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Measurement with Some Theory: a New Approach to Evaluate Business Cycle Models (with appendices)

Author

Listed:
  • Fabio Canova
  • Matthias Paustian

Abstract

We propose a method to evaluate cyclical models which does not require knowledge of the DGP and the exact specification of the aggregate decision rules. We derive robust restrictions in a class of models; use some to identify structural shocks in the data and others to evaluate the class or contrast sub-models. The approach has good properties, even in small samples and when the likelihood is misspecified. We showhow to sort out the relevance of a certain friction (the presence of rule-of-thumb consumers) in a standard class of models.

Suggested Citation

  • Fabio Canova & Matthias Paustian, 2010. "Measurement with Some Theory: a New Approach to Evaluate Business Cycle Models (with appendices)," Working Papers 511, Barcelona School of Economics.
    • Handle: RePEc:bge:wpaper:511
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    File URL: https://www.barcelonagse.eu/sites/default/files/working_paper_pdfs/511.pdf
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    Citations

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    Cited by:

    1. Hristov, Nikolay & Hülsewig, Oliver & Wollmershäuser, Timo, 2014. "The interest rate pass-through in the Euro area during the global financial crisis," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 104-119.
    2. Renée Fry & Adrian Pagan, 2011. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 938-960, December.
    3. Michał Brzoza‐Brzezina & Marcin Kolasa, 2013. "Bayesian Evaluation of DSGE Models with Financial Frictions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(8), pages 1451-1476, December.
    4. Schenkelberg, Heike & Watzka, Sebastian, 2013. "Real effects of quantitative easing at the zero lower bound: Structural VAR-based evidence from Japan," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 327-357.
    5. Henzel, Steffen R. & Mayr, Johannes, 2013. "The mechanics of VAR forecast pooling—A DSGE model based Monte Carlo study," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 1-24.
    6. Tim Oliver Berg, 2015. "Technology News and the US Economy: Time Variation and Structural Changes," Scottish Journal of Political Economy, Scottish Economic Society, vol. 62(3), pages 227-263, July.
    7. Fabio Canova & Evi Pappa, 2011. "Fiscal policy, pricing frictions and monetary accommodation [Expansionary fiscal consolidations in Europe: New evidence]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 26(68), pages 555-598.
    8. Norhana Endut & James Morley & Pao-Lin Tien, 2018. "The changing transmission mechanism of US monetary policy," Empirical Economics, Springer, vol. 54(3), pages 959-987, May.
    9. Steffen Henzel & Johannes Mayr, 2009. "The Virtues of VAR Forecast Pooling – A DSGE Model Based Monte Carlo Study," ifo Working Paper Series 65, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    10. Valcarcel, Victor J. & Wohar, Mark E., 2013. "Changes in the oil price-inflation pass-through," Journal of Economics and Business, Elsevier, vol. 68(C), pages 24-42.

    More about this item

    Keywords

    sign restrictions; shock identification; model validation; misspecification;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • 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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