IDEAS home Printed from https://ideas.repec.org/p/rba/rbardp/rdp9611.html
   My bibliography  Save this paper

A Markov-switching Model of Inflation in Australia

Author

Listed:
  • John Simon

    (Reserve Bank of Australia)

Abstract

This paper applies the methodology of Markov-switching models to describe the inflation process in Australia in the period since the early 1960s. In contrast to conventional modelling, the approach makes explicit allowance for the possibility of structural change: inflation is modelled within a framework that allows endogenous switching between simple inflation equations. The approach may be relevant to understanding shifts in inflation expectations if the public also uses relatively simple forecasting rules in formulating expectations. The results suggest that inflation is reasonably well represented by relatively simple functions of past inflation and an output gap term, with major regime changes occurring in the early 1970s and early 1990s.

Suggested Citation

  • John Simon, 1996. "A Markov-switching Model of Inflation in Australia," RBA Research Discussion Papers rdp9611, Reserve Bank of Australia.
    • Handle: RePEc:rba:rbardp:rdp9611
    as

    Download full text from publisher

    File URL: https://www.rba.gov.au/publications/rdp/1996/pdf/rdp9611.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. de Brouwer, Gordon & Ericsson, Neil R, 1998. "Modeling Inflation in Australia," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 433-449, October.
    2. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    3. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    4. Perron, Pierre, 1990. "Testing for a Unit Root in a Time Series with a Changing Mean," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 153-162, April.
    5. Hansen, Bruce E, 1992. "The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 61-82, Suppl. De.
    6. Evans, Martin & Wachtel, Paul, 1993. "Inflation Regimes and the," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 25(3), pages 475-511, August.
    7. Taylor, John B., 1981. "On the relation between the variability of inflation and the average inflation rate," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 15(1), pages 57-85, January.
    8. Ball, Laurence, 1992. "Why does high inflation raise inflation uncertainty?," Journal of Monetary Economics, Elsevier, vol. 29(3), pages 371-388, June.
    9. Martin Evans & Paul Wachtel, 1993. "Inflation regimes and the sources of inflation uncertainty," Proceedings, Federal Reserve Bank of Cleveland, pages 475-520.
    10. Hamilton, James D. & Susmel, Raul, 1994. "Autoregressive conditional heteroskedasticity and changes in regime," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 307-333.
    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. Joseph E. Gagnon, 2008. "Inflation regimes and inflation expectations," Review, Federal Reserve Bank of St. Louis, vol. 90(May), pages 229-243.
    2. Neil Dias Karunaratne & Ramprasad Bhar, 2010. "Regime-Shifts & Post-Float Inflation Dynamics In Australia," Discussion Papers Series 405, School of Economics, University of Queensland, Australia.
    3. Just, Małgorzata & Echaust, Krzysztof, 2020. "Stock market returns, volatility, correlation and liquidity during the COVID-19 crisis: Evidence from the Markov switching approach," Finance Research Letters, Elsevier, vol. 37(C).
    4. Alison Tarditi, 1996. "Modelling the Australian Exchange Rate, Long Bond Yield and Inflationary Expectations," RBA Research Discussion Papers rdp9608, Reserve Bank of Australia.
    5. Piotr Białowolski & Dawid Żochowski & Piotr Zwiernik, 2011. "Modelling Inflation Using Markov Switching Models: Case of Poland, 1992 – 2005," Prace i Materiały, Instytut Rozwoju Gospodarczego (SGH), vol. 86(2), pages 185-199, January.
    6. Vugar Ahmadov & Shaig Adigozalov & Salman Huseynov & Fuad Mammadov & Vugar Rahimov, 2016. "Forecasting inflation in post-oil boom years: A case for non-linear models?," Working Papers 1601, Central Bank of Azerbaijan Republic.
    7. Bilgili, Faik & Tülüce, Nadide Sevil Halıcı & Doğan, İbrahim, 2012. "The determinants of FDI in Turkey: A Markov Regime-Switching approach," Economic Modelling, Elsevier, vol. 29(4), pages 1161-1169.
    8. repec:wsd:irgpim:v:86:y:2011:i:1:p:185-199 is not listed on IDEAS
    9. Barsoum, Fady & Stankiewicz, Sandra, 2015. "Forecasting GDP growth using mixed-frequency models with switching regimes," International Journal of Forecasting, Elsevier, vol. 31(1), pages 33-50.
    10. Besso, Christophe Raoul, 2010. "Phillips Curve, case study in Cameroon: evaluation of fundamental assumptions," MPRA Paper 35614, University Library of Munich, Germany, revised 28 Dec 2011.
    11. Alexandra Krystalogianni & Sotiris Tsolacos, 2005. "Regime switching in yield structures and real estate investment," Journal of Property Research, Taylor & Francis Journals, vol. 21(4), pages 279-299, May.
    12. Christopher CRUZ & Claire MAPA, 2013. "An Early Warning System For Inflation In The Philippines Using Markov-Switching And Logistic Regression Models," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 4(2), pages 136-150.
    13. Barraez, Daniel & Pagliacci, Carolina, 2009. "A Markov-Switching Model of Inflation: Looking at the future during uncertain times," MPRA Paper 106550, University Library of Munich, Germany.
    14. Egan, Paul & McQuinn, Kieran, 2023. "Regime switching and the responsiveness of prices to supply: The case of the Irish housing market," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 82-94.
    15. Lupu, Dan & Asandului, Mircea & Sîrghi, Nicoleta, 2015. "Considerations regarding inflation's evolution in Central and Eastern European countries," MPRA Paper 95508, University Library of Munich, Germany.
    16. Yucel, Eray, 2011. "A Review and Bibliography of Early Warning Models," MPRA Paper 32893, University Library of Munich, Germany.
    17. Philippe Burger, 2014. "Inflation and Market Uncertainty in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 82(4), pages 583-602, December.

