IDEAS home Printed from https://ideas.repec.org/a/eee/ecofin/v31y2015icp126-154.html
   My bibliography  Save this article

Moment matching versus Bayesian estimation: Backward-looking behaviour in a New-Keynesian baseline model

Author

Listed:
  • Franke, Reiner
  • Jang, Tae-Seok
  • Sacht, Stephen

Abstract

The paper considers an elementary New-Keynesian three-equation model and compares its Bayesian estimation based on conventional priors to the results from the method of moments (MM), which seeks to match a finite set of the model-generated second moments of inflation, output and the interest rate to their empirical counterparts. It is found that in the Great Inflation (GI) period—though not quite in the Great Moderation (GM)—the two estimations imply a significantly different covariance structure. Regarding the parameters, special emphasis is placed on the degree of backward-looking behaviour in the Phillips curve. While, in line with much of the literature, it plays a minor role in the Bayesian estimations, MM yields values of the price indexation parameter close to or even at its maximal value of unity. For both GI and GM, these results are worth noticing since in (strong or, respectively, weak) contrast to the Bayesian parameters, the covariance matching thus achieved appears rather satisfactory.

Suggested Citation

  • Franke, Reiner & Jang, Tae-Seok & Sacht, Stephen, 2015. "Moment matching versus Bayesian estimation: Backward-looking behaviour in a New-Keynesian baseline model," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 126-154.
  • Handle: RePEc:eee:ecofin:v:31:y:2015:i:c:p:126-154
    DOI: 10.1016/j.najef.2014.11.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1062940814001156
    Download Restriction: Full text for ScienceDirect subscribers only

