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P*: not the inflation forecaster's holy grail

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  • Lawrence J. Christiano

Abstract

This paper describes and evaluates P-Star (P*), a new method to forecast inflation trends which was introduced by the Federal Reserve Board of Governors in the summer of 1989. The paper examines how well P* would have done, compared with eight other forecasting methods, had all of these methods been used to forecast inflation in the 1970s and 1980s. P* turns out to be not an exceptionally good or bad way to forecast inflation.

Suggested Citation

  • Lawrence J. Christiano, 1989. "P*: not the inflation forecaster's holy grail," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 13(Fall), pages 3-18.
  • Handle: RePEc:fip:fedmqr:y:1989:i:fall:p:3-18:n:v.13no.4
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    References listed on IDEAS

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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Lucas, Robert E, Jr, 1980. "Two Illustrations of the Quantity Theory of Money," American Economic Review, American Economic Association, vol. 70(5), pages 1005-1014, December.
    3. Cochrane, John H, 1988. "How Big Is the Random Walk in GNP?," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 893-920, October.
    4. Christopher A. Sims, 1989. "Modeling trends," Discussion Paper / Institute for Empirical Macroeconomics 22, Federal Reserve Bank of Minneapolis.
    5. Jeffrey J. Hallman & Richard D. Porter & David H. Small, 1989. "M2 per unit of potential GNP as an anchor for the price level," Staff Studies 157, Board of Governors of the Federal Reserve System (U.S.).
    6. Christiano, Lawrence J. & Eichenbaum, Martin, 1990. "Unit roots in real GNP: Do we know, and do we care?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 32(1), pages 7-61, January.
    7. John R. Walter, 1989. "Monetary aggregates: a user's guide," Economic Review, Federal Reserve Bank of Richmond, vol. 75(Jan), pages 20-28.
    8. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
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    Cited by:

    1. Gerlach, Stefan & Svensson, Lars E. O., 2003. "Money and inflation in the euro area: A case for monetary indicators?," Journal of Monetary Economics, Elsevier, vol. 50(8), pages 1649-1672, November.
    2. Clark, Todd E. & West, Kenneth D., 2006. "Using out-of-sample mean squared prediction errors to test the martingale difference hypothesis," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 155-186.
    3. Martin D. D. Evans & Richard K. Lyons, 2017. "Meese-Rogoff Redux: Micro-Based Exchange-Rate Forecasting," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 11, pages 457-475, World Scientific Publishing Co. Pte. Ltd..
    4. Hossein Hassani & Emmanuel Sirimal Silva, 2015. "A Kolmogorov-Smirnov Based Test for Comparing the Predictive Accuracy of Two Sets of Forecasts," Econometrics, MDPI, Open Access Journal, vol. 3(3), pages 1-20, August.
    5. Reynard, Samuel, 2007. "Maintaining low inflation: Money, interest rates, and policy stance," Journal of Monetary Economics, Elsevier, vol. 54(5), pages 1441-1471, July.
    6. Eric M. Leeper & Tao Zha, 2000. "Assessing simple policy rules: a view from a complete macro model," FRB Atlanta Working Paper 2000-19, Federal Reserve Bank of Atlanta.
    7. Lillian Kamal, 2014. "Do GAP Models Still have a Role to Play in Forecasting Inflation?," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 8(3), pages 1-12.
    8. Eric M. Leeper & Tao Zha, 2001. "Assessing simple policy rules: A view from a complete macroeconomic model," Economic Review, Federal Reserve Bank of Atlanta, vol. 86(Q4), pages 35-58.
    9. Reitz, Stefan & Ruelke, Jan & Stadtmann, Georg, 2009. "Are oil-price-forecasters finally right? -- Regressive expectations towards more fundamental values of the oil price," MPRA Paper 15607, University Library of Munich, Germany.
    10. Reitz Stefan & Rülke Jan-Christoph & Stadtmann Georg, 2010. "Regressive Oil Price Expectations Toward More Fundamental Values of the Oil Price," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(4), pages 454-466, August.
    11. Todd E. Clark & Kenneth D. West, 2005. "Using Out-of-Sample Mean Squared Prediction Errors to Test the Martingale Difference," NBER Technical Working Papers 0305, National Bureau of Economic Research, Inc.
    12. West, Kenneth D., 2006. "Forecast Evaluation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 3, pages 99-134, Elsevier.
    13. W A Razzak, 2002. "Monetary policy and forecasting inflation with and without the output gap," Reserve Bank of New Zealand Discussion Paper Series DP2002/03, Reserve Bank of New Zealand.
    14. Abdul Qayyum & Faiz Bilquees, 2005. "P-Star Model: A Leading Indicator of Inflation for Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 44(2), pages 117-129.
    15. Mujeri, Mustafa Kamal & Shahiduzzaman , Md & Islam, Md Ezazul, 2009. "Application of the P?Star Model for Measuring Inflationary Pressure in Bangladesh," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 32(1), pages 1-22, March.
    16. Eric M. Leeper & Tao Zha, 2001. "Assessing simple policy rules: a view from a complete macroeconomic model," Review, Federal Reserve Bank of St. Louis, vol. 83(Jul), pages 83-112.
    17. Jan Gottschalk & Susanne Bröck, 2000. "Inflationsprognosen für den Euro-Raum: wie gut sind P*-Modelle?," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 69(1), pages 69-89.
    18. Mariano, Roberto S. & Preve, Daniel, 2012. "Statistical tests for multiple forecast comparison," Journal of Econometrics, Elsevier, vol. 169(1), pages 123-130.
    19. Johannes Groeneveld, 1998. "From the ERM with Love: Monetary Spillover Effects to Austria," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 25(3), pages 331-345, January.

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    Keywords

    Forecasting; Inflation (Finance);

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