IDEAS home Printed from https://ideas.repec.org/a/eee/eecrev/v56y2012i2p246-262.html
   My bibliography  Save this article

Probability models and robust policy rules

Author

Listed:
  • Levine, Paul
  • McAdam, Peter
  • Pearlman, Joseph

Abstract

We consider Sims's (2008) argument that robust policy making requires that policy models be treated as “probability models”. In a welfare-based setting, we estimate by Bayesian methods a number of variants of a New Keynesian macroeconomic model and use both the model odds and posterior densities to design robust interest rate rules consisting of an inflation-forecast-based rule and a wage-targeting one. Each are shown to have distinct robustness qualities and distinct implications for the probability-models approach. To ensure feasible policy, we further impose that rules are stable, determinate and lower-bound compatible. Our results have important implications for the design, evaluation and analysis of the probability models approach to robust monetary policy making.

Suggested Citation

  • Levine, Paul & McAdam, Peter & Pearlman, Joseph, 2012. "Probability models and robust policy rules," European Economic Review, Elsevier, vol. 56(2), pages 246-262.
  • Handle: RePEc:eee:eecrev:v:56:y:2012:i:2:p:246-262 DOI: 10.1016/j.euroecorev.2011.08.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S001429211100081X
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Levine, Paul & McAdam, Peter & Pearlman, Joseph, 2008. "Quantifying and sustaining welfare gains from monetary commitment," Journal of Monetary Economics, Elsevier, vol. 55(7), pages 1253-1276, October.
    2. Schmitt-Grohe, Stephanie & Uribe, Martin, 2007. "Optimal simple and implementable monetary and fiscal rules," Journal of Monetary Economics, Elsevier, vol. 54(6), pages 1702-1725, September.
    3. Timothy Cogley & Thomas J. Sargent, 2005. "The conquest of US inflation: Learning and robustness to model uncertainty," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 528-563, April.
    4. Frankel, Jeffrey A & Rockett, Katharine E, 1988. "International Macroeconomic Policy Coordination When Policymakers Do Not Agree on the True Model," American Economic Review, American Economic Association, vol. 78(3), pages 318-340, June.
    5. Coenen, Günter & McAdam, Peter & Straub, Roland, 2008. "Tax reform and labour-market performance in the euro area: A simulation-based analysis using the New Area-Wide Model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(8), pages 2543-2583, August.
    6. Thanaset Chevapatrakul & Tae-Hwan Kim & Paul Mizen, 2009. "The Taylor Principle and Monetary Policy Approaching a Zero Bound on Nominal Rates: Quantile Regression Results for the United States and Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(8), pages 1705-1723, December.
    7. Alan Greenspan, 2004. "Risk and Uncertainty in Monetary Policy," American Economic Review, American Economic Association, vol. 94(2), pages 33-40, May.
    8. DavidG. Blanchflower & Chris Shadforth, 2009. "Fear, Unemployment and Migration," Economic Journal, Royal Economic Society, vol. 119(535), pages 136-182, February.
    9. Jess Benhabib & Stephanie Schmitt-Grohe & Martin Uribe, 2002. "Avoiding Liquidity Traps," Journal of Political Economy, University of Chicago Press, vol. 110(3), pages 535-563, June.
    10. Alexei Onatski & Noah Williams, 2003. "Modeling Model Uncertainty," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1087-1122, September.
    11. Coenen Günter & Orphanides Athanasios & Wieland Volker, 2004. "Price Stability and Monetary Policy Effectiveness when Nominal Interest Rates are Bounded at Zero," The B.E. Journal of Macroeconomics, De Gruyter, pages 1-25.
    12. Miguel A. León-Ledesma & Peter McAdam & Alpo Willman, 2010. "Identifying the Elasticity of Substitution with Biased Technical Change," American Economic Review, American Economic Association, pages 1330-1357.
    13. 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.
    14. Monacelli, Tommaso & Perotti, Roberto & Trigari, Antonella, 2010. "Unemployment fiscal multipliers," Journal of Monetary Economics, Elsevier, vol. 57(5), pages 531-553, July.
    15. Adam, Klaus & Billi, Roberto M., 2007. "Discretionary monetary policy and the zero lower bound on nominal interest rates," Journal of Monetary Economics, Elsevier, vol. 54(3), pages 728-752, April.
    16. Laurence Ball & David Romer, 1990. "Real Rigidities and the Non-Neutrality of Money," Review of Economic Studies, Oxford University Press, vol. 57(2), pages 183-203.
