IDEAS home Printed from https://ideas.repec.org/a/ecj/econjl/v105y1995i433p1609-21.html

Some Comments on the Role of Econometrics in Economic Theory

Author

Listed:
  • Eichenbaum, Martin

Abstract

The basic tension facing econometricians is that structural models are necessary for addressing monetary policy questions. But all models are, by their very nature, false. Econometric programs that focus on testing whether models are true will be ignored by practicing macroeconomists. The critical task facing econometricians is to develop diagnostic tools for assessing the usefulness of models for addressing particular questions. This article reviews two diagnostic strategies.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Eichenbaum, Martin, 1995. "Some Comments on the Role of Econometrics in Economic Theory," Economic Journal, Royal Economic Society, vol. 105(433), pages 1609-1621, November.
    • Handle: RePEc:ecj:econjl:v:105:y:1995:i:433:p:1609-21
    as

    Download full text from publisher

    File URL: http://links.jstor.org/sici?sici=0013-0133%28199511%29105%3A433%3C1609%3ASCOTRO%3E2.0.CO%3B2-J&origin=bc
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Jovanovic, Franck & Schinckus, Christophe, 2016. "Breaking down the barriers between econophysics and financial economics," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 256-266.
    2. Ausloos, Marcel & Jovanovic, Franck & Schinckus, Christophe, 2016. "On the “usual” misunderstandings between econophysics and finance: Some clarifications on modelling approaches and efficient market hypothesis," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 7-14.
    3. Jinho Choi & Juan Carlos Escanciano & Junjie Guo, 2022. "Generalized band spectrum estimation with an application to the New Keynesian Phillips curve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 1055-1078, August.
    4. Ormerod, Paul, 2002. "The US business cycle: power law scaling for interacting units with complex internal structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 314(1), pages 774-785.
    5. Berkowitz, Jeremy, 2001. "Generalized spectral estimation of the consumption-based asset pricing model," Journal of Econometrics, Elsevier, vol. 104(2), pages 269-288, September.
    6. Patrick Fève, 1997. "Les méthodes d'étalonnage au regard de l'économétrie," Revue Économique, Programme National Persée, vol. 48(3), pages 629-638.
    7. Chiarini, Bruno & Piselli, Paolo, 2001. "Identification and dimension of the NAIRU," Economic Modelling, Elsevier, vol. 18(4), pages 585-611, December.
    8. Pedro Garcia Duarte & Kevin D. Hoover, 2012. "Observing Shocks," History of Political Economy, Duke University Press, vol. 44(5), pages 226-249, Supplemen.
    9. Malley, Jim & Muscatelli, V. Anton, 1999. "Business cycles and productivity growth: Are temporary downturns productive or wasteful?," Research in Economics, Elsevier, vol. 53(4), pages 337-364, December.
    10. V. Pandit, 2008. "Structural Modeling under Challenge," Working Papers id:1622, eSocialSciences.
    11. Duo Qin, 2022. "Redirect the Probability Approach in Econometrics Towards PAC Learning," Working Papers 249, Department of Economics, SOAS University of London, UK.
    12. V. Pandit, 2001. "Structural Modelling Under Challenge," Working papers 98, Centre for Development Economics, Delhi School of Economics.
    13. Kevin Hoover & Katarina Juselius, 2012. "Experiments, Passive Observation and Scenario Analysis: Trygve Haavelmo and the Cointegrated Vector Autoregression," Discussion Papers 12-16, University of Copenhagen. Department of Economics.
    14. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034.
    15. Ossama Mikhail, 2005. "What Happens After A Technology Shock? A Bayesian Perspective," Macroeconomics 0510016, University Library of Munich, Germany.
    16. Tom Engsted & Jesper W. Schneider, 2024. "Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle: A Social Science Perspective," Foundations and Trends(R) in Econometrics, now publishers, vol. 13(1), pages 1-66, February.
    17. repec:osf:socarx:nztk8_v1 is not listed on IDEAS

    More about this item

    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:ecj:econjl:v:105:y:1995:i:433:p:1609-21. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley-Blackwell Digital Licensing or Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/resssea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.