IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpem/0403005.html
   My bibliography  Save this paper

Policy Makers Priors and Inflation Density Forecasts

Author

Listed:
  • Marco Vega

    (LSE & Central Bank of Peru)

Abstract

This paper models an inflation forecast density framework that closely resembles actual policy makers behaviour regarding the determination of the modal point, the uncertainty and asymmetry in the inflation forecasts. The framework combines policy makers prior information about these parameters with a standard parametric density estimation technique using Bayesian theory. The combination crucially hinges on an information-theoretic utility function gains of the policy maker from performing the forecast exercise.

Suggested Citation

  • Marco Vega, 2004. "Policy Makers Priors and Inflation Density Forecasts," Econometrics 0403005, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpem:0403005
    Note: Type of Document - pdf; pages: 32
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/em/papers/0403/0403005.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Neil R. Ericsson, 2001. "Forecast uncertainty in economic modeling," International Finance Discussion Papers 697, Board of Governors of the Federal Reserve System (U.S.).
    2. Svensson, Lars E. O., 1997. "Inflation forecast targeting: Implementing and monitoring inflation targets," European Economic Review, Elsevier, vol. 41(6), pages 1111-1146, June.
    3. Kilian, Lutz & Manganelli, Simone, 2003. "The Central Banker as a Risk Manager: Quantifying and Forecasting Inflation Risks," CEPR Discussion Papers 3918, C.E.P.R. Discussion Papers.
    4. Christopher A. Sims, 2002. "The Role of Models and Probabilities in the Monetary Policy Process," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 1-62.
    5. Svensson, Lars E. O., 1999. "Inflation targeting as a monetary policy rule," Journal of Monetary Economics, Elsevier, vol. 43(3), pages 607-654, June.
    6. C. A. E. Goodhart, 2001. "The Inflation Forecast," National Institute Economic Review, National Institute of Economic and Social Research, vol. 175(1), pages 59-66, January.
    7. Klaus Schmidt-Hebbel & Matías Tapia, 2002. "Monetary Policy Implementation and Results in Twenty Inflation-Targeting Countries," Working Papers Central Bank of Chile 166, Central Bank of Chile.
    8. John Geweke, 1999. "Using simulation methods for bayesian econometric models: inference, development,and communication," Econometric Reviews, Taylor & Francis Journals, vol. 18(1), pages 1-73.
    9. Wallis, Kenneth F., 2003. "Chi-squared tests of interval and density forecasts, and the Bank of England's fan charts," International Journal of Forecasting, Elsevier, vol. 19(2), pages 165-175.
    10. Schmidt-Hebbel, Klaus & Tapia, Matias, 2002. "Inflation targeting in Chile," The North American Journal of Economics and Finance, Elsevier, vol. 13(2), pages 125-146, August.
    11. repec:sae:niesru:v:167:y::i:1:p:106-112 is not listed on IDEAS
    12. Anthony Tay & Kenneth F. Wallis, 2000. "Density Forecasting: A Survey," Econometric Society World Congress 2000 Contributed Papers 0370, Econometric Society.
    13. Charles A. E. Goodhart, 2001. "Monetary transmission lags and the formulation of the policy decision on interest rates," Review, Federal Reserve Bank of St. Louis, vol. 83(Jul), pages 165-186.
    14. Kenneth F. Wallis, 1999. "Asymmetric density forecasts of inflation and the Bank of England's fan chart," National Institute Economic Review, National Institute of Economic and Social Research, vol. 167(1), pages 106-112, January.
    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. Juan Manuel Julio, 2005. "Implementacion, Uso e Interpretación del FAN CHART," Borradores de Economia 2815, Banco de la Republica.
    2. Mihaela Bratu, 2011. "The Assessement Of Uncertainty In Predictions Determined By The Variables Aggregation," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(13), pages 1-31.
    3. Juan Manuel Julio, 2005. "Implementación, Uso e Interpretación del "Fan Chart"," Borradores de Economia 346, Banco de la Republica de Colombia.
    4. Amparo Maset-Llaudes & Ana Mª Fuertes-Eugenio & Pilar Pardo-Forcadell, 2011. "Integrated Urban Regeneration: An Empirical Study Of The Normative Framework In Spanish Regions," ERSA conference papers ersa11p1781, European Regional Science Association.
    5. Mihaela Bratu, 2011. "Uncertainty of USA GDP Forecasts Determined by The Variables Aggregation," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 14(42), pages 25-46, December.
    6. Dong Jin Lee, 2009. "Testing Parameter Stability in Quantile Models: An Application to the U.S. Inflation Process," Working papers 2009-26, University of Connecticut, Department of Economics.
    7. Bratu Simionescu Mihaela, 2012. "Variables Aggregation-Source of Uncertainty in Forecasting," Scientific Annals of Economics and Business, Sciendo, vol. 59(2), pages 1-13, December.

