IDEAS home Printed from https://ideas.repec.org/a/kap/openec/v24y2013i4p717-730.html
   My bibliography  Save this article

Core Import Price Inflation in the United States

Author

Listed:
  • Janet Koech
  • Mark Wynne

Abstract

The cross-section distribution of U.S. import prices exhibits some of the fat-tailed characteristics that are well documented for the cross-section distribution of U.S. consumer prices. This suggests that limited-influence estimators of core import price inflation might outperform headline or traditional measures of core import price inflation. We examine whether limited influence estimators of core import price inflation help forecast overall import price inflation. They do not. However, limited influence estimators of core import price inflation do seem to have some predictive power for headline consumer price inflation in the medium term. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • Janet Koech & Mark Wynne, 2013. "Core Import Price Inflation in the United States," Open Economies Review, Springer, vol. 24(4), pages 717-730, September.
    • Handle: RePEc:kap:openec:v:24:y:2013:i:4:p:717-730
    DOI: 10.1007/s11079-012-9264-2
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11079-012-9264-2
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11079-012-9264-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Stock, James H. & Watson, Mark W., 1999. "Forecasting inflation," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 293-335, October.
    2. Antonello D'Agostino & Paolo Surico, 2009. "Does Global Liquidity Help to Forecast U.S. Inflation?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2-3), pages 479-489, March.
    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. repec:bla:germec:v:4:y:2003:i::p:269-306 is not listed on IDEAS
    5. A. W. Phillips, 1958. "The Relation Between Unemployment and the Rate of Change of Money Wage Rates in the United Kingdom, 1861–1957," Economica, London School of Economics and Political Science, vol. 25(100), pages 283-299, November.
    6. 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.
    7. Scott Roger, 1997. "A robust measure of core inflation in New Zealand, 1949-96," Reserve Bank of New Zealand Discussion Paper Series G97/7, Reserve Bank of New Zealand.
    8. Robert J. Gordon, 2011. "The History of the Phillips Curve: Consensus and Bifurcation," Economica, London School of Economics and Political Science, vol. 78(309), pages 10-50, January.
    9. Jim Dolmas, 2005. "Trimmed mean PCE inflation," Working Papers 0506, Federal Reserve Bank of Dallas.
    10. 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. Marcel Förster & Peter Tillmann, 2014. "Reconsidering the International Comovement of Inflation," Open Economies Review, Springer, vol. 25(5), pages 841-863, November.

    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. Castañeda, Juan Carlos & Chang, Rodrigo, 2023. "Evaluating core inflation measures: A statistical inference approach," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(4).
    2. Ivan Roberts, 2005. "Underlying Inflation: Concepts, Measurement and Performance," RBA Research Discussion Papers rdp2005-05, Reserve Bank of Australia.
    3. 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).
    4. 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.
    5. Marlene Amstad & Simon M. Potter, 2009. "Real time underlying inflation gauges for monetary policymakers," Staff Reports 420, Federal Reserve Bank of New York.
    6. 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.
    7. Abdul Aleem & Amine Lahiani, 2011. "Estimation and evaluation of core inflation measures," Applied Economics, Taylor & Francis Journals, vol. 43(25), pages 3619-3629.
    8. Mick Silver, 2006. "Core Inflation Measures and Statistical Issues in Choosing Among Them," IMF Working Papers 2006/097, International Monetary Fund.
    9. 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.
    10. Ferreira, Diego & Palma, Andreza Aparecida, 2015. "Forecasting Inflation with the Phillips Curve: A Dynamic Model Averaging Approach for Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 69(4), December.
    11. Brent Meyer & Guhan Venkatu, 2012. "Trimmed-mean inflation statistics: just hit the one in the middle," Working Papers (Old Series) 1217, Federal Reserve Bank of Cleveland.
    12. Marlene Amstad & Simon M. Potter & Robert W. Rich, 2014. "The FRBNY staff underlying inflation gauge: UIG," Staff Reports 672, Federal Reserve Bank of New York.
    13. Luc Aucremanne & Guy Brys & Peter J Rousseeuw & Anja Struyf & Mia Hubert, 2003. "Inflation, relative prices and nominal rigidities," BIS Papers chapters, in: Bank for International Settlements (ed.), Monetary policy in a changing environment, volume 19, pages 81-105, Bank for International Settlements.
    14. 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.
    15. Naresh Kumar Sharma & Motilal Bicchal & Caroline Elliott, 2015. "Measuring core inflation in India: An asymmetric trimmed mean approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1014252-101, December.
    16. Chletsos, Michael & Drosou, Vasiliki & Roupakias, Stelios, 2016. "Can Phillips curve explain the recent behavior of inflation? Further evidence from USA and Canada," The Journal of Economic Asymmetries, Elsevier, vol. 14(PA), pages 20-28.
    17. Laurence Ball & Sandeep Mazumder, 2011. "Inflation Dynamics and the Great Recession," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 42(1 (Spring), pages 337-405.
    18. Brent Meyer & Saeed Zaman, 2019. "The usefulness of the median CPI in Bayesian VARs used for macroeconomic forecasting and policy," Empirical Economics, Springer, vol. 57(2), pages 603-630, August.
    19. 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.
    20. Antoine Lalliard & Pierre-Antoine Robert, 2022. "A possible new indicator to measure core inflation in the euro area [Un nouvel indicateur possible pour mesurer l’inflation sous-jacente en zone euro]," Bulletin de la Banque de France, Banque de France, issue 240.

    More about this item

    Keywords

    Inflation forecasting; Trimmed mean inflation; Limited influence estimators; Core import prices; Core inflation; E31; E37;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

    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:kap:openec:v:24:y:2013:i:4:p:717-730. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.