IDEAS home Printed from https://ideas.repec.org/p/bdi/wptemi/td_354_99.html
   My bibliography  Save this paper

How deep are the deep parameters?

Author

Listed:
  • Filippo Altissimo

    () (Bank of Italy, Economic Research Department)

  • Stefano Siviero

    () (Bank of Italy, Economic Research Department)

  • Daniele Terlizzese

    () (Bank of Italy, Economic Research Department)

Abstract

Policy evaluation based on the estimation of dynamic stochastic general equilibrium models with aggregate macroeconomic time series rests on the assumption that a representative agent can be identified, whose behavioural parameters are independent of the policy rules. Building on earlier work by Geweke, the main goal of this paper is to show that the representative agent is in general not structural, in the sense that its estimated behavioural parameters are not policyindependent. The paper identifies two different sources of nonstructurality. The latter is shown to be a fairly general feature of optimizing representative agent rational expectations models estimated on macroeconomic data.

Suggested Citation

  • Filippo Altissimo & Stefano Siviero & Daniele Terlizzese, 1999. "How deep are the deep parameters?," Temi di discussione (Economic working papers) 354, Bank of Italy, Economic Research and International Relations Area.
    • Handle: RePEc:bdi:wptemi:td_354_99
    as

    Download full text from publisher

    File URL: http://www.bancaditalia.it/pubblicazioni/temi-discussione/1999/1999-0354/tema_354_99.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Sargent, Thomas J, 1981. "Interpreting Economic Time Series," Journal of Political Economy, University of Chicago Press, vol. 89(2), pages 213-248, April.
    2. Alan P. Kirman, 1992. "Whom or What Does the Representative Individual Represent?," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 117-136, Spring.
    3. Hansen, Lars Peter & Sargent, Thomas J., 1980. "Formulating and estimating dynamic linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 7-46, May.
    4. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    5. Frank Hahn & Robert Solow, 1997. "A Critical Essay on Modern Macroeconomic Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 026258154x, January.
    6. Christopher A. Sims, 1982. "Policy Analysis with Econometric Models," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 13(1), pages 107-164.
    7. Malinvaud, Edmond, 1981. "Econometrics Faced with the Needs of Macroeconomic Policy," Econometrica, Econometric Society, vol. 49(6), pages 1363-1375, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jesper Linde, 2002. "Monetary Policy Analysis in Backward-Looking Models," Annals of Economics and Statistics, GENES, issue 67-68, pages 155-182.
    2. 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, vol. 1(4), pages 319-337, November.
    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, vol. 1(4), pages 319-337, November.
    4. Salvador Barrios & Mathias Dolls & Anamaria Maftei & Andreas Peichl & Sara Riscado & Janos Varga & Christian Wittneben, 2016. "Dynamic scoring of tax reforms in the European Union," JRC Working Papers on Taxation & Structural Reforms 2016-03, Joint Research Centre (Seville site).
    5. 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.
    6. Dolls, Mathias & Wittneben, Christian, 2017. "Dynamic Scoring of Tax Reforms in the EU," Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168261, Verein für Socialpolitik / German Economic Association.
    7. Siviero, S. & Terlizzese, D. & Visco, I., 1999. "Are Model-Based Inflation Forecasts Used in Monetary Policymaking? A Case Study," Papers 357, Banca Italia - Servizio di Studi.
    8. Ignazio Angeloni & Anil K. Kashyap & Benoit Mojon & Daniele Terlizzese, 2003. "The Output Composition Puzzle: A Difference in the Monetary Transmission Mechanism in the Euro Area and U.S," NBER Working Papers 9985, National Bureau of Economic Research, Inc.
    9. Fornari, F. & Pericoli, M., 2000. "Stock Values and Fundamentals: Link or Irrationality?," Papers 378, Banca Italia - Servizio di Studi.
    10. 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

    Keywords

    Structural models; Lucas Critique;

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bdi:wptemi:td_354_99. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/bdigvit.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.