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Using extraneous information to analyze monetary policy in transition economies

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  • Gavin, William T.
  • Kemme, David M.

Abstract

Empirical macroeconomics is plagued by small sample size and large idiosyncratic variation. This problem is especially severe in the case of the transition economies. We utilize a mixed-estimation method incorporating prior information from OECD country data to estimate the parameters of a reduced-form transition economy model. An exactly identified structural VAR model is constructed to analyze monetary policy in the transition economies. The OECD information increases the precision of the impulse response functions in the transition economies. The method provides a systematic way to analyze monetary policy in the transition economies where data availability is limited.

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  • Gavin, William T. & Kemme, David M., 2009. "Using extraneous information to analyze monetary policy in transition economies," Journal of International Money and Finance, Elsevier, vol. 28(5), pages 868-879, September.
    • Handle: RePEc:eee:jimfin:v:28:y:2009:i:5:p:868-879
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    2. Magdalena Borys & Roman Horváth & Michal Franta, 2009. "The effects of monetary policy in the Czech Republic: an empirical study," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 36(4), pages 419-443, November.
    3. Yong Liu & Alan P. Ker, 2021. "Simultaneous borrowing of information across space and time for pricing insurance contracts: An application to rating crop insurance policies," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(1), pages 231-257, March.
    4. Marek Jarocinski, 2010. "Responses to monetary policy shocks in the east and the west of Europe: a comparison," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 833-868.
    5. Zlatina Balabanova & Ralf Brüggemann, 2012. "External Information and Monetary Policy Transmission in New EU Member States: Results from FAVAR Models," Working Paper Series of the Department of Economics, University of Konstanz 2012-05, Department of Economics, University of Konstanz.
    6. Alfred A.Haug & Tomasz Jędrzejowicz & Anna Sznajderska, 2013. "Combining monetary and fiscal policy in an SVAR for a small open economy," NBP Working Papers 168, Narodowy Bank Polski.
    7. Zina CIORAN, 2015. "Var Analysis Of The Transmission Mechanism Of Monetary Policy In Romania," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 7, pages 153-164, April.
    8. Jimborean, Ramona, 2009. "The role of banks in the monetary policy transmission in the new EU member states," Economic Systems, Elsevier, vol. 33(4), pages 360-375, December.
    9. Luis Carranza & Jose E. Galdon‐Sanchez & Javier Gomez‐Biscarri, 2010. "Understanding the Relationship between Financial Development and Monetary Policy," Review of International Economics, Wiley Blackwell, vol. 18(5), pages 849-864, November.
    10. Soyoung Kim & Doo Yang, 2011. "The Impact of Capital Inflows on Asset Prices in Emerging Asian Economies: Is Too Much Money Chasing Too Little Good?," Open Economies Review, Springer, vol. 22(2), pages 293-315, April.
    11. Vasile Cocris & Anca Elena Nucu, 2013. "Monetary policy and financial stability: empirical evidence from Central and Eastern European countries," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 13(1), pages 75-98, July.
    12. Thi Mai Lan Nguyen, 2020. "Output Effects of Monetary Policy in Emerging and Developing Countries: Evidence from a Meta-Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(1), pages 68-85, January.

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