IDEAS home Printed from https://ideas.repec.org/p/nzb/nzbdps/1997-01.html
   My bibliography  Save this paper

A measure of monetary conditions

Author

Abstract

This paper explains why the overall stance of monetary policy is effected by both interest rates and the exchange rate, and hence why a Monetary Conditions Indicator can provide useful information about the stance of policy. Three output gap equations estimated in this paper reveal that the real interest rate and the real exchange rate both affect excess demand but that the real interest rate is the more powerful and faster acting policy transmission channel.

Suggested Citation

  • Richard Dennis, 1997. "A measure of monetary conditions," Reserve Bank of New Zealand Discussion Paper Series G97/1, Reserve Bank of New Zealand.
  • Handle: RePEc:nzb:nzbdps:1997/01
    as

    Download full text from publisher

    File URL: http://www.rbnz.govt.nz/-/media/ReserveBank/Files/Publications/Discussion%20papers/1997/g97-1.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eika, Kari H & Ericsson, Neil R & Nymoen, Ragnar, 1996. "Hazards in Implementing a Monetary Conditions Index," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(4), pages 765-790, November.
    2. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    3. Gerlach, Stefan & Smets, Frank, 2000. "MCIs and monetary policy," European Economic Review, Elsevier, vol. 44(9), pages 1677-1700, October.
    4. Duguay, Pierre, 1994. "Empirical evidence on the strength of the monetary transmission mechanism in Canada: An aggregate approach," Journal of Monetary Economics, Elsevier, vol. 33(1), pages 39-61, February.
    5. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
    6. Charles Freedman, 1995. "The role of monetary conditions and the monetary conditions index in the conduct of policy [speech]," Bank of Canada Review, Bank of Canada, vol. 1995(Autumn), pages 53-59.
    7. King, Robert G. & Rebelo, Sergio T., 1993. "Low frequency filtering and real business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 17(1-2), pages 207-231.
    8. Economics Department, 1996. "Summary indicators of monetary conditions," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 59, September.
    9. Harvey, A C & Jaeger, A, 1993. "Detrending, Stylized Facts and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(3), pages 231-247, July-Sept.
    10. Lucas, Robert Jr., 1972. "Expectations and the neutrality of money," Journal of Economic Theory, Elsevier, vol. 4(2), pages 103-124, April.
    11. Cogley, Timothy & Nason, James M., 1995. "Effects of the Hodrick-Prescott filter on trend and difference stationary time series Implications for business cycle research," Journal of Economic Dynamics and Control, Elsevier, vol. 19(1-2), pages 253-278.
    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. Bayangos, V.B., 2000. "real monetary conditions index for the Philippines : is it useful?," ISS Working Papers - General Series 19054, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    2. Ben Hunt & Adrian Orr, 1999. "Inter-forecast monetary policy implementation: responding to unexpected exchange rate movements," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 62, March.
    3. Leo Bonato & Robert St. Clair & Rainer Winkelmann, 1999. "Survey expectations of monetary conditions in New Zealand: determinants and implications for the transmission of policy," Reserve Bank of New Zealand Discussion Paper Series G99/6, Reserve Bank of New Zealand.
    4. Ali MNA & Moheddine YOUNSI, 2018. "A monetary conditions index and its application on Tunisian economic forecasting," Journal of Economics and Political Economy, KSP Journals, vol. 5(1), pages 38-56, March.
    5. David Hargreaves, 1999. "SDS-FPS: a small demand-side version of the Forecasting and Policy System core model," Reserve Bank of New Zealand Discussion Paper Series G99/10, Reserve Bank of New Zealand.
    6. Mna, Ali & Younsi, Moheddine, 2018. "A Monetary Conditions Index and its Application on Tunisian Economic Forecasting," MPRA Paper 83648, University Library of Munich, Germany.
    7. Gerlach, Stefan & Smets, Frank, 2000. "MCIs and monetary policy," European Economic Review, Elsevier, vol. 44(9), pages 1677-1700, October.
    8. Luis Gonzalo Llosa & Shirley Miller, 2004. "Using Additional Information in Estimating the Output Gap in Peru: a Multivariate Unobserved Component Approach," Money Affairs, CEMLA, vol. 0(1), pages 57-82, January-J.
    9. Arjeta Vokshi (Abazi), 2013. "A Monetary Conditions Index For Albania," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(15), pages 1-18.
    10. Stephen J. Burnell, 1998. "New Zealand’s Monetary Conditions Index: A Critical Analysis," Agenda - A Journal of Policy Analysis and Reform, Australian National University, College of Business and Economics, School of Economics, vol. 5(4), pages 477-486.
    11. Caesar P Lack, 2003. "A financial conditions index for Switzerland," BIS Papers chapters, in: Bank for International Settlements (ed.), Monetary policy in a changing environment, volume 19, pages 398-413, Bank for International Settlements.
    12. Peeters, Marga, 1999. "Measuring monetary conditions in Europe: Use and limitations of the monetary conditions index," MPRA Paper 23534, University Library of Munich, Germany.
    13. Ben Hunt, 1999. "Inter-forecast monetary policy implementation: fixed-instrument versus MCI-based strategies," Reserve Bank of New Zealand Discussion Paper Series G99/1, Reserve Bank of New Zealand.
    14. Mayes, David G. & Razzak, W. A., 1998. "Transparency and accountability: Empirical models and policy making at the Reserve Bank of New Zealand," Economic Modelling, Elsevier, vol. 15(3), pages 377-394, July.

