IDEAS home Printed from https://ideas.repec.org/p/hkm/wpaper/232009.html
   My bibliography  Save this paper

Structural Change and Counterfactual Inflation-Targeting in Hong Kong

Author

Listed:
  • Paul D. McNelis

    (Hong Kong Institute for Monetary Research, Fordham University)

Abstract

This paper evaluates structural change and adjustment in Hong Kong with Bayesian estimation of a small open economy with a fixed exchange rate show little or no change in the structural parameters or volatility estimates of the structural shocks before and after the Asian crisis and the experience of deflation. Terms of trade shocks are the most important sources of volatility for inflation in both periods. A counterfactual simulation shows that the dispersion of consumption and inflation volatility may have slightly decreased with an inflation-targeting regime with no uncertainty, but interest-rate volatility would have increased by factors of 50 to 100 percent.

Suggested Citation

  • Paul D. McNelis, 2009. "Structural Change and Counterfactual Inflation-Targeting in Hong Kong," Working Papers 232009, Hong Kong Institute for Monetary Research.
  • Handle: RePEc:hkm:wpaper:232009
    as

    Download full text from publisher

    File URL: http://www.hkimr.org/uploads/publication/125/ub_full_0_2_218_wp-no-23_2009.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gerlach, Stefan & Peng, Wensheng, 2005. "Bank lending and property prices in Hong Kong," Journal of Banking & Finance, Elsevier, vol. 29(2), pages 461-481, February.
    2. Mr. Philip Schellekens, 2003. "Deflation in Hong Kong SAR," IMF Working Papers 2003/077, International Monetary Fund.
    3. Hans Genberg & Laurent Pauwels, 2003. "Inlation in Hong Kong, SAR- In Search of a Transmission Mechanism," Working Papers 012003, Hong Kong Institute for Monetary Research.
    4. Francisco Dakila, Jr., 2001. "Alternative Monetary Policy Rules for the Philippines," Philippine Review of Economics, University of the Philippines School of Economics and Philippine Economic Society, vol. 38(2), pages 1-36, December.
    5. Hans Genberg, 2003. "Foreign versus domestic factors as sources of macroeconomic fluctuations in Hong Kong," IHEID Working Papers 05-2003, Economics Section, The Graduate Institute of International Studies.
    6. McKibbin, Warwick J. & Wilcoxen, Peter J., 1998. "The theoretical and empirical structure of the G-Cubed model," Economic Modelling, Elsevier, vol. 16(1), pages 123-148, January.
    7. Weshah A. Razzak, 2003. "Wage-Price Dynamics, the Labour Market and Deflation in Hong Kong," Working Papers 242003, Hong Kong Institute for Monetary Research.
    8. Brunner, Karl & Meltzer, Allan H., 1976. "The Phillips curve," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 1-18, January.
    9. James Yetman, 2009. "Hong Kong Consumer Prices are Flexible," Working Papers 052009, Hong Kong Institute for Monetary Research.
    10. Naoyuki Yoshino & Eisuke Sakakibara, 2002. "The Current State of the Japanese Economy and Remedies," Asian Economic Papers, MIT Press, vol. 1(2), pages 110-126.
    11. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    12. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    13. N. Nergiz Dincer & Barry Eichengreen, 2007. "Central Bank Transparency: Where, Why, and with What Effects?," NBER Working Papers 13003, National Bureau of Economic Research, Inc.
    14. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    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. Michael Cheng & Wai-Yip Alex Ho, 2009. "A Structural Investigation into the Price and Wage Dynamics in Hong Kong," Working Papers 0920, Hong Kong Monetary Authority.

