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Do The Countries’ Monetary Policies Have Spatial Impact?

Author

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  • Arikan, Cengiz
  • Yalcin, Yeliz

Abstract

Nowadays, not land border but economic cooperation and borders determine the neighborhood and closeness by globalization. No doubt, any economic event happens in any country affects other partners more and less according to economic relationship in globalization process. The desire of measuring of this interaction make occur spatial econometrics. Initially, in spatial models take into account land borders. Subsequently, studies about spatial econometric models allow economic interactions and relationships. After the global economic crises in 2008 Central Banks have started to vary monetary policy tool to ensure economic and financial stability. It is estimated that which tool will be implemented by following the policies of the central banks in which they are closely related. The spatial effect of monetary policy can be not only geographical but also economic or social. Different spatial models have set up to examine whether any spatial effect on monetary policy. Unlike other studies in this study not only geographic weight matrix but also economic weight matrix have been used in the spatial models. Different weight matrix models results have been compared and construed. Our preliminary findings reveal that there is a spatial effect on monetary policy between OECD, EU and G-20 countries. And also, economic weight matrix effect is more than geographic weight matrix.

Suggested Citation

  • Arikan, Cengiz & Yalcin, Yeliz, 2017. "Do The Countries’ Monetary Policies Have Spatial Impact?," MPRA Paper 83407, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:83407
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    File URL: https://mpra.ub.uni-muenchen.de/83407/1/MPRA_paper_83380.pdf
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    References listed on IDEAS

    as
    1. Alan S. Blinder & Michael Ehrmann & Marcel Fratzscher & Jakob De Haan & David-Jan Jansen, 2008. "Central Bank Communication and Monetary Policy: A Survey of Theory and Evidence," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 910-945, December.
    2. Luisa Corrado & Bernard Fingleton, 2012. "Where Is The Economics In Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 210-239, May.
    3. 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.
    4. Kashif Munir & Abdul Qayyum, 2014. "Measuring the effects of monetary policy in Pakistan: a factor-augmented vector autoregressive approach," Empirical Economics, Springer, vol. 46(3), pages 843-864, May.
    5. Leonardo Gambacorta & Boris Hofmann & Gert Peersman, 2014. "The Effectiveness of Unconventional Monetary Policy at the Zero Lower Bound: A Cross‐Country Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(4), pages 615-642, June.
    6. Michael Weber & Ali Ozdagli, 2016. "Monetary Policy Through Production Networks: Evidence from the Stock Market," 2016 Meeting Papers 148, Society for Economic Dynamics.
    7. Stephan Luck & Thomas Zimmermann, 2018. "Employment Effects of Unconventional Monetary Policy : Evidence from QE," Finance and Economics Discussion Series 2018-071, Board of Governors of the Federal Reserve System (US).
    8. repec:pri:cepsud:161blinder is not listed on IDEAS
    9. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    10. LeSage, James P., 1997. "Regression Analysis of Spatial Data," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 27(2), pages 1-12.
    11. Soo Y Chua, 2012. "Assessing the Effects of Monetary Policy Shocks in Malaysia: A Factor Augmented Vector Autoregressive Approach," The IUP Journal of Applied Economics, IUP Publications, vol. 0(3), pages 65-83, July.
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    More about this item

    Keywords

    Monetary Policy; Spatial Model; Spatial Impact; Econometrics;

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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