IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/84596.html
   My bibliography  Save this paper

Inflación Subyacente en la República Dominicana: Medición y Evaluación
[Core Inflation in the Dominican Republic: Measurement and Evaluation]

Author

Listed:
  • Jiménez Polanco, Miguel Alejandro
  • Ramírez de Leon, Francisco Alberto

Abstract

In this paper we compare the official core inflation measure, which is based on the ad hoc exclusion of specific items from the total CPI, against alternatives available in the literature on measurement of trend inflation. The evaluation is done through different criteria that adequate core inflation must display; i.e.: (1) less volatility relative to total inflation, (2) absence of bias related to total inflation and (3) predictive power on medium run inflation. Our results suggest that the official indicator delivers the desired properties. Moreover, it overcomes most of the alternative measures available in the literature.

Suggested Citation

  • Jiménez Polanco, Miguel Alejandro & Ramírez de Leon, Francisco Alberto, 2017. "Inflación Subyacente en la República Dominicana: Medición y Evaluación [Core Inflation in the Dominican Republic: Measurement and Evaluation]," MPRA Paper 84596, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:84596
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/84596/1/MPRA_paper_84596.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michael F. Bryan & Stephen G. Cecchetti, 1994. "Measuring Core Inflation," NBER Chapters, in: Monetary Policy, pages 195-219, National Bureau of Economic Research, Inc.
    2. Mikael Khan & Louis Morel & Patrick Sabourin, 2013. "The Common Component of CPI: An Alternative Measure of Underlying Inflation for Canada," Staff Working Papers 13-35, Bank of Canada.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. N. Neil K. Khettry & Loretta J. Mester, 2006. "Core inflation as a predictor of total inflation," Research Rap Special Report, Federal Reserve Bank of Philadelphia, issue Apr.
    3. Mio, Hitoshi, 2002. "Identifying Aggregate Demand and Aggregate Supply Components of Inflation Rate: A Structural Vector Autoregression Analysis for Japan," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 20(1), pages 33-56, January.
    4. 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.
    5. 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.
    6. Julie K. Smith, 2005. "Inflation targeting and core inflation," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 38(3), pages 1018-1036, August.
    7. Lei Lei Song, 2006. "The Comovement between Fuel Prices and the General Price level in Australia," Melbourne Institute Working Paper Series wp2006n17, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    8. Ribba, Antonio, 2003. "Permanent-transitory decompositions and traditional measures of core inflation," Economics Letters, Elsevier, vol. 81(1), pages 109-116, October.
    9. 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.
    10. 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.
    11. Andrew Harvey, 2011. "Modelling the Phillips curve with unobserved components," Applied Financial Economics, Taylor & Francis Journals, vol. 21(1-2), pages 7-17.
    12. Durai, S. Raja Sethu & Ramachandran, M., 2007. "Core inflation for India," Journal of Asian Economics, Elsevier, vol. 18(2), pages 365-383, April.
    13. Janet Koech & Mark Wynne, 2013. "Core Import Price Inflation in the United States," Open Economies Review, Springer, vol. 24(4), pages 717-730, September.
    14. Choi, Chi-Young & O'Sullivan, Róisín, 2013. "Heterogeneous response of disaggregate inflation to monetary policy regime change: The role of price stickiness," Journal of Economic Dynamics and Control, Elsevier, vol. 37(9), pages 1814-1832.
    15. Mr. James P Walsh, 2011. "Reconsidering the Role of Food Prices in Inflation," IMF Working Papers 2011/071, International Monetary Fund.
    16. Carlos Felipe Jaramillo & Edgar Caicedo & Adolfo Cobo & Andrés González & Munir Jalil & Juan Manuel Julio & Luis Fernando Melo, 1999. "La Inflación Básica en Colombia: Evaluación de Indicadores Alternativos," Borradores de Economia 136, Banco de la Republica de Colombia.
    17. Daniela Bragoli & Massimiliano Rigon & Francesco Zanetti, 2016. "Optimal Inflation Weights in the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 12(2), pages 357-383, June.
    18. Bodenstein, Martin & Erceg, Christopher J. & Guerrieri, Luca, 2008. "Optimal monetary policy with distinct core and headline inflation rates," Journal of Monetary Economics, Elsevier, vol. 55(Supplemen), pages 18-33, October.
    19. Javier Escobal & Marco Castillo del Castillo, 1994. "Sesgos en la medición de la inflación en contextos inflacionarios: El caso peruano," Documentos de Investigación dt21, Grupo de Análisis para el Desarrollo (GRADE).
    20. Angeloni, Ignazio & Faia, Ester & Winkler, Roland, 2014. "Exit strategies," European Economic Review, Elsevier, vol. 70(C), pages 231-257.

    More about this item

    Keywords

    Inflation; CPI; Core inflation;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

    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:pra:mprapa:84596. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.