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Testing a DSGE model of the EU using indirect inference

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  • David Meenagh
  • Patrick Minford
  • Michael Wickensy

Abstract

We use the method of indirect inference, using the bootstrap, to test the Smets and Wouters model of the EU against a VAR auxiliary equation describing their data; the test is based on the Wald statistic. We find that their model generates excessive variance compared with the data. If the errors are scaled down, then the original model marginally passes the Wald test. We compare a New Classical version of the model which passes the test but generates a combination of excessive inflation variance and inadequate output variance. If the large consumption and investment errors are removed as possibly due to low frequency events, then the New Classical version passes easily while the original version is strongly rejected.

Suggested Citation

  • David Meenagh & Patrick Minford & Michael Wickensy, 2007. "Testing a DSGE model of the EU using indirect inference," CDMA Conference Paper Series 0709, Centre for Dynamic Macroeconomic Analysis, revised Mar 2008.
  • Handle: RePEc:san:cdmacp:0709
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    Cited by:

    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. Meenagh, David & Minford, Patrick & Nowell, Eric & Sofat, Prakriti & Srinivasan, Naveen, 2009. "Can the facts of UK inflation persistence be explained by nominal rigidity?," Economic Modelling, Elsevier, vol. 26(5), pages 978-992, September.
    3. Minford, Patrick & Wickens, Michael R. & Davidson, James & Meenagh, David, 2010. "Why crises happen - nonstationary macroeconomics," CEPR Discussion Papers 8157, C.E.P.R. Discussion Papers.
    4. Patrick Minford, 2010. "The Banking Crisis: A Rational Interpretation," Political Studies Review, Political Studies Association, vol. 8(1), pages 40-54, January.

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    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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