IDEAS home Printed from https://ideas.repec.org/a/eee/jmacro/v25y2003i2p197-212.html
   My bibliography  Save this article

Measuring US core inflation: A common trends approach

Author

Listed:
  • Bagliano, Fabio C.
  • Morana, Claudio

Abstract

No abstract is available for this item.

Suggested Citation

  • Bagliano, Fabio C. & Morana, Claudio, 2003. "Measuring US core inflation: A common trends approach," Journal of Macroeconomics, Elsevier, vol. 25(2), pages 197-212, June.
  • Handle: RePEc:eee:jmacro:v:25:y:2003:i:2:p:197-212
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0164-0704(03)00025-9
    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. Mark A. Wynne, 2008. "Core inflation: a review of some conceptual issues," Review, Federal Reserve Bank of St. Louis, issue May, pages 205-228.
    2. 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.
    3. Quah, Danny & Vahey, Shaun P, 1995. "Measuring Core Inflation?," Economic Journal, Royal Economic Society, vol. 105(432), pages 1130-1144, September.
    4. Quah, Danny, 1992. "The Relative Importance of Permanent and Transitory Components: Identification and Some Theoretical Bounds," Econometrica, Econometric Society, vol. 60(1), pages 107-118, January.
    5. 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.
    6. Evans, George & Reichlin, Lucrezia, 1994. "Information, forecasts, and measurement of the business cycle," Journal of Monetary Economics, Elsevier, vol. 33(2), pages 233-254, April.
    7. Gonzalo, Jesus & Granger, Clive W J, 1995. "Estimation of Common Long-Memory Components in Cointegrated Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 27-35, January.
    8. King, Robert G. & Plosser, Charles I. & Stock, James H. & Watson, Mark W., 1991. "Stochastic Trends and Economic Fluctuations," American Economic Review, American Economic Association, vol. 81(4), pages 819-840, September.
    9. Stephen G. Cecchetti, 1997. "Measuring short-run inflation for central bankers," Review, Federal Reserve Bank of St. Louis, issue May, pages 143-155.
    10. Gert Wehinger, 2000. "Causes of Inflation in Europe, the United States and Japan: Some Lessons for Maintaining Price Stability in the EMU from a Structural VAR Approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 27(1), pages 83-107, March.
    11. Le Bihan, Herve & Sedillot, Franck, 2000. "Do core inflation measures help forecast inflation?: Out-of-sample evidence from French data," Economics Letters, Elsevier, vol. 69(3), pages 261-266, December.
    12. Crowder, William J., 1995. "The dynamic effects of aggregate demand and supply disturbances: Another look," Economics Letters, Elsevier, vol. 49(3), pages 231-237, September.
    13. Mellander, Erik & Vredin, A & Warne, A, 1992. "Stochastic Trends and Economic Fluctuations in a Small Open Economy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(4), pages 369-394, Oct.-Dec..
    14. Michael F. Bryan & Stephen G. Cecchetti, 1994. "Measuring Core Inflation," NBER Chapters,in: Monetary Policy, pages 195-219 National Bureau of Economic Research, Inc.
    15. Quah, Danny, 1995. "Misinterpreting the dynamic effects of aggregate demand and supply disturbances," Economics Letters, Elsevier, vol. 49(3), pages 247-250, September.
    16. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    17. Freeman, Donald G., 1998. "Do core inflation measures help forecast inflation?," Economics Letters, Elsevier, vol. 58(2), pages 143-147, 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. Juan José Echavarría Soto & Enrique López Enciso & Martha Misas Arango, 2008. "El tipo de cambio real de equilibrio en Colombia y su desalineamiento: estimación a través de un modelo SVEC," Investigación Conjunta-Joint Research,in: Centro de Estudios Monetarios Latinoamericanos (CEMLA) (ed.), Estimación y Uso de Variables no Observables en la Región, edition 1, volume 1, chapter 12, pages 365-395 Centro de Estudios Monetarios Latinoamericanos, CEMLA.
    2. Juan José Echavarría Soto & Enrique López Enciso & Martha Misas Arango, 2008. "La Tasa De Cambio Real De Equilibrio En Colombia Y Su Desalineamiento: Estimación A Través De Un Modelo Svec," ENSAYOS SOBRE POLÍTICA ECONÓMICA, BANCO DE LA REPÚBLICA - ESPE, vol. 26(57), pages 282-319, December.
    3. Edward N. Gamber & Julie K. Smith, 2016. "Time-series measures of core inflation," Working Papers 2016-008, The George Washington University, Department of Economics, Research Program on Forecasting.
    4. Durai, S. Raja Sethu & Ramachandran, M., 2007. "Core inflation for India," Journal of Asian Economics, Elsevier, vol. 18(2), pages 365-383, April.
    5. Peter Claeys, 2007. "Estimating the effects of fiscal policy under the budget constraint," IREA Working Papers 200715, University of Barcelona, Research Institute of Applied Economics, revised Jul 2007.
    6. Carlo Di Giorgio & Massimo Giannini, 2012. "A comparison of the Beveridge curve dynamics in Italy and USA," Empirical Economics, Springer, vol. 43(3), pages 945-983, December.
    7. Sartaj Rasool Rather & S. Raja Sethu Durai & M. Ramachandran, 2016. "On the Methodology of Measuring Core Inflation," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 45(2), pages 271-282, July.
    8. Juan José Echavarría Soto & Enrique López Enciso & Martha Misas Arango, 2008. "La Tasa De Cambio Real De Equilibrio En Colombia Y Su Desalineamiento: Estimación A Través De Un Modelo Svec," ENSAYOS SOBRE POLÍTICA ECONÓMICA, BANCO DE LA REPÚBLICA - ESPE, vol. 26(57), pages 282-319, December.
    9. Baillie, Richard T. & Morana, Claudio, 2012. "Adaptive ARFIMA models with applications to inflation," Economic Modelling, Elsevier, vol. 29(6), pages 2451-2459.
    10. Bhatt, Vipul & Kishor, N. Kundan, 2015. "Are all movements in food and energy prices transitory? Evidence from India," Journal of Policy Modeling, Elsevier, vol. 37(1), pages 92-106.
    11. Alan K. Detmeister, 2011. "The usefulness of core PCE inflation measures," Finance and Economics Discussion Series 2011-56, Board of Governors of the Federal Reserve System (U.S.).
    12. Abdul Aleem & Amine Lahiani, 2011. "Estimation and evaluation of core inflation measures," Applied Economics, Taylor & Francis Journals, vol. 43(25), pages 3619-3629.

    More about this item

    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:eee:jmacro:v:25:y:2003:i:2:p:197-212. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/inca/622617 .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.