IDEAS home Printed from https://ideas.repec.org/a/sek/jijoes/v4y2015i4p66-77.html
   My bibliography  Save this article

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

Author

Listed:
  • Teguh Sugiarto

    (Budi luhur university)

Abstract

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
    as

    Download full text from publisher

    File URL: https://iises.net/international-journal-of-economic-sciences/publication-detail-185
    Download Restriction: no
    File URL: https://iises.net/international-journal-of-economic-sciences/publication-detail-185?download=5
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christopher A. Sims, 1986. "Are forecasting models usable for policy analysis?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 10(Win), pages 2-16.
    2. 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.
    3. 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.
    4. Peter Sellin, 2001. "Monetary Policy and the Stock Market: Theory and Empirical Evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 15(4), pages 491-541, September.
    5. 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.
    6. Frederic S. Mishkin, 2009. "Monetary Policy Strategy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262513374, April.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mai, Nhat Chi, 2016. "Monetary policies and the macroeconomic performance of Vietnam," OSF Preprints akzy4, Center for Open Science.
    2. Kim, Soyoung & Roubini, Nouriel, 2000. "Exchange rate anomalies in the industrial countries: A solution with a structural VAR approach," Journal of Monetary Economics, Elsevier, vol. 45(3), pages 561-586, June.
    3. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148, Elsevier.
    4. Kim, Soyoung, 2001. "International transmission of U.S. monetary policy shocks: Evidence from VAR's," Journal of Monetary Economics, Elsevier, vol. 48(2), pages 339-372, October.
    5. Kim, Soyoung, 1999. "Do monetary policy shocks matter in the G-7 countries? Using common identifying assumptions about monetary policy across countries," Journal of International Economics, Elsevier, vol. 48(2), pages 387-412, August.
    6. Evans, Charles L. & Marshall, David A., 2007. "Economic determinants of the nominal treasury yield curve," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 1986-2003, October.
    7. Croushore, Dean & Evans, Charles L., 2006. "Data revisions and the identification of monetary policy shocks," Journal of Monetary Economics, Elsevier, vol. 53(6), pages 1135-1160, September.
    8. Evans, Charles L. & Marshall, David A., 1998. "Monetary policy and the term structure of nominal interest rates: Evidence and theory," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 53-111, December.
    9. Jean-François Goux & Charbel Cordahi, 2007. "The international transmission of monetary shocks in a dollarized economy: The case of USA and Lebanon," Post-Print halshs-00174466, HAL.
    10. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    11. Berument, Hakan, 2007. "Measuring monetary policy for a small open economy: Turkey," Journal of Macroeconomics, Elsevier, vol. 29(2), pages 411-430, June.
    12. Jennes Barbara, 2001. "Ein alternativer Indikator der deutschen Geldpolitik. Untersuchung im Rahmen eines strukturellen VAR-Modells / An Improved Indicator of German Monetary Policy A Structural VAR Analysis," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 221(4), pages 371-393, August.
    13. Dawid J. van Lill, 2017. "Changes in the Liquidity Effect Over Time: Evidence from Four Monetary Policy Regimes," Working Papers 704, Economic Research Southern Africa.
    14. Muhammad Javid & Kashif Munir, 2010. "The Price Puzzle and Monetary Policy Transmission Mechanism in Pakistan: Structural Vector Autoregressive Approach," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 49(4), pages 449-460.
    15. Fung, Ben Siu-cheong & Kasumovich, Marcel, 1998. "Monetary shocks in the G-6 countries: Is there a puzzle?," Journal of Monetary Economics, Elsevier, vol. 42(3), pages 575-592, October.
    16. Ben Fung & Rohit Gupta, "undated". "Searching for the Liquidity Effect in Canada," Staff Working Papers 94-12, Bank of Canada.
    17. Kumah, F.Y., 1996. "The Effect of Monetary Policy on Exchange Rates : How to Solve the Puzzles," Discussion Paper 1996-70, Tilburg University, Center for Economic Research.
    18. 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.
    19. Eric Parrado H., 2001. "Foreign Shocks and Monetary Policy Transmission in Chile," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 4(3), pages 29-57, December.
    20. Goto, Shingo, 2000. "The Fed's Effect on Excess Returns and Inflation is Much Bigger Than You Think," University of California at Los Angeles, Anderson Graduate School of Management qt04f1z5hb, Anderson Graduate School of Management, UCLA.

    More about this item

    Keywords

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

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sek:jijoes:v:4:y:2015:i:4:p:66-77. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klara Cermakova (email available below). General contact details of provider: https://ijoes.iises.net/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.