    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. Bazhenova Olena & Bazhenova Yuliya, 2016. "Modelling the Impact of External Shocks on Economy of Ukraine: Dsge Approach," Ekonomika (Economics), Sciendo, vol. 95(1), pages 64-83, January.
    2. Drissi, Ramzi & Ghassan, Hassan B., 2018. "Sticky Price versus Sticky Information Price: Empirical Evidence in the New Keynesian Setting," MPRA Paper 93075, University Library of Munich, Germany, revised Apr 2019.
    3. Javier Andrés & Fernando Restoy, 2007. "Macroeconomic modelling in EMU: how relevant is the change in regime?," Working Papers 0718, Banco de España.
    4. Rangan Gupta & Rudi Steinbach, 2010. "Forecasting Key Macroeconomic Variables of the South African Economy: A Small Open Economy New Keynesian DSGE-VAR Model," Working Papers 201019, University of Pretoria, Department of Economics.
    5. Lucas Papademos, 2005. "Macroeconomic theory and monetary policy: the contributions of Franco Modigliani and the ongoing debate," BNL Quarterly Review, Banca Nazionale del Lavoro, vol. 58(233-234), pages 187-214.
    6. Uhlig, Harald, 2012. "Economics and reality," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 29-41.
    7. Aaron G. Grech (ed.), 2015. "The evolution of the Maltese Economy since Independence," CBM Ebooks, Central Bank of Malta, edition 1, number 02.
    8. Latsos Sophia, 2018. "Real Wage Effects of Japan’s Monetary Policy," ORDO. Jahrbuch für die Ordnung von Wirtschaft und Gesellschaft, De Gruyter, vol. 69(1), pages 177-215, July.
    9. Roccazzella, Francesco, 2019. "Credit market frictions and rational agents' myopia: Modeling financial frictions and shock to expectations in a DSGE setting estimated on Slovenian data," LIDAM Discussion Papers LFIN 2019004, Université catholique de Louvain, Louvain Finance (LFIN).
    10. Christopher L. Gilbert & Duo Qin, 2007. "Representation in Econometrics: A Historical Perspective," Working Papers 583, Queen Mary University of London, School of Economics and Finance.
    11. Consolo, Agostino & Favero, Carlo A. & Paccagnini, Alessia, 2009. "On the statistical identification of DSGE models," Journal of Econometrics, Elsevier, vol. 150(1), pages 99-115, May.
    12. Ansgar Belke & Ralph Setzer, 2004. "Nobelpreis für Wirtschaftswissenschaften 2004 an Finn E. Kydland and Edward C. Prescott," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 248/2004, Department of Economics, University of Hohenheim, Germany.
    13. Aaron G Grech, "undated". "The evolution of the Maltese economy since independence," CBM Working Papers WP/05/2015, Central Bank of Malta.
    14. Botelho, Vinícius, 2019. "Estimating the economic impacts of power supply interruptions," Energy Economics, Elsevier, vol. 80(C), pages 983-994.
    15. José Luis Torres Chacon, 2015. "Introduction to Dynamic Macroeconomic General Equilibrium Models," Vernon Press Titles in Economics, Vernon Art and Science Inc, edition 2, number 54, July.
    16. Rangan Gupta & Hylton Hollander & Rudi Steinbach, 2020. "Forecasting output growth using a DSGE-based decomposition of the South African yield curve," Empirical Economics, Springer, vol. 58(1), pages 351-378, January.
    17. Frydman Roman & Goldberg Michael D., 2008. "Macroeconomic Theory for a World of Imperfect Knowledge," Capitalism and Society, De Gruyter, vol. 3(3), pages 1-78, December.
    18. Gerlach-Kristen, Petra, 2006. "Internal and external shocks in Hong Kong: Empirical evidence and policy options," Economic Modelling, Elsevier, vol. 23(1), pages 56-75, January.
    19. Christopher L. Gilbert & Duo Qin, 2007. "Representation in Econometrics: A Historical Perspective," Working Papers 583, Queen Mary University of London, School of Economics and Finance.
    20. Vitor Gaspar & Frank Smets & David Vestin, 2006. "Optimal Monetary Policy under Adaptive Learning," Computing in Economics and Finance 2006 183, Society for Computational Economics.

    More about this item

    Keywords

    Bayesian Estimation; Structural Change; Inflation Targeting;
    All these keywords.

    JEL classification:

    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hkm:wpaper:232009. 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: HKIMR (email available below). General contact details of provider: https://edirc.repec.org/data/hkimrhk.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.