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. Patrick Fève & Julien Matheron & Jean-Guillaume Sahuc, 2010. "Inflation Target Shocks and Monetary Policy Inertia in the Euro Area," Economic Journal, Royal Economic Society, vol. 120(547), pages 1100-1124, September.
    2. De Grauwe, Paul, 2012. "Booms and busts in economic activity: A behavioral explanation," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 484-501.
    3. Fabrice Collard & Patrick Fève & François Langot & Corinne Perraudin, 2002. "A structural model of US aggregate job flows," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(3), pages 197-223.
    4. José-Víctor Ríos-Rull & Frank Schorfheide & Cristina Fuentes-Albero & Raul Santaeulalia-Llopis & Maxym Kryshko, 2009. "Methods versus substance: measuring the effects of technology shocks on hours," Staff Report 433, Federal Reserve Bank of Minneapolis.
    5. Glenn D. Rudebusch, 2006. "Monetary Policy Inertia: Fact or Fiction?," International Journal of Central Banking, International Journal of Central Banking, vol. 2(4), December.
    6. Benati, Luca, 2008. "Investigating inflation persistence across monetary regimes," Working Paper Series 851, European Central Bank.
    7. Binder,M. & Pesaran,H.M., 1995. "Multivariate Rational Expectations Models and Macroeconomic Modelling: A Review and Some New Results," Cambridge Working Papers in Economics 9415, Faculty of Economics, University of Cambridge.
    8. Peter N. Ireland, 2007. "Changes in the Federal Reserve's Inflation Target: Causes and Consequences," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(8), pages 1851-1882, December.
    9. Luca Benati, 2008. "Investigating Inflation Persistence Across Monetary Regimes," The Quarterly Journal of Economics, Oxford University Press, vol. 123(3), pages 1005-1060.
    10. Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, Oxford University Press, vol. 113(3), pages 869-902.
    11. Jeffrey C. Fuhrer, 2006. "Intrinsic and Inherited Inflation Persistence," International Journal of Central Banking, International Journal of Central Banking, vol. 2(3), September.
    12. Mesonnier, Jean-Stephane & Renne, Jean-Paul, 2007. "A time-varying "natural" rate of interest for the euro area," European Economic Review, Elsevier, vol. 51(7), pages 1768-1784, October.
    13. Christiano, Lawrence J. & Vigfusson, Robert J., 2003. "Maximum likelihood in the frequency domain: the importance of time-to-plan," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 789-815, May.
    14. Lee, Bong-Soo & Ingram, Beth Fisher, 1991. "Simulation estimation of time-series models," Journal of Econometrics, Elsevier, vol. 47(2-3), pages 197-205, February.
    15. Jeremy Rudd & Karl Whelan, 2007. "Modeling Inflation Dynamics: A Critical Review of Recent Research," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 155-170, February.
    16. Jonsson, Gunnar & Klein, Paul, 1996. "Stochastic fiscal policy and the Swedish business cycle," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 245-268, October.
    17. Castelnuovo, Efrem, 2010. "Trend inflation and macroeconomic volatilities in the post-WWII U.S. economy," The North American Journal of Economics and Finance, Elsevier, vol. 21(1), pages 19-33, March.
    18. Timothy Cogley & Giorgio E. Primiceri & Thomas J. Sargent, 2010. "Inflation-Gap Persistence in the US," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 43-69, January.
    19. Lubik, Thomas A. & Schorfheide, Frank, 2007. "Do central banks respond to exchange rate movements? A structural investigation," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1069-1087, May.
    20. Linde, Jesper, 2005. "Estimating New-Keynesian Phillips curves: A full information maximum likelihood approach," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1135-1149, September.
    21. Sacht, Stephen, 2014. "Identification of prior information via moment-matching," Economics Working Papers 2014-04, Christian-Albrechts-University of Kiel, Department of Economics.
    22. David Altig & Lawrence Christiano & Martin Eichenbaum & Jesper Linde, 2011. "Firm-Specific Capital, Nominal Rigidities and the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(2), pages 225-247, April.
    23. Del Negro, Marco & Schorfheide, Frank & Smets, Frank & Wouters, Rafael, 2007. "On the Fit of New Keynesian Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 123-143, April.
    24. Rudebusch, Glenn D., 2002. "Term structure evidence on interest rate smoothing and monetary policy inertia," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1161-1187, September.
    25. Steffen Ahrens & Stephen Sacht, 2014. "Estimating a high-frequency New-Keynesian Phillips curve," Empirical Economics, Springer, vol. 46(2), pages 607-628, March.
    26. Goffe, William L. & Ferrier, Gary D. & Rogers, John, 1994. "Global optimization of statistical functions with simulated annealing," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 65-99.
    27. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    28. Hairault, Jean-Olivier & Langot, Francois & Portier, Franck, 1997. "Time to implement and aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 22(1), pages 109-121, November.
    29. Sanvi Avouyi-Dovi & Julien Matheron, 2007. "Technology Shocks and Monetary Policy: Revisiting the Fed's Performance," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2-3), pages 471-507, March.
    30. Jean Boivin & Marc P. Giannoni, 2006. "Has Monetary Policy Become More Effective?," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 445-462, August.
    31. Belke, Ansgar H. & Bordon, Ingo G. & Hendricks, Torben W., 2014. "Monetary policy, global liquidity and commodity price dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 1-16.
    32. Karamé, Frédéric & Patureau, Lise & Sopraseuth, Thepthida, 2008. "Limited participation and exchange rate dynamics: Does theory meet the data?," Journal of Economic Dynamics and Control, Elsevier, vol. 32(4), pages 1041-1087, April.
    33. Ruge-Murcia, Francisco, 2012. "Estimating nonlinear DSGE models by the simulated method of moments: With an application to business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 36(6), pages 914-938.