    17. Ramón Adalid & Günter Coenen & Peter McAdam & Stefano Siviero, 2005. "The Performance and Robustness of Interest-Rate Rules in Models of the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 1(1), May.
    18. Sims, Christopher A., 2008. "Improving monetary policy models," Journal of Economic Dynamics and Control, Elsevier, vol. 32(8), pages 2460-2475, August.
    19. Roberto Motto & Massimo Rostagno & Lawrence J. Christiano, 2010. "Financial Factors in Economic Fluctuations," 2010 Meeting Papers 141, Society for Economic Dynamics.
    20. Brock, William A. & Durlauf, Steven N. & West, Kenneth D., 2007. "Model uncertainty and policy evaluation: Some theory and empirics," Journal of Econometrics, Elsevier, vol. 136(2), pages 629-664, February.
    21. Christopher A. Sims, 2007. "Monetary Policy Models," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 38(2), pages 75-90.
    22. Nikolay Nenovsky & S. Statev, 2006. "Introduction," Post-Print halshs-00260898, HAL.
    23. M. Ruth & K. Donaghy & P. Kirshen, 2006. "Introduction," Chapters,in: Regional Climate Change and Variability, chapter 1 Edward Elgar Publishing.
    24. Christopher A. Sims, 2001. "Pitfalls of a Minimax Approach to Model Uncertainty," American Economic Review, American Economic Association, vol. 91(2), pages 51-54, May.
    25. William A. Brock & Steven N. Durlauf & Kenneth D. West, 2003. "Policy Evaluation in Uncertain Economic Environments," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, pages 235-322.
    26. Paul Levine & Joseph Pearlman & Richard Pierse, 2006. "Linear-Quadratic Approximation, Efficiency and Target-Implementability," Computing in Economics and Finance 2006 441, Society for Computational Economics.
    27. Gary Chamberlain, 2000. "Econometric applications of maxmin expected utility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 625-644.
    28. Denise Côté & John Kuszczak & Jean-Paul Lam & Ying Liu & Pierre St-Amant, 2004. "The performance and robustness of simple monetary policy rules in models of the Canadian economy," Canadian Journal of Economics, Canadian Economics Association, vol. 37(4), pages 978-998, November.
    29. Blanchard, Olivier Jean & Kahn, Charles M, 1980. "The Solution of Linear Difference Models under Rational Expectations," Econometrica, Econometric Society, vol. 48(5), pages 1305-1311, July.
    30. Ehrmann, Michael & Backé, Peter, 2003. "Monetary policy transmission in the euro area: any changes after EMU?," Working Paper Series 240, European Central Bank.
    31. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    32. Lars Peter Hansen & Thomas J. Sargent, 2007. "Introduction to Robustness," Introductory Chapters,in: Robustness Princeton University Press.
    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. Alexander Kriwoluzky & Christian A. Stoltenberg, 2016. "Nested Models and Model Uncertainty," Scandinavian Journal of Economics, Wiley Blackwell, vol. 118(2), pages 324-353, April.
    2. Cristiano Cantore & Paul Levine & Giovanni Melina, 2014. "A Fiscal Stimulus and Jobless Recovery," Scandinavian Journal of Economics, Wiley Blackwell, pages 669-701.
    3. João Ricardo Faria & Peter Mcadam, 2013. "Anticipation of Future Consumption: A Monetary Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(2-3), pages 423-447, March.
    4. Paul Levine, 2012. "Monetary policy in an uncertain world: probability models and the design of robust monetary rules," Indian Growth and Development Review, Emerald Group Publishing, vol. 5(1), pages 70-88, April.
    5. Cristiano Cantore & Vasco J. Gabriel & Paul Levine & Joseph Pearlman & Bo Yang, 2013. "The science and art of DSGE modelling: I – construction and Bayesian estimation," Chapters,in: Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 18, pages 411-440 Edward Elgar Publishing.
    6. Cristiano Cantore & Vasco J. Gabriel & Paul Levine & Joseph Pearlman & Bo Yang, 2013. "The science and art of DSGE modelling: II – model comparisons, model validation, policy analysis and general discussion," Chapters,in: Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 19, pages 441-463 Edward Elgar Publishing.

    More about this item

    Keywords

    Probability models; Interest-rate rules; Robustness; Bayes theorem; Structured uncertainty; Markov Chain Monte Carlo; Zero lower bound;

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • 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

    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:eee:eecrev:v:56:y:2012:i:2:p:246-262. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/eer .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.