    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. Mr. Andreas Billmeier, 2004. "Ghostbusting: Which Output Gap Measure Really Matters?," IMF Working Papers 2004/146, International Monetary Fund.
    2. Robert J. Hodrick, 2020. "An Exploration of Trend-Cycle Decomposition Methodologies in Simulated Data," NBER Working Papers 26750, National Bureau of Economic Research, Inc.
    3. Athanasios Orphanides & Simon van Norden, 2002. "The Unreliability of Output-Gap Estimates in Real Time," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 569-583, November.
    4. Alain Guay & Pierre Saint-Amant, 2005. "Do the Hodrick-Prescott and Baxter-King Filters Provide a Good Approximation of Business Cycles?," Annals of Economics and Statistics, GENES, issue 77, pages 133-155.
    5. Álvarez, Luis J. & Gómez-Loscos, Ana, 2018. "A menu on output gap estimation methods," Journal of Policy Modeling, Elsevier, vol. 40(4), pages 827-850.
    6. David E. Giles & Chad N. Stroomer, 2004. "Identifying the Cycle of a Macroeconomic Time-Series Using Fuzzy Filtering," Econometrics Working Papers 0406, Department of Economics, University of Victoria.
    7. Roberto Iannaccone & Edoardo Otranto, 2003. "Signal Extraction in Continuous Time and the Generalized Hodrick- Prescott Filter," Econometrics 0311002, University Library of Munich, Germany.
    8. Sergey Sinelnikov-Murylev & Sergey Drobyshevsky & Maria Kazakova & Michael Alexeev, 2016. "Decomposition of Russia's GDP Growth Rates," Research Paper Series, Gaidar Institute for Economic Policy, issue 167P, pages 123-123.
    9. Alain Guay & Pierre St-Amant, 1996. "Do Mechanical Filters Provide a Good Approximation of Business Cycles?," Technical Reports 78, Bank of Canada.
    10. Ard den Reijer, 2006. "The Dutch business cycle: which indicators should we monitor?," DNB Working Papers 100, Netherlands Central Bank, Research Department.
    11. Leo Butler, 1996. "The Bank of Canada's New Quarterly Porjection Model Part 4 : A Semi- Structural Method to Estimate Potential Output : Combining Economic Theory with a Time-Series Filter," Technical Reports 77, Bank of Canada.
    12. Amado Peiró, 2000. "Economic Comovements In European Countries," Working Papers. Serie EC 2000-19, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    13. Maravall, A. & del Rio, A., 2007. "Temporal aggregation, systematic sampling, and the Hodrick-Prescott filter," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 975-998, October.
    14. Hall, Viv B & Thomson, Peter, 2022. "A boosted HP filter for business cycle analysis: evidence from New Zealand’s small open economy," Working Paper Series 9473, Victoria University of Wellington, School of Economics and Finance.
    15. Woitek, Ulrich, 2003. "Height cycles in the 18th and 19th centuries," Economics & Human Biology, Elsevier, vol. 1(2), pages 243-257, June.
    16. Gregory, Allan W. & Smith, Gregor W., 1996. "Measuring business cycles with business-cycle models," Journal of Economic Dynamics and Control, Elsevier, vol. 20(6-7), pages 1007-1025.
    17. L.A. Gil-Alana, 2005. "Fractional Cyclical Structures & Business Cycles in the Specification of the US Real Output," European Research Studies Journal, European Research Studies Journal, vol. 0(1-2), pages 99-126.
    18. Aadland, David, 2005. "Detrending time-aggregated data," Economics Letters, Elsevier, vol. 89(3), pages 287-293, December.
    19. Melina Dritsaki & Chaido Dritsaki, 2022. "Comparison of HP Filter and the Hamilton’s Regression," Mathematics, MDPI, vol. 10(8), pages 1-18, April.
    20. Blonigen, Bruce A. & Piger, Jeremy & Sly, Nicholas, 2014. "Comovement in GDP trends and cycles among trading partners," Journal of International Economics, Elsevier, vol. 94(2), pages 239-247.

    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    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:nzb:nzbdps:1997/01. 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: Reserve Bank of New Zealand Knowledge Centre (email available below). General contact details of provider: https://edirc.repec.org/data/rbngvnz.html .

    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.