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Modeling Monetary Policy Transmission in Acceding Countries: Vector Autoregression Versus Structural Vector Autoregression

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  • Adam Elbourne
  • Jakob de Haan

Abstract

Using the vector autoregressive methodology, we present estimates of monetary transmission for five new EU member countries in Central and Eastern Europe with more or less flexible exchange rates. We select sample periods to estimate over the longest possible period that can be considered as a single monetary policy regime. To identify the vector autoregression (VAR), structural restrictions and the widely used Cholesky ordering are employed. We conclude that the structural VAR yields much better results. Fewer countries suffer from a price puzzle (i.e., an increase in prices following a monetary contraction). Our results also indicate that there are substantial differences in monetary transmission across the countries in our sample.

Suggested Citation

  • Adam Elbourne & Jakob de Haan, 2009. "Modeling Monetary Policy Transmission in Acceding Countries: Vector Autoregression Versus Structural Vector Autoregression," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 45(2), pages 4-20, March.
  • Handle: RePEc:mes:emfitr:v:45:y:2009:i:2:p:4-20
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Julius Stakenas & Rasa Stasiukynaite, 2016. "Monetary policy transmission: the case of Lithuania," Bank of Lithuania Working Paper Series 24, Bank of Lithuania.
    2. Alfred A. Haug & Tomasz Jedrzejowicz & Anna Sznajderska, 2013. "Combining Monetary and Fiscal Policy in an SVAR for a Small Open Economy," Working Papers 1313, University of Otago, Department of Economics, revised Oct 2013.
    3. Tomas Havranek & Marek Rusnak, 2013. "Transmission Lags of Monetary Policy: A Meta-Analysis," International Journal of Central Banking, International Journal of Central Banking, vol. 9(4), pages 39-76, December.
    4. Oxana Babecka Kucharcukova & Michal Franta & Dana Hajkova & Petr Kral & Ivana Kubicova & Anca Podpiera & Branislav Saxa, 2013. "What We Know About Monetary Policy Transmission in the Czech Republic: Collection of Empirical Results," Research and Policy Notes 2013/01, Czech National Bank, Research Department.
    5. Mishra, Prachi & Montiel, Peter, 2013. "How effective is monetary transmission in low-income countries? A survey of the empirical evidence," Economic Systems, Elsevier, vol. 37(2), pages 187-216.
    6. Mishra, Prachi & Montiel, Peter J & Spilimbergo, Antonio, 2011. "How Effective Is Monetary Transmission in Developing Countries? A Survey of the Empirical Evidence," CEPR Discussion Papers 8577, C.E.P.R. Discussion Papers.
    7. Christian Dreger & Jarko Fidrmuc, 2011. "Drivers of Exchange Rate Dynamics in Selected CIS Countries: Evidence from a Factor-Augmented Vector Autoregressive (FAVAR) Analysis," Emerging Markets Finance and Trade, M.E. Sharpe, Inc., vol. 47(4), pages 49-58, July.
    8. Martin Melecky & Anca Maria Podpiera, 2012. "Macroprudential Stress-Testing Practices of Central Banks in Central and Southeastern Europe: Comparison and Challenges Ahead," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(4), pages 118-134, July.
    9. Talavera, Oleksandr & Tsapin, Andriy & Zholud, Oleksandr, 2012. "Macroeconomic uncertainty and bank lending: The case of Ukraine," Economic Systems, Elsevier, vol. 36(2), pages 279-293.
    10. Halberstadt, Arne & Krippner, Leo, 2016. "The effect of conventional and unconventional euro area monetary policy on macroeconomic variables," Discussion Papers 49/2016, Deutsche Bundesbank.
    11. Roseline Nyakerario Misati & Esman Morekwa Nyamongo & Lucas Kamau Njoroge & Sheila Kaminchia, 2012. "Feasibility of inflation targeting in an emerging market: evidence from Kenya," Journal of Financial Economic Policy, Emerald Group Publishing, vol. 4(2), pages 146-159, May.
    12. Martin Melecky & Anca Maria Podpiera, 2012. "Macroprudential Stress-Testing Practices of Central Banks in Central and Southeastern Europe: Comparison and Challenges Ahead," Emerging Markets Finance and Trade, M.E. Sharpe, Inc., vol. 48(4), pages 118-134, July.

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