IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v20y2011i2p267-280.html
   My bibliography  Save this article

An empirical investigation of monetary interaction in the Korean economy

Author

Listed:
  • Choo, Han Gwang
  • Kurita, Takamitsu

Abstract

This paper conducts an econometric investigation of monetary interaction in the Korean economy over the past two decades. The study pays close attention to a critical role played by broad money and an interest rate term spread in the economy. A vector autoregression reveals two cointegrating relationships, both of which are consistent with macroeconomic theory: the first relationship corresponds to a broad money demand function, while the second represents a monetary policy rule function. The cointegrated system is then reduced to a vector equilibrium correction system, which characterizes the interaction between money demand and monetary policy rule. It is also demonstrated that the preferred model is a reliable forecasting device, suggesting that the broad money contains information about the real economy in the future.

Suggested Citation

  • Choo, Han Gwang & Kurita, Takamitsu, 2011. "An empirical investigation of monetary interaction in the Korean economy," International Review of Economics & Finance, Elsevier, vol. 20(2), pages 267-280, April.
  • Handle: RePEc:eee:reveco:v:20:y:2011:i:2:p:267-280
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059-0560(10)00055-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lubik, Thomas A. & Marzo, Massimiliano, 2007. "An inventory of simple monetary policy rules in a New Keynesian macroeconomic model," International Review of Economics & Finance, Elsevier, vol. 16(1), pages 15-36.
    2. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 147-180.
    3. Nelson, Edward, 2003. "The future of monetary aggregates in monetary policy analysis," Journal of Monetary Economics, Elsevier, vol. 50(5), pages 1029-1059, July.
    4. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    5. Michael Woodford, 2008. "How Important Is Money in the Conduct of Monetary Policy?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(8), pages 1561-1598, December.
    6. Hendry, David F & Doornik, Jurgen A, 1994. "Modelling Linear Dynamic Econometric Systems," Scottish Journal of Political Economy, Scottish Economic Society, vol. 41(1), pages 1-33, February.
    7. Laurence Ball, 1999. "Efficient Rules for Monetary Policy," International Finance, Wiley Blackwell, vol. 2(1), pages 63-83, April.
    8. William J. Crowder & Dennis L. Hoffman & Robert H. Rasche, 1999. "Identification, Long-Run Relations, and Fundamental Innovations in a Simple Cointegrated System," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 109-121, February.
    9. 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.
    10. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    11. Hallman, Jeffrey J & Porter, Richard D & Small, David H, 1991. "Is the Price Level Tied to the M2 Monetary Aggregate in the Long Run?," American Economic Review, American Economic Association, vol. 81(4), pages 841-858, September.
    12. Imke Brüggemann, 2003. "Measuring Monetary Policy in Germany: A Structural Vector Error Correction Approach," German Economic Review, Verein für Socialpolitik, vol. 4, pages 307-339, August.
    13. Hafer, R W & Jansen, Dennis W, 1991. "The Demand for Money in the United States: Evidence from Cointegration Tests," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 23(2), pages 155-168, May.
    14. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    15. Clarida, Richard & Gali, Jordi & Gertler, Mark, 1998. "Monetary policy rules in practice Some international evidence," European Economic Review, Elsevier, vol. 42(6), pages 1033-1067, June.
    16. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    17. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    18. Bahmani-Oskooee Mohsen & Shin Sungwon, 2002. "Stability of the Demand for Money in Korea," International Economic Journal, Taylor & Francis Journals, vol. 16(2), pages 85-95.
    19. Laurence Ball & Robert R. Tchaidze, 2002. "The Fed and the New Economy," American Economic Review, American Economic Association, vol. 92(2), pages 108-114, May.
    20. Hendry, D.F. & Mizon, G.E., 1990. "Evaluating Dynamic Econometric Models By Encompassing The Var," Economics Series Working Papers 99102, University of Oxford, Department of Economics.
    21. Kulish Mariano, 2007. "Should Monetary Policy Use Long-Term Rates?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 7(1), pages 1-26, July.
    22. Hoffman, Dennis L & Rasche, Robert H, 1991. "Long-Run Income and Interest Elasticities of Money Demand in the United States," The Review of Economics and Statistics, MIT Press, vol. 73(4), pages 665-674, November.
    23. Godfrey, Leslie G, 1978. "Testing for Higher Order Serial Correlation in Regression Equations When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1303-1310, November.
    24. Mehra, Yash P., 2001. "The bond rate and estimated monetary policy rules," Journal of Economics and Business, Elsevier, vol. 53(4), pages 345-358.
    25. Arize, Augustine C. & Malindretos, John & Shwiff, Steven S., 1999. "Structural breaks, cointegration, and speed of adjustment Evidence from 12 LDCs money demand," International Review of Economics & Finance, Elsevier, vol. 8(4), pages 399-420, November.
    26. Jurgen A. Doornik, 1998. "Approximations To The Asymptotic Distributions Of Cointegration Tests," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 573-593, December.
    27. Ahmed Khalid, 1999. "Modelling money demand in open economies: the case of selected Asian countries," Applied Economics, Taylor & Francis Journals, vol. 31(9), pages 1129-1135.
    28. Robert D. Laurent, 1988. "An interest rate-based indicator of monetary policy," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 12(Jan), pages 3-14.
    29. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
    30. Anders Møller Christensen & Heino Bohn Nielsen, 2009. "Monetary Policy in the Greenspan Era: A Time Series Analysis of Rules vs. Discretion," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 69-89, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Takamitsu Kurita, 2019. "A Recursive Monte Carlo Study of Structural-Break Sensitivity of Adjustment Coefficients in Cointegrated VAR Systems," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(2), pages 251-270, June.

