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Testing DSGE models by Indirect inference and other methods: some Monte Carlo experiments

Using Monte Carlo experiments, we examine the performance of Indirect Inference tests of DSGE models, usually versions of the Smets-Wouters New Keynesian model of the US postwar period. We compare these with tests based on direct inference (using the Likelihood Ratio), and on the Del Negro–Schorfheide DSGE–VAR weight. We ?nd that the power of all three tests is substantial so that a false model will tend to be rejected by all three; but that the power of the indirect inference tests are by far the greatest, necessitating re-estimation by indirect inference to ensure that the model is tested in its fullest sense.

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Paper provided by Cardiff University, Cardiff Business School, Economics Section in its series Cardiff Economics Working Papers with number E2012/15.

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Length: 35 pages
Date of creation: Jun 2012
Date of revision:
Handle: RePEc:cdf:wpaper:2012/15
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  1. Le, Vo Phuong Mai & Minford, Patrick & Wickens, Michael, 2010. "The 'Puzzles' methodology: En route to Indirect Inference?," Economic Modelling, Elsevier, vol. 27(6), pages 1417-1428, November.
  2. Fabio Canova & Luca Sala, 2007. "Back to square one: identification issues in DSGE models," Banco de Espa�a Working Papers 0715, Banco de Espa�a.
  3. Smith, A A, Jr, 1993. "Estimating Nonlinear Time-Series Models Using Simulated Vector Autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages S63-84, Suppl. De.
  4. Chari, V V & Kehoe, Patrick J & McGrattan, Ellen R, 2002. "Can Sticky Price Models Generate Volatile and Persistent Real Exchange Rates?," Review of Economic Studies, Wiley Blackwell, vol. 69(3), pages 533-63, July.
  5. Davidson, James & Meenagh, David & Minford, Patrick & Wickens, Michael, 2010. "Why crises happen - nonstationary macroeconomics," Cardiff Economics Working Papers E2010/13, Cardiff University, Cardiff Business School, Economics Section.
  6. 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, 05.
  7. Mark W. Watson, 1991. "Measures of fit for calibrated models," Working Paper Series, Macroeconomic Issues 91-9, Federal Reserve Bank of Chicago.
  8. Le, Vo Phuong Mai & Minford, Patrick & Wickens, Michael, 2013. "A Monte Carlo procedure for checking identification in DSGE models," Cardiff Economics Working Papers E2013/4, Cardiff University, Cardiff Business School, Economics Section.
  9. 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.
  10. David N. DeJong & Chetan Dave, 2007. "Introduction to Structural Macroeconometrics
    [Structural Macroeconometrics]
    ," Introductory Chapters, Princeton University Press.
  11. Allan W. Gregory & Gregor W. Smith, 1991. "Calibration in Macroeconomics," Working Papers 826, Queen's University, Department of Economics.
  12. Le, Vo Phuong Mai & Meenagh, David & Minford, Patrick & Wickens, Michael, 2011. "How much nominal rigidity is there in the US economy? Testing a new Keynesian DSGE model using indirect inference," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2078-2104.
  13. Horowitz, Joel L., 2001. "The bootstrap and hypothesis tests in econometrics," Journal of Econometrics, Elsevier, vol. 100(1), pages 37-40, January.
  14. Bruce E. Hansen, 1999. "The Grid Bootstrap And The Autoregressive Model," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 594-607, November.
  15. Canova, Fabio, 1994. "Statistical Inference in Calibrated Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(S), pages S123-44, Suppl. De.
  16. 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.
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