEc:nbp:nbpmis:183
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    1. Zuzana Brixiova & Laura Vartia & Andreas Wörgötter, 2009. "Capital Inflows, Household Debt and the Boom-bust Cycle in Estonia," OECD Economics Department Working Papers 700, OECD Publishing.
    2. Michał Brzoza-Brzezina & Pascal Jacquinot & Marcin Kolasa, 2014. "Can We Prevent Boom-Bust Cycles During Euro Area Accession?," Open Economies Review, Springer, vol. 25(1), pages 35-69, February.
    3. Bun, Maurice J. G. & Kiviet, Jan F., 2003. "On the diminishing returns of higher-order terms in asymptotic expansions of bias," Economics Letters, Elsevier, vol. 79(2), pages 145-152, May.
    4. Bun, Maurice J.G. & Kiviet, Jan F., 2006. "The effects of dynamic feedbacks on LS and MM estimator accuracy in panel data models," Journal of Econometrics, Elsevier, vol. 132(2), pages 409-444, June.
    5. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    6. Ca’ Zorzi, Michele & Chudik, Alexander & Dieppe, Alistair, 2012. "Thousands of models, one story: Current account imbalances in the global economy," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1319-1338.
    7. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    8. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    9. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    10. Patrick Honohan & Anthony J. Leddin, 2006. "Ireland in EMU - More Shocks, Less Insulation?," The Economic and Social Review, Economic and Social Studies, vol. 37(2), pages 263-294.
    11. William Ellery Channing, 1994. "Change," American Journal of Economics and Sociology, Wiley Blackwell, vol. 53(1), pages 15-15, January.
    12. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    13. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
    14. Giovanni S. F. Bruno, 2005. "Estimation and inference in dynamic unbalanced panel-data models with a small number of individuals," Stata Journal, StataCorp LP, vol. 5(4), pages 473-500, December.
    15. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    16. John Williamson, 1994. "Estimating Equilibrium Exchange Rates," Peterson Institute Press: All Books, Peterson Institute for International Economics, number 17, July.
    17. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1.
    18. Olivier Blanchard, 2007. "Adjustment within the euro. The difficult case of Portugal," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 6(1), pages 1-21, April.
    19. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
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    More about this item

    Keywords

    Euro area; imbalances; current account; panel estimation;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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