IDEAS home Printed from https://ideas.repec.org/p/rtv/ceisrp/83.html
   My bibliography  Save this paper

Measuring Core Inflation by Multivariate Structural Time Series Models

Author

Listed:
  • Tommaso Proietti

    (Università degli Studi di Udine - Dipartimento di Scienze Statistiche)

Abstract

The measurement of core inflation can be carried out by optimal signal extraction techniques based on the multivariate local level model, by imposing suitable restrictions on its parameters. The various restrictions correspond to several specialisations of the model:the core inflation measure becomes the optimal estimate of the common trend in a multivariate time series of inflation rates for a variety of goods and services, or it becomes a minimum variance linear combination of the inflation rates, or it represents the component generated by the common disturbances in a dynamic error component formulation of the multivariate local level model. Particular attention is given to the characterisation of the optimal weighting functions and to the design of signal extraction filters that can be viewed as two sided exponentially weighted moving averages applied to a cross-sectional average of individual inflation rates. An empirical application relative to U.S. monthly inflation rates for 8 expenditure categories is proposed.

Suggested Citation

  • Tommaso Proietti, 2006. "Measuring Core Inflation by Multivariate Structural Time Series Models," CEIS Research Paper 83, Tor Vergata University, CEIS.
    • Handle: RePEc:rtv:ceisrp:83
    as

    Download full text from publisher

    File URL: https://ceistorvergata.it/RePEc/rpaper/No-83.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andrew Harvey & Siem Jan Koopman, 2000. "Signal extraction and the formulation of unobserved components models," Econometrics Journal, Royal Economic Society, vol. 3(1), pages 84-107.
    2. Koopman, Siem Jan & Harvey, Andrew, 2003. "Computing observation weights for signal extraction and filtering," Journal of Economic Dynamics and Control, Elsevier, vol. 27(7), pages 1317-1333, May.
    3. Michael F. Bryan & Stephen G. Cecchetti, 1994. "Measuring Core Inflation," NBER Chapters, in: Monetary Policy, pages 195-219, National Bureau of Economic Research, Inc.
    4. Mark A. Wynne, 2008. "Core inflation: a review of some conceptual issues," Review, Federal Reserve Bank of St. Louis, vol. 90(May), pages 205-228.
    5. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    6. Michael F. Bryan & Stephen G. Cecchetti & Rodney L. Wiggins II, 1997. "Efficient Inflation Estimation," NBER Working Papers 6183, National Bureau of Economic Research, Inc.
    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. Terence C. Mills, 2013. "Constructing U.K. Core Inflation," Econometrics, MDPI, vol. 1(1), pages 1-21, April.

    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. Todd E. Clark, 2001. "Comparing measures of core inflation," Economic Review, Federal Reserve Bank of Kansas City, vol. 86(Q II), pages 5-31.
    2. Durai, S. Raja Sethu & Ramachandran, M., 2007. "Core inflation for India," Journal of Asian Economics, Elsevier, vol. 18(2), pages 365-383, April.
    3. Sandor Valkovszky & Janos Vincze, 2001. "Estimates of and Problems with Core Inflation in Hungary," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 1(1), pages 69-99.
    4. Pelinescu, Elena & Dospinescu, Andrei Silviu, 2008. "Alternative Measures of Core Inflation in Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 5(1), pages 134-148, March.
    5. Dowd, Kevin & Cotter, John & Loh, Lixia, 2011. "U.S. Core Inflation: A Wavelet Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 15(4), pages 513-536, September.
    6. Landau, Bettina, 2000. "Core inflation rates: a comparison of methods based on west German data," Discussion Paper Series 1: Economic Studies 2000,04, Deutsche Bundesbank.
    7. Marlene Amstad & Simon M. Potter & Robert W. Rich, 2017. "The New York Fed Staff Underlying Inflation Gauge (UIG)," Economic Policy Review, Federal Reserve Bank of New York, issue 23-2, pages 1-32.
    8. Juan‐Luis Vega & Mark A. Wynne, 2003. "A First Assessment of Some Measures of Core Inflation for the Euro Area," German Economic Review, Verein für Socialpolitik, vol. 4(3), pages 269-306, August.
    9. repec:bla:germec:v:4:y:2003:i::p:269-306 is not listed on IDEAS
    10. Dospinescu, Andrei Silviu, 2010. "Measuring Core Inflation in Romania Using the Dobrescu Method – A Comparative Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 308-319, July.
    11. Zelda Blignaut & Greg Farrell & Victor Munyama & Logan Rangasamy, 2009. "A Note On The Trimmed Mean Measure Of Core Inflation In South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 77(4), pages 538-552, December.
    12. Jinill Kim & Byung Kwun Ahn, 2012. "A New Measure for Core Inflation Based on Generalized Dynamic-Factor Model," Economic Analysis (Quarterly), Economic Research Institute, Bank of Korea, vol. 18(2), pages 1-28, June.
    13. Siem Jan Koopman & Marius Ooms & Irma Hindrayanto, 2009. "Periodic Unobserved Cycles in Seasonal Time Series with an Application to US Unemployment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 683-713, October.
    14. Proietti, Tommaso, 2007. "Signal extraction and filtering by linear semiparametric methods," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 935-958, October.
    15. Abdul Aleem & Amine Lahiani, 2011. "Estimation and evaluation of core inflation measures," Applied Economics, Taylor & Francis Journals, vol. 43(25), pages 3619-3629.
    16. Mick Silver, 2006. "Core Inflation Measures and Statistical Issues in Choosing Among Them," IMF Working Papers 2006/097, International Monetary Fund.
    17. Luc Aucremanne, 2000. "The use of robust estimators as measures of core inflation," Working Paper Research 02, National Bank of Belgium.
    18. Carlomagno, Guillermo & Fornero, Jorge & Sansone, Andrés, 2023. "A proposal for constructing and evaluating core inflation measures," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(3).
    19. Guillermo Carlomagno & Jorge Fornero & Andrés Sansone, 2021. "Toward a general framework for constructing and evaluating core inflation measures," Working Papers Central Bank of Chile 913, Central Bank of Chile.
    20. Tsyplakov Alexander, 2004. "Constructing Core Inflation Index for Russia," EERC Working Paper Series 04-04e, EERC Research Network, Russia and CIS.
    21. Shahiduzzaman, Md, 2009. "Measuring Core Inflation in Bangladesh: The Choice of Alternative Methods," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 32(1), pages 23-44, March.

    More about this item

    Keywords

    common trends; dynamic factor analysis; homogeneity; exponential smoothing;
    All these keywords.

    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:rtv:ceisrp:83. 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: Barbara Piazzi (email available below). General contact details of provider: https://edirc.repec.org/data/csrotit.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.