    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. Garcia, Rene & Perron, Pierre, 1996. "An Analysis of the Real Interest Rate under Regime Shifts," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 111-125, February.
    2. Mustafa Caglayan & Ozge Kandemir & Kostas Mouratidis, 2011. "Real effects of inflation uncertainty in the US," Working Papers 2011002, The University of Sheffield, Department of Economics, revised Feb 2015.
    3. Mustafa Caglayan & Ozge Kandemir & Kostas Mouratidis, 2012. "The Impact of Inflation Uncertainty on Economic Growth: A MRS-IV Approach," Working Papers 2012025, The University of Sheffield, Department of Economics.
    4. Kushal Banik Chowdhury & Nityananda Sarkar, 2019. "Regime Dependent Effect Of Output Growth On Output Growth Uncertainty: Evidence From Oecd Countries," Bulletin of Economic Research, Wiley Blackwell, vol. 71(3), pages 257-282, July.
    5. Mustafa Caglayan & Ozge Kandemir Kocaaslan & Kostas Mouratidis, 2016. "Regime Dependent Effects of Inflation Uncertainty on Real Growth: A Markov Switching Approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(2), pages 135-155, May.
    6. Kuang‐Liang Chang & Chi‐Wei He, 2010. "Does The Magnitude Of The Effect Of Inflation Uncertainty On Output Growth Depend On The Level Of Inflation?," Manchester School, University of Manchester, vol. 78(2), pages 126-148, March.
    7. Baele, Lieven, 2005. "Volatility Spillover Effects in European Equity Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(2), pages 373-401, June.
    8. Nan Li & Simon S. Kwok, 2021. "Jointly determining the state dimension and lag order for Markov‐switching vector autoregressive models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(4), pages 471-491, July.
    9. Arturo Leccadito & Stefania Veltri, 2015. "A regime switching Ohlson model," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(5), pages 2015-2035, September.
    10. Kim, Chang-Jin & Nelson, Charles R, 2001. "A Bayesian Approach to Testing for Markov-Switching in Univariate and Dynamic Factor Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(4), pages 989-1013, November.
    11. Barraez, Daniel & Pagliacci, Carolina, 2009. "A Markov-Switching Model of Inflation: Looking at the future during uncertain times," MPRA Paper 106550, University Library of Munich, Germany.
    12. Vadim Marmer, 2008. "Testing the null hypothesis of no regime switching with an application to GDP growth rates," Empirical Economics, Springer, vol. 35(1), pages 101-122, August.
    13. Alison Tarditi, 1996. "Modelling the Australian Exchange Rate, Long Bond Yield and Inflationary Expectations," RBA Research Discussion Papers rdp9608, Reserve Bank of Australia.
    14. Igor Alexandre Clemente de Morais & Marcelo Savino Portugal, 2003. "Business Cycle in the Industrial Production of Brazilian States," Anais do XXXI Encontro Nacional de Economia [Proceedings of the 31st Brazilian Economics Meeting] e75, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    15. Lange, Ronald H., 2017. "The expected real yield and inflation components of the nominal yield curve," The North American Journal of Economics and Finance, Elsevier, vol. 39(C), pages 1-18.
    16. Smith, Aaron & Naik, Prasad A. & Tsai, Chih-Ling, 2006. "Markov-switching model selection using Kullback-Leibler divergence," Journal of Econometrics, Elsevier, vol. 134(2), pages 553-577, October.
    17. Chang, Kuang-Liang, 2009. "Do macroeconomic variables have regime-dependent effects on stock return dynamics? Evidence from the Markov regime switching model," Economic Modelling, Elsevier, vol. 26(6), pages 1283-1299, November.
    18. LeBaron, Blake, 2003. "Non-Linear Time Series Models in Empirical Finance,: Philip Hans Franses and Dick van Dijk, Cambridge University Press, Cambridge, 2000, 296 pp., Paperback, ISBN 0-521-77965-0, $33, [UK pound]22.95, [," International Journal of Forecasting, Elsevier, vol. 19(4), pages 751-752.
    19. Bekaert, Geert & Engstrom, Eric & Ermolov, Andrey, 2015. "Bad environments, good environments: A non-Gaussian asymmetric volatility model," Journal of Econometrics, Elsevier, vol. 186(1), pages 258-275.
    20. Bredin, Don & Fountas, Stilianos, 2018. "US inflation and inflation uncertainty over 200 years," Financial History Review, Cambridge University Press, vol. 25(2), pages 141-159, August.

    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
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • O56 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Oceania

    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:rba:rbardp:rdp9611. 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: Paula Drew (email available below). General contact details of provider: https://edirc.repec.org/data/rbagvau.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.