    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. Christian Kascha & Francesco Ravazzolo, 2010. "Combining inflation density forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 231-250.
    2. Mohammed SAIFUL ISLAM & Mohammad Taslim UDDIN, 2011. "Inflation Targeting as the Monetary Policy Framework: Bangladesh Perspective," Economia. Seria Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 14(1), pages 106-119, June.
    3. Petra M. Geraats, 2006. "Transparency of Monetary Policy: Theory and Practice," CESifo Economic Studies, CESifo Group, vol. 52(1), pages 111-152, March.
    4. Vašíček, Bořek, 2012. "Is monetary policy in the new EU member states asymmetric?," Economic Systems, Elsevier, vol. 36(2), pages 235-263.
    5. Thorarinn G. Petursson, 2005. "Inflation Targeting and its Effects on Macroeconomic Performance," SUERF Studies, SUERF - The European Money and Finance Forum, number 2005/5 edited by Morten Balling, May.
    6. Lars E. O. Svensson, 2001. "Price Stability as a Target for Monetary Policy: Defining and Maintaining Price Stability," Palgrave Macmillan Books, in: Deutsche Bundesbank (ed.), The Monetary Transmission Process, chapter 2, pages 60-111, Palgrave Macmillan.
    7. Lars E. O. Svensson, 2005. "Targeting versus instrument rules for monetary policy: what is wrong with McCallum and Nelson?," Review, Federal Reserve Bank of St. Louis, vol. 87(Sep), pages 613-626.
    8. repec:udc:esteco:v:44:y:2017:i:2:p:97-124 is not listed on IDEAS
    9. Ibrahim AWAD, 2013. "Challenges For Adopting Inflation Targeting Regime In Egypt," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 11, pages 59-81, June.
    10. Koop, Gary & Onorante, Luca, 2011. "Estimating Phillips Curves in Turbulent Times using the ECB’s Survey of Professional Forecasters," SIRE Discussion Papers 2011-19, Scottish Institute for Research in Economics (SIRE).
    11. Tura-Gawron, Karolina, 2019. "Consumers’ approach to the credibility of the inflation forecasts published by central banks: A new methodological solution," Journal of Macroeconomics, Elsevier, vol. 62(C).
    12. Svensson, Lars E. O., 2002. "Inflation targeting: Should it be modeled as an instrument rule or a targeting rule?," European Economic Review, Elsevier, vol. 46(4-5), pages 771-780, May.
    13. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    14. Gary Koop & Luca Onorante, 2011. "Estimating Phillips Curves in Turbulent Times using the ECBs Survey of Professional Forecasters," Working Papers 1109, University of Strathclyde Business School, Department of Economics.
    15. Mr. Douglas Laxton & Mr. Andrew Berg & Mr. Philippe D Karam, 2006. "A Practical Model-Based Approach to Monetary Policy Analysis—Overview," IMF Working Papers 2006/080, International Monetary Fund.
    16. Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    17. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    18. Lars E. O. Svensson, 1999. "Monetary policy issues for the Eurosystem," Proceedings, Federal Reserve Bank of San Francisco.
    19. David Shepherd & Robert Dixon, 2008. "The Cyclical Dynamics and Volatility of Australian Output and Employment," The Economic Record, The Economic Society of Australia, vol. 84(264), pages 34-49, March.
    20. Carlo Altavilla, 2003. "Assessing monetary rules performance across EMU countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 8(2), pages 131-151.
    21. Bennett T. McCallum & Edward Nelson, 2004. "Timeless perspective vs. discretionary monetary policy in forward-looking models," Review, Federal Reserve Bank of St. Louis, vol. 86(Mar), pages 43-56.

    More about this item

    Keywords

    Monetary Policy; Inflation Targeting; Bayesian Methods;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    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:wpa:wuwpem:0403005. 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: EconWPA (email available below). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    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.