    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. Ericsson, Neil R & Hendry, David F & Mizon, Grayham E, 1998. "Exogeneity, Cointegration, and Economic Policy Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 370-387, October.
    2. David F. Hendry & Grayham E. Mizon, 2016. "Improving the teaching of econometrics," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1170096-117, December.
    3. Imke Brüggemann, 2003. "Measuring Monetary Policy in Germany: A Structural Vector Error Correction Approach," German Economic Review, Verein für Socialpolitik, vol. 4(3), pages 307-339, August.
    4. Sunil Sharma & Neil R. Ericsson, 1998. "Broad money demand and financial liberalization in Greece," Empirical Economics, Springer, vol. 23(3), pages 417-436.
    5. Noriega Antonio E. & Ramos Francia Manuel & Rodríguez-Pérez Cid Alonso, 2015. "Money Demand Estimations in Mexico and of its Stability 1986-2010, as well as Some Examples of its Uses," Working Papers 2015-13, Banco de México.
    6. Sharifi-Renani, Hosein, 2007. "Demand for money in Iran: An ARDL approach," MPRA Paper 8224, University Library of Munich, Germany.
    7. Anders Møller Christensen & Heino Bohn Nielsen, 2009. "Monetary Policy in the Greenspan Era: A Time Series Analysis of Rules vs. Discretion," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 69-89, February.
    8. Kurita, Takamitsu, 2011. "An empirical model for Japan's business fixed investment," Journal of Economics and Business, Elsevier, vol. 63(2), pages 107-120, March.
    9. Kurita, Takamitsu, 2011. "An empirical model for Japan’s business fixed investment," Journal of Economics and Business, Elsevier, vol. 63(2), pages 107-120.
    10. Kurita, Takamitsu, 2010. "Co-breaking, cointegration, and weak exogeneity: Modelling aggregate consumption in Japan," Economic Modelling, Elsevier, vol. 27(2), pages 574-584, March.
    11. M.T. Alguacil & V. Orts, "undated". "A multivariate cointegrated model testing for temporal causality between exports and outward FDI: The Spanish case," Studies on the Spanish Economy 50, FEDEA.
    12. Kuikeu, Oscar, 2011. "Arguments contre la zone franc [Against the cfa franc zone]," MPRA Paper 33710, University Library of Munich, Germany.
    13. M. T. Alguacil & V. Orts, 2003. "Inward Foreign Direct Investment and Imports in Spain," International Economic Journal, Taylor & Francis Journals, vol. 17(3), pages 19-38.
    14. Caglayan, Mustafa & Jehan, Zainab & Mouratidis, Kostas, 2012. "Asymmetric monetary policy rules for open economies: Evidence from four countries," MPRA Paper 37401, University Library of Munich, Germany.
    15. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    16. White, Halbert & Pettenuzzo, Davide, 2014. "Granger causality, exogeneity, cointegration, and economic policy analysis," Journal of Econometrics, Elsevier, vol. 178(P2), pages 316-330.
    17. Takamitsu Kurita & B. Nielsen, 2018. "Partial cointegrated vector autoregressive models with structural breaks in deterministic terms," Economics Papers 2018-W03, Economics Group, Nuffield College, University of Oxford.
    18. Katrin Wölfel & Christoph S. Weber, 2017. "Searching for the Fed’s reaction function," Empirical Economics, Springer, vol. 52(1), pages 191-227, February.
    19. Reynard, Samuel, 2007. "Maintaining low inflation: Money, interest rates, and policy stance," Journal of Monetary Economics, Elsevier, vol. 54(5), pages 1441-1471, July.
    20. Gerberding, Christina & Seitz, Franz & Worms, Andreas, 2007. "Money-based interest rate rules: lessons from German data," Discussion Paper Series 1: Economic Studies 2007,06, Deutsche Bundesbank.

    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:eee:reveco:v:20:y:2011:i:2:p:267-280. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620165 .

    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.