    34. Luca Benati & Paolo Surico, 2009. "VAR Analysis and the Great Moderation," American Economic Review, American Economic Association, vol. 99(4), pages 1636-1652, September.
    35. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    36. Kim, Jinill & Ruge-Murcia, Francisco J., 2011. "Monetary policy when wages are downwardly rigid: Friedman meets Tobin," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2064-2077.
    37. Matheron, Julien & Poilly, Céline, 2009. "How well does a small structural model with sticky prices and wages fit postwar U.S. data?," Economic Modelling, Elsevier, vol. 26(1), pages 266-284, January.
    38. Thomas A. Lubik & Frank Schorfheide, 2004. "Testing for Indeterminacy: An Application to U.S. Monetary Policy," American Economic Review, American Economic Association, vol. 94(1), pages 190-217, March.
    39. Julio Rotemberg & Michael Woodford, 1997. "An Optimization-Based Econometric Framework for the Evaluation of Monetary Policy," NBER Chapters,in: NBER Macroeconomics Annual 1997, Volume 12, pages 297-361 National Bureau of Economic Research, Inc.
    40. Salemi, Michael K., 2006. "Econometric Policy Evaluation and Inverse Control," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(7), pages 1737-1764, October.
    41. Sheedy, Kevin D., 2010. "Intrinsic inflation persistence," Journal of Monetary Economics, Elsevier, vol. 57(8), pages 1049-1061, November.
    42. Henzel, Steffen & Hülsewig, Oliver & Mayer, Eric & Wollmershäuser, Timo, 2009. "The price puzzle revisited: Can the cost channel explain a rise in inflation after a monetary policy shock?," Journal of Macroeconomics, Elsevier, vol. 31(2), pages 268-289, June.
    43. Hülsewig, Oliver & Mayer, Eric & Wollmershäuser, Timo, 2009. "Bank behavior, incomplete interest rate pass-through, and the cost channel of monetary policy transmission," Economic Modelling, Elsevier, vol. 26(6), pages 1310-1327, November.
    44. Frank Schorfheide, 2005. "Learning and Monetary Policy Shifts," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 392-419, April.
    45. Cho, Seonghoon & Moreno, Antonio, 2006. "A Small-Sample Study of the New-Keynesian Macro Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(6), pages 1461-1481, September.
    46. Hnatkovska, Viktoria & Marmer, Vadim & Tang, Yao, 2012. "Comparison of misspecified calibrated models: The minimum distance approach," Journal of Econometrics, Elsevier, vol. 169(1), pages 131-138.
    47. Adolfson, Malin & Laseen, Stefan & Linde, Jesper & Villani, Mattias, 2007. "Bayesian estimation of an open economy DSGE model with incomplete pass-through," Journal of International Economics, Elsevier, vol. 72(2), pages 481-511, July.
    48. Marco Del Negro & Frank Schorfheide, 2004. "Priors from General Equilibrium Models for VARS," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 643-673, May.
    49. Wen, Yi, 1998. "Can a real business cycle model pass the Watson test?," Journal of Monetary Economics, Elsevier, vol. 42(1), pages 185-203, June.
    50. 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.
    51. Ida, Daisuke, 2013. "Optimal monetary policy rules in a two-country economy with a zero bound on nominal interest rates," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 223-242.
    52. Frank Schorfheide, 2008. "DSGE model-based estimation of the New Keynesian Phillips curve," Economic Quarterly, Federal Reserve Bank of Richmond, issue Fall, pages 397-433.
    53. Franke, Reiner & Jang, Tae-Seok & Sacht, Stephen, 2011. "Moment matching versus Bayesian estimation: Backward-looking behaviour in the new-Keynesian three-equations model," Economics Working Papers 2011-10, Christian-Albrechts-University of Kiel, Department of Economics.
    54. Fabio Milani, 2012. "The Modeling of Expectations in Empirical DSGE Models: a Survey," Working Papers 121301, University of California-Irvine, Department of Economics.
    55. Ambler, Steve & Guay, Alain & Phaneuf, Louis, 2012. "Endogenous business cycle propagation and the persistence problem: The role of labor-market frictions," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 47-62.
    56. Goffe William L., 1996. "SIMANN: A Global Optimization Algorithm using Simulated Annealing," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 1(3), pages 1-9, October.
    57. Gorodnichenko, Yuriy & Ng, Serena, 2010. "Estimation of DSGE models when the data are persistent," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 325-340, April.
    58. Franke Reiner, 2012. "Microfounded Animal Spirits in the New Macroeconomic Consensus," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(4), pages 1-41, October.
    59. Timothy Cogley & Argia M. Sbordone, 2008. "Trend Inflation, Indexation, and Inflation Persistence in the New Keynesian Phillips Curve," American Economic Review, American Economic Association, vol. 98(5), pages 2101-2126, December.
    60. repec:dau:papers:123456789/5491 is not listed on IDEAS
    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. Jang, Tae-Seok & Sacht, Stephen, 2012. "Identification of animal spirits in a bounded rationality model: An application to the euro area," Kiel Working Papers 1798, Kiel Institute for the World Economy (IfW).
    2. Jang, Tae-Seok & Sacht, Stephen, 2017. "Modeling consumer confidence and its role for expectation formation: A horse race," Economics Working Papers 2017-04, Christian-Albrechts-University of Kiel, Department of Economics.
    3. Tae-Seok Jang & Stephen Sacht, 2016. "Animal Spirits and the Business Cycle: Empirical Evidence from Moment Matching," Metroeconomica, Wiley Blackwell, vol. 67(1), pages 76-113, February.
    4. Sacht, Stephen, 2014. "Identification of prior information via moment-matching," Economics Working Papers 2014-04, Christian-Albrechts-University of Kiel, Department of Economics.

    More about this item

    Keywords

    Autocovariance profiles; Inflation persistence; Goodness-of-fit; Price indexation;

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

    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:ecofin:v:31:y:2015:i:c:p:126-154. 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/inca/620163 .

    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.