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Structural estimation of the New-Keynesian model: A formal test of backward- and forward-looking behavior

  • Jang, Tae-Seok
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    This paper attempts to uncover the empirical relationship between the price-setting/consumer behavior and the sources of persistence in inflation and output. First, a small-scale New-Keynesian model (NKM) is examined using the method of moment and maximum likelihood estimators with US data from 1960 to 2007. Then a formal test compares the fit of two competing specifications in the New-Keynesian Phillips Curve (NKPC) and the IS equation; i.e. forward- or backward-looking behavior. Accordingly, the inclusion of a lagged term in the NKPC and the IS equation improves the fit of the model while offsetting the influence of inherited and extrinsic persistence; it is shown that intrinsic persistence plays a major role in approximating the inflation and output dynamics for the Great Inflation period. However, the null hypothesis cannot be rejected at the 5% level for the Great Moderation period; i.e. the purely forward-looking behavior of the NKM and its hybrid variant are equivalent. Monte Carlo experiments illustrate the validity of the chosen moment conditions and the finite sample properties of classical estimation methods. Finally, the performance of the formal test is analyzed using the Akaike's and the Bayesian information criterion.

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    File URL: http://econstor.eu/bitstream/10419/60198/1/719645263.pdf
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    Paper provided by Christian-Albrechts-University of Kiel, Department of Economics in its series Economics Working Papers with number 2012-07.

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    Date of creation: 2012
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    Handle: RePEc:zbw:cauewp:201207
    Contact details of provider: Postal: D-24098 Kiel,Wilhelm-Seelig-Platz 1
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    Web page: http://www.wiso.uni-kiel.de/econ/

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    1. Vadim Marmer & Taisuke Otsu, 2009. "Optimal Comparison of Misspecified Moment Restriction Models under a Chosen Measure of Fit," Cowles Foundation Discussion Papers 1724, Cowles Foundation for Research in Economics, Yale University, revised Jul 2011.
    2. James M. Nason & Gregor W. Smith, 2005. "Identifying the New Keynesian Phillips Curve," Working Papers 1026, Queen's University, Department of Economics.
    3. Jang, Tae-Seok & Sacht, Stephen, 2012. "Identification of Animal Spirits in a Bounded Rationality Model: An Application to the Euro Area," MPRA Paper 37399, University Library of Munich, Germany.
    4. Smets, Frank & Wouters, Raf, 2004. "Comparing shocks and frictions in US and euro area business cycles: a Bayesian DSGE approach," Working Paper Series 0391, European Central Bank.
    5. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules And Macroeconomic Stability: Evidence And Some Theory," The Quarterly Journal of Economics, MIT Press, vol. 115(1), pages 147-180, February.
    6. Hnatkovska, Viktoria & Marmer, Vadim & Tang, Yao, 2008. "Comparison of Misspecified Calibrated Models: The Minimum Distance Approach," Microeconomics.ca working papers vadim_marmer-2008-14, Vancouver School of Economics, revised 28 Sep 2011.
    7. Frank Smets & Raf Wouters, 2007. "Shocks and Frictions in US Business Cycles : a Bayesian DSGE Approach," Working Paper Research 109, National Bank of Belgium.
    8. Peter N. Ireland, 1999. "A Method for Taking Models to the Data," Boston College Working Papers in Economics 421, Boston College Department of Economics.
    9. Jeffery D. Amato & Thomas Laubach, 2001. "Implications of habit formation for optimal monetary policy," Finance and Economics Discussion Series 2001-58, Board of Governors of the Federal Reserve System (U.S.).
    10. Jeffrey C. Fuhrer, 2000. "Habit Formation in Consumption and Its Implications for Monetary-Policy Models," American Economic Review, American Economic Association, vol. 90(3), pages 367-390, June.
    11. Douglas Rivers & Quang Vuong, 2002. "Model selection tests for nonlinear dynamic models," Econometrics Journal, Royal Economic Society, vol. 5(1), pages 1-39, June.
    12. Gouriéroux, Christian & Monfort, Alain, 1995. "Testing, Encompassing, and Simulating Dynamic Econometric Models," Econometric Theory, Cambridge University Press, vol. 11(02), pages 195-228, February.
    13. Karl Whelan & Jeremy Rudd, 2003. "Can Rational Expectations Sticky-Price Models Explain Inflation Dynamics?," Computing in Economics and Finance 2003 181, Society for Computational Economics.
    14. Alastair Hall & Atsushi & James M Nason & Barbara Rossi, 2009. "Information Criteria For Impulse Response Function Matching Estimation Of Dsge Models," Working Papers 09-09, Duke University, Department of Economics.
    15. Gregory, Allan W & Smith, Gregor W, 1991. "Calibration as Testing: Inference in Simulated Macroeconomic Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 297-303, July.
    16. Carrillo, Julio & Fève, Patrick & Matheron, Julien, 2007. "Monetary Policy Inertia or Persistent Shocks: A DSGE Analysis," IDEI Working Papers 431, Institut d'Économie Industrielle (IDEI), Toulouse.
    17. Jeremy Rudd & Karl Whelan, 2001. "New tests of the New-Keynesian Phillips curve," Finance and Economics Discussion Series 2001-30, Board of Governors of the Federal Reserve System (U.S.).
    18. repec:att:wimass:9220 is not listed on IDEAS
    19. Newey, Whitney K & West, Kenneth D, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," Review of Economic Studies, Wiley Blackwell, vol. 61(4), pages 631-53, October.
    20. Hnatkovska, Viktoria & Marmer, Vadim & Tang, Yao, 2009. "Supplement to "Comparison of Misspecified Calibrated Models"," Microeconomics.ca working papers vadim_marmer-2009-58, Vancouver School of Economics, revised 03 Feb 2011.
    21. 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.
    22. Amato, Jeffery D. & Laubach, Thomas, 2003. "Rule-of-thumb behaviour and monetary policy," European Economic Review, Elsevier, vol. 47(5), pages 791-831, October.
    23. Rabanal, Pau & Rubio-Ramirez, Juan F., 2005. "Comparing New Keynesian models of the business cycle: A Bayesian approach," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1151-1166, September.
    24. 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.
    25. 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.
    26. Coenen, Günter, 2000. "Asymptotic confidence bands for the estimated autocovariance and autocorrelation functions of vector autoregressive models," Working Paper Series 0009, European Central Bank.
    27. Donald W.K. Andrews, 1988. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Cowles Foundation Discussion Papers 877R, Cowles Foundation for Research in Economics, Yale University, revised Jul 1989.
    28. 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.
    29. Dario Caldara & Jesus Fernandez-Villaverde & Juan Rubio-Ramirez & Wen Yao, 2012. "Computing DSGE Models with Recursive Preferences and Stochastic Volatility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(2), pages 188-206, April.
    30. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-33, March.
    31. Dridi, Ramdan & Guay, Alain & Renault, Eric, 2007. "Indirect inference and calibration of dynamic stochastic general equilibrium models," Journal of Econometrics, Elsevier, vol. 136(2), pages 397-430, February.
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