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How Deep are the Deep Parameters?

Author

Listed:
  • Filippo Altissimo
  • Stefano Siviero
  • Daniele Terlizzese

Abstract

Policy evaluation based on the estimation of dynamic stochastic general equilibrium models rests on the assumption that a representative agent can be identified, whose behavioural parameters are policy-independent. Building on earlier work by Geweke [1985], this paper shows that in the presence of agents' heterogenity the representative agent, if any, is not structural, as its estimated behavioural parameters are not policy-independent. The paper identifies two sources of non-structurality and provides an example illustrating its effects.

Suggested Citation

  • Filippo Altissimo & Stefano Siviero & Daniele Terlizzese, 2002. "How Deep are the Deep Parameters?," Annals of Economics and Statistics, GENES, issue 67-68, pages 207-226.
    • Handle: RePEc:adr:anecst:y:2002:i:67-68:p:207-226
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    File URL: http://www.jstor.org/stable/20076348
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    Cited by:

    1. Dolls, Mathias & Wittneben, Christian, 2017. "Dynamic Scoring of Tax Reforms in the EU," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168261, Verein für Socialpolitik / German Economic Association.
    2. Jesper Linde, 2002. "Monetary Policy Analysis in Backward-Looking Models," Annals of Economics and Statistics, GENES, issue 67-68, pages 155-182.
    3. Alexis Penot & Grégory Levieuge, 2009. "The Fed and the ECB: why such an apparent difference in reactivity?," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 1(4), pages 319-337, November.
    4. Salvador Barrios & Mathias Dolls & Anamaria Maftei & Andreas Peichl & Sara Riscado & Janos Varga & Christian Wittneben, 2019. "Dynamic Scoring Of Tax Reforms In The European Union," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 38(1), pages 239-262, January.
    5. Angeloni, Ignazio & Kashyap, Anil K. & Mojon, Benoît & Terlizzese, Daniele, 2003. "The output composition puzzle: a difference in the monetary transmission mechanism in the euro area and U.S," Working Paper Series 268, European Central Bank.
    6. Libero Monteforte & Stefano Siviero, 2010. "The economic consequences of euro-area macro-modelling shortcuts," Applied Economics, Taylor & Francis Journals, vol. 42(19), pages 2399-2415.
    7. Stefano Siviero & Daniele Terlizzese & Ignazio Visco, 1999. "Are model-based inflation forecasts used in monetary policymaking? A case study," Temi di discussione (Economic working papers) 357, Bank of Italy, Economic Research and International Relations Area.
    8. Hosoya, Kei, 2019. "Importance of a victim-oriented recovery policy after major disasters," Economic Modelling, Elsevier, vol. 78(C), pages 1-10.
    9. Libero Monteforte & Stefano Siviero, 2002. "The economic consequences of euro area modelling shortcuts," Temi di discussione (Economic working papers) 458, Bank of Italy, Economic Research and International Relations Area.

    More about this item

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

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