Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/fip/fedmqr/y1989ifallp3-18nv.13no.4.html
   My bibliography  Save this article

P*: not the inflation forecaster's holy grail

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://minneapolisfed.org/research/qr/qr1341.html
    Download Restriction: no
    File URL: http://minneapolisfed.org/research/qr/qr1341.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    4. Christopher A. Sims, 1989. "Modeling trends," Discussion Paper / Institute for Empirical Macroeconomics 22, Federal Reserve Bank of Minneapolis.
    5. 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.
    6. 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.
    7. 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.).
    8. John R. Walter, 1989. "Monetary aggregates: a user's guide," Economic Review, Federal Reserve Bank of Richmond, vol. 75(Jan), pages 20-28.
    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. 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..
    2. 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.
    3. Reynard, Samuel, 2007. "Maintaining low inflation: Money, interest rates, and policy stance," Journal of Monetary Economics, Elsevier, vol. 54(5), pages 1441-1471, July.
    4. 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.
    5. 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.
    6. 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.
    7. Lars E. O. Svensson, 2000. "Does the P* Model Provide Any Rationale for Monetary Targeting?," German Economic Review, Verein für Socialpolitik, vol. 1(1), pages 69-81, February.
    8. Hossein Hassani & Emmanuel Sirimal Silva, 2015. "A Kolmogorov-Smirnov Based Test for Comparing the Predictive Accuracy of Two Sets of Forecasts," Econometrics, MDPI, vol. 3(3), pages 1-20, August.
    9. 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.
    10. 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.
    11. Stefan Reitz & Jan-Christoph Rülke & Georg Stadtmann, 2009. "Are oil-price-forecasters finally right? – Regressive expectations towards more fundamental values of the oil price," WHU Working Paper Series - Economics Group 09-04, WHU - Otto Beisheim School of Management.
    12. 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.
    13. 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.
    14. Becsi, Zsolt & Duca, John V., 1994. "Adding bond funds to M2 in the P-Star model of inflation," Economics Letters, Elsevier, vol. 46(2), pages 143-147, October.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. Torre Cepeda Leonardo E. & Flores Segovia Miguel A., 2020. "Private Banking Credit and Economic Growth in Mexico: A State Level Panel Data Analysis 2005-2018," Working Papers 2020-17, Banco de México.
    20. Mariano, Roberto S. & Preve, Daniel, 2012. "Statistical tests for multiple forecast comparison," Journal of Econometrics, Elsevier, vol. 169(1), pages 123-130.
    21. 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.
    22. Garcés Díaz Daniel, 2020. "On the Drivers of Inflation in Different Monetary Regimes," Working Papers 2020-16, Banco de México.

    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. 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.
    2. Ogaki, Masao & Park, Joon Y., 1997. "A cointegration approach to estimating preference parameters," Journal of Econometrics, Elsevier, vol. 82(1), pages 107-134.
    3. Engel, Charles, 2000. "Long-run PPP may not hold after all," Journal of International Economics, Elsevier, vol. 51(2), pages 243-273, August.
    4. Murray, Christian J. & Nelson, Charles R., 2000. "The uncertain trend in U.S. GDP," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 79-95, August.
    5. Renelt, David, 1991. "Economic growth : a review of the theoretical and empirical literature," Policy Research Working Paper Series 678, The World Bank.
    6. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    7. Neuhoff, Daniel, 2015. "Dynamics of real per capita GDP," SFB 649 Discussion Papers 2015-039, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    8. Javier León & Carlos Oliva, 1992. "Componente no Estacionario y la Paridad del Poder de Compra en 12 Países Latinoamericanos," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 29(88), pages 481-504.
    9. Pecchenino, R. A. & Rasche, Robert H., 1990. "P* type models: Evaluation and forecasts," International Journal of Forecasting, Elsevier, vol. 6(3), pages 421-440, October.
    10. Luca Benati, 2005. "U.K. Monetary Regimes and Macroeconomic Stylised Facts," Computing in Economics and Finance 2005 107, Society for Computational Economics.
    11. repec:hum:wpaper:sfb649dp2015-039 is not listed on IDEAS
    12. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
    13. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
    14. Caporale, Guglielmo Maria & Hassapis, Christis & Pittis, Nikitas, 1998. "Unit roots and long-run causality: investigating the relationship between output, money and interest rates," Economic Modelling, Elsevier, vol. 15(1), pages 91-112, January.
    15. Cribari-Neto, Francisco, 1996. "On time series econometrics," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(Supplemen), pages 37-60.
    16. Jesús Fernández-Villaverde, 2008. "Horizons of Understanding: A Review of Ray Fair's Estimating How the Macroeconomy Works," Journal of Economic Literature, American Economic Association, vol. 46(3), pages 685-703, September.
    17. Roel van Elk & Marc van der Steeg & Dinand Webbink, 2013. "The effects of a special program for multi-problem school dropouts on educational enrolment, employment and criminal behaviour; Evidence from a field experiment," CPB Discussion Paper 241.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    18. Perron, Pierre, 1992. "Racines unitaires en macroéconomie : le cas d’une variable," L'Actualité Economique, Société Canadienne de Science Economique, vol. 68(1), pages 325-356, mars et j.
    19. Gil-Alana, L. A. & Robinson, P. M., 1997. "Testing of unit root and other nonstationary hypotheses in macroeconomic time series," Journal of Econometrics, Elsevier, vol. 80(2), pages 241-268, October.
    20. John Y. Campbell & Pierre Perron, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots," NBER Chapters, in: NBER Macroeconomics Annual 1991, Volume 6, pages 141-220, National Bureau of Economic Research, Inc.
    21. Diebold & Senhadji, "undated". "Deterministic vs. Stochastic Trend in U.S. GNP, Yet Again," Home Pages _054, University of Pennsylvania.

    More about this item

    Keywords

    Forecasting; Inflation (Finance);

    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:fip:fedmqr:y:1989:i:fall:p:3-18:n:v.13no.4. 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: Kate Hansel (email available below). General contact details of provider: https://edirc.repec.org/data/cfrbmus.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.