IDEAS home Printed from https://ideas.repec.org/p/iae/iaewps/wp2003n29.html
   My bibliography  Save this paper

The Role of the Unit of Analysis in Tax Policy Reform Evaluations

Author

Listed:
  • Lei Lei Song

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

Abstract

Many central banks often focus on underlying measures of inflation when assessing inflation trends. This paper compares the accuracy of underlying measures of inflation relative to the headline rates by using Australian data. It is found that the underlying measures did have smaller errors in predicting the long-term trend in inflation than the quarterly headline rate in the sample period 1977—2001 and the inflation targeting subperiod starting from 1993, due to the large volatility of the headline rate. As compared to the year-ended headline rate, the statistical test results , however, support only the measure of market prices excluding volatile items, not the others. There is some weak evidence of the weighted median measure outperforming the headline rate in the subperiod after 1993. With respect to directional accuracy, the test statistics cannot reject the null hypothesis of an equal probability correctly predicting the moving direction of the inflation trend, though the headline rates have a higher probability.

Suggested Citation

  • Lei Lei Song, 2003. "The Role of the Unit of Analysis in Tax Policy Reform Evaluations," Melbourne Institute Working Paper Series wp2003n29, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  • Handle: RePEc:iae:iaewps:wp2003n29
    as

    Download full text from publisher

    File URL: http://melbourneinstitute.unimelb.edu.au/downloads/working_paper_series/wp2003n29.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stephen G. Cecchetti & Erica L. Groshen, 2001. "Understanding Inflation: Implications for Monetary Policy," International Economic Association Series, in: Jacques Drèze (ed.), Advances in Macroeconomic Theory, chapter 7, pages 113-135, Palgrave Macmillan.
    2. 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.
    3. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    4. Stock, James H. & Watson, Mark W., 1999. "Forecasting inflation," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 293-335, October.
    5. Quah, Danny & Vahey, Shaun P, 1995. "Measuring Core Inflation?," Economic Journal, Royal Economic Society, vol. 105(432), pages 1130-1144, September.
    6. Robert Dixon & G.C. Lim, 2004. "Underlying Inflation in Australia: Are the Existing Measures Satisfactory?," The Economic Record, The Economic Society of Australia, vol. 80(251), pages 373-386, December.
    7. Boskin, Michael J, et al, 1997. "The CPI Commission: Findings and Recommendations," American Economic Review, American Economic Association, vol. 87(2), pages 78-83, May.
    8. Michael F. Bryan & Stephen G. Cecchetti, 1993. "The consumer price index as a measure of inflation," Economic Review, Federal Reserve Bank of Cleveland, vol. 29(Q IV), pages 15-24.
    9. Freeman, Donald G., 1998. "Do core inflation measures help forecast inflation?," Economics Letters, Elsevier, vol. 58(2), pages 143-147, February.
    10. Jonathan Kearns, 1998. "The Distribution and Measurement of Inflation," RBA Research Discussion Papers rdp9810, Reserve Bank of Australia.
    11. Stephen G. Cecchetti, 1997. "Measuring short-run inflation for central bankers," Review, Federal Reserve Bank of St. Louis, issue May, pages 143-155.
    12. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
    13. 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.
    14. Quah, Danny & Vahey, Shaun P, 1995. "Measuring Core Inflation?," Economic Journal, Royal Economic Society, vol. 105(432), pages 1130-1144, September.
    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. Rosanna Scutella, 2004. "Moves to a Basic Income-Flat Tax System in Australia: Implications for the Distribution of Income and Supply of Labour," Melbourne Institute Working Paper Series wp2004n05, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

    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. Lei Lei Song, 2005. "Do underlying measures of inflation outperform headline rates? Evidence from Australian data," Applied Economics, Taylor & Francis Journals, vol. 37(3), pages 339-345.
    2. Jamie Armour, 2006. "An Evaluation of Core Inflation Measures," Staff Working Papers 06-10, Bank of Canada.
    3. Mick Silver, 2006. "Core Inflation Measures and Statistical Issues in Choosing Among Them," IMF Working Papers 2006/097, International Monetary Fund.
    4. 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.
    5. 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.
    6. Riccardo Cristadoro & Giuseppe Saporito & Fabrizio Venditti, 2013. "Forecasting inflation and tracking monetary policy in the euro area: does national information help?," Empirical Economics, Springer, vol. 44(3), pages 1065-1086, June.
    7. 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.
    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. 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.
    10. Souvik Gupta & Mr. Magnus Saxegaard, 2009. "Measures of Underlying Inflation in Sri Lanka," IMF Working Papers 2009/167, International Monetary Fund.
    11. 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, pages 269-306, August.
    12. Riccardo Cristadoro & Mario Forni & Lucrezia Reichlin & Giovanni Veronese, 2001. "A core inflation index for the euro area," Temi di discussione (Economic working papers) 435, Bank of Italy, Economic Research and International Relations Area.
    13. Vega, Juan Luis & Wynne, Mark A., 2001. "An evaluation of some measures of core inflation for the euro area," Working Paper Series 0053, European Central Bank.
    14. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    15. Bermingham, Colin, 2010. "A critical assessment of existing estimates of US core inflation," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 993-1007, December.
    16. 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.
    17. Muhammad Nadim Hanif & Javaid Iqbal & Syed Hamza Ali & Muhammad Abdus Salam, 2020. "Denoised Inflation: A New Measure of Core Inflation," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(2), pages 131-154.
    18. Vega, Juan Luis & Wynne, Mark A., 2001. "An evaluation of some measures of core inflation for the euro area," Working Paper Series 53, European Central Bank.
    19. Gagik G. Aghajanyan, 2005. "Core inflation in a small transition country: choice of optimal measures," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 2(1), pages 83-110, June.
    20. Robalo Marques, Carlos & Duarte Neves, Pedro & Morais Sarmento, Luis, 2003. "Evaluating core inflation indicators," Economic Modelling, Elsevier, vol. 20(4), pages 765-775, July.

    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:iae:iaewps:wp2003n29. 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: Sheri Carnegie (email available below). General contact details of provider: https://edirc.repec.org/data/mimelau.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.