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Monetary Policy and the Real Economy: A Structural VAR Approach for Sri Lanka

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  • Thanabalasingam Vinayagathasan

    (National Graduate Institute for Policy Studies)

Abstract

This paper attempts to identify the monetary policy indicator that better explains the Sri Lankan monetary policy transmission mechanism. This study also estimates how shocks stemming from foreign monetary policy and/or oil price affect domestic macroeconomic variables. To that end, we use a seven variable structural VAR model by utilizing monthly time series data from Sri Lanka covering the period from January 1978 to December 2011. Impulse response functions and variance decompositions are used to describe the relationships among variables. Our empirical findings suggest that the interest rate shocks play a significant and better role in explaining the movement of economic variables than monetary aggregate shocks or exchange rate shocks. Second, the targeting of reserve money is a better strategy for the Sri Lankan economy than a focus on narrow or broad money. Third, our findings clearly show that foreign monetary policy shocks and oil price shocks do not seem to affect the domestic economy. Finally, the inclusion of oil price in the SVAR model helped us overcome the puzzles that often appear in the existing literature in monetary economics.

Suggested Citation

  • Thanabalasingam Vinayagathasan, 2013. "Monetary Policy and the Real Economy: A Structural VAR Approach for Sri Lanka," GRIPS Discussion Papers 13-13, National Graduate Institute for Policy Studies.
  • Handle: RePEc:ngi:dpaper:13-13
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    References listed on IDEAS

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    1. Martin Eichenbaum & Charles L. Evans, 1995. "Some Empirical Evidence on the Effects of Shocks to Monetary Policy on Exchange Rates," The Quarterly Journal of Economics, Oxford University Press, vol. 110(4), pages 975-1009.
    2. Balke, Nathan S & Fomby, Thomas B, 1997. "Threshold Cointegration," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(3), pages 627-645, August.
    3. Mala Raghavan & George Athanasopoulos & Param Silvapulle, 2009. "VARMA models for Malaysian Monetary Policy Analysis," Monash Econometrics and Business Statistics Working Papers 6/09, Monash University, Department of Econometrics and Business Statistics.
    4. Christiano, Lawrence J & Eichenbaum, Martin & Evans, Charles, 1996. "The Effects of Monetary Policy Shocks: Evidence from the Flow of Funds," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 16-34, February.
    5. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-921, September.
    6. Seo, Myung Hwan, 2008. "Unit Root Test In A Threshold Autoregression: Asymptotic Theory And Residual-Based Block Bootstrap," Econometric Theory, Cambridge University Press, vol. 24(06), pages 1699-1716, December.
    7. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    8. Grilli, Vittorio & Roubini, Nouriel, 1996. "Liquidity models in open economies: Theory and empirical evidence," European Economic Review, Elsevier, vol. 40(3-5), pages 847-859, April.
    9. Sims, Christopher A., 1992. "Interpreting the macroeconomic time series facts : The effects of monetary policy," European Economic Review, Elsevier, vol. 36(5), pages 975-1000, June.
    10. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    11. Leeper, Eric M. & Gordon, David B., 1992. "In search of the liquidity effect," Journal of Monetary Economics, Elsevier, vol. 29(3), pages 341-369, June.
    12. Robin L. Lumsdaine & David H. Papell, 1997. "Multiple Trend Breaks And The Unit-Root Hypothesis," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 212-218, May.
    13. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    14. Bagliano, Fabio C. & Favero, Carlo A., 1998. "Measuring monetary policy with VAR models: An evaluation," European Economic Review, Elsevier, vol. 42(6), pages 1069-1112, June.
    15. Cushman, David O. & Zha, Tao, 1997. "Identifying monetary policy in a small open economy under flexible exchange rates," Journal of Monetary Economics, Elsevier, vol. 39(3), pages 433-448, August.
    16. Gordon, David B & Leeper, Eric M, 1994. "The Dynamic Impacts of Monetary Policy: An Exercise in Tentative Identification," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1228-1247, December.
    17. Andrea Brischetto & Graham Voss, 1999. "A Structural Vector Autoregression Model of Monetary Policy in Australia," RBA Research Discussion Papers rdp1999-11, Reserve Bank of Australia.
    18. Olivier J. Blanchard & Mark W. Watson, 1986. "Are Business Cycles All Alike?," NBER Chapters,in: The American Business Cycle: Continuity and Change, pages 123-180 National Bureau of Economic Research, Inc.
    19. Kim, Soyoung, 2003. "Monetary policy, foreign exchange intervention, and the exchange rate in a unifying framework," Journal of International Economics, Elsevier, vol. 60(2), pages 355-386, August.
    20. Ben S.C. Fung, 2002. "A VAR analysis of the effects of monetary policy in East Asia," BIS Working Papers 119, Bank for International Settlements.
    21. Perron, Pierre, 1997. "Further evidence on breaking trend functions in macroeconomic variables," Journal of Econometrics, Elsevier, vol. 80(2), pages 355-385, October.
    22. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
    23. Ankita Mishra & Vinod Mishra, 2010. "A VAR Model of Monetary Policy and Hypothetical Case of Inflation Targeting in India," Monash Economics Working Papers 15-10, Monash University, Department of Economics.
    24. Amarasekara, Chandranath, 2008. "The Impact of Monetary Policy on Economic Growth and Inflation in Sri Lanka," MPRA Paper 64866, University Library of Munich, Germany.
    25. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
    26. Strongin, Steven, 1995. "The identification of monetary policy disturbances explaining the liquidity puzzle," Journal of Monetary Economics, Elsevier, vol. 35(3), pages 463-497, June.
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    Cited by:

    1. Ghazanchyan, Manuk, 2014. "Unraveling the Monetary Policy Transmission Mechanism in Sri Lanka," MPRA Paper 59444, University Library of Munich, Germany.
    2. Nyorekwa, Enock Twinoburyo & Odhiambo, Nicholas Mbaya, 2016. "Can monetary policy drive economic growth? empirical evidence from Tanzania," Working Papers 21122, University of South Africa, Department of Economics.
    3. Nyorekwa, Enock Twinoburyo & Odhiambo, Nicholas Mbaya, 2016. "Monetary policy and economic growth in Kenya:The role of money supply and interest rates," Working Papers 20712, University of South Africa, Department of Economics.

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