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Svar Model To Examine The Short And Long Term Monetary Policy In Indonesia


  • Teguh Sugiarto

    () (Budi luhur university)


This research was conducted by the author to see the impact of monetary policy on the domestic macro-economic variables is important in Indonesia using a structural model of the short and long term, contained in a structural model of vectorAutoregressions (SVAR). The author uses the effects of macroeconomic policy is the key in this research, by applying the matrix model SVAR initiated by Bernanke & Mihov (1998) short term and Blancard & Quah (1989) long term. Research conducted using the 4 variables, consisting of two domestic variables, namely the interest rate of Bank Indonesia (SBI), the consumer price index (CPI) and two non-domestic variables, namely the interest rate the central bank United States(FFF), the rate of inflation in the United States (INF_USA). From the research that has been done can be inferred that the SVAR models used in this study can be used as a reference to the theoretical expectations in order to show that the rise in interest rates and the central bank of the United States could affect Indonesia's domestic variables.

Suggested Citation

  • Teguh Sugiarto, 2015. "Svar Model To Examine The Short And Long Term Monetary Policy In Indonesia," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 4(4), pages 66-77, December.
  • Handle: RePEc:sek:jijoes:v:4:y:2015:i:4:p:66-77

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    References listed on IDEAS

    1. 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.
    2. Sellin, Peter, 2001. " Monetary Policy and the Stock Market: Theory and Empirical Evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 15(4), pages 491-541, September.
    3. Bernanke, Ben S., 1986. "Alternative explanations of the money-income correlation," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 49-99, January.
    4. Frederic S. Mishkin, 2009. "Monetary Policy Strategy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262513374, January.
    5. 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.
    6. Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 2-16.
    7. Vittorio Grilli & Nouriel Roubini, 1995. "Liquidity and Exchange Rates: Puzzling Evidence from the G-7 Countries," Working Papers 95-17, New York University, Leonard N. Stern School of Business, Department of Economics.
    8. Ioannidis, Christos & Kontonikas, Alexandros, 2008. "The impact of monetary policy on stock prices," Journal of Policy Modeling, Elsevier, vol. 30(1), pages 33-53.
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    More about this item


    SVAR; restricted short-term; restrictions long-term; IRF; FEVD; SBI; CPI; FFF; Inflation USA.;

    JEL classification:

    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • B49 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Other


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