IDEAS home Printed from https://ideas.repec.org/p/ide/wpaper/24704.html
   My bibliography  Save this paper

The possibility of ideological bias in structural macroeconomic models

Author

Listed:
  • Saint-Paul, Gilles

Abstract

An ideologically biased expert faces trade-offs in model design. The perceived model must be autocoherent—its use by all agents delivers a self-confirming equilibrium. Policy may be influenced by manipulating the Keynesian multiplier or the Phillips curve parameters. Ideological bias may arise in a way that resembles well-known historical controversies. A larger reported Keynesian multiplier is favored by more left-wing economists, as is a flatter inflation output trade-off. Some combinations of parameters must be truthfully revealed, illustrating the tight link between parameter identification and the scope for bias that is implied by the autocoherence conditions.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Saint-Paul, Gilles, 2011. "The possibility of ideological bias in structural macroeconomic models," IDEI Working Papers 679, Institut d'Économie Industrielle (IDEI), Toulouse.
  • Handle: RePEc:ide:wpaper:24704
    as

    Download full text from publisher

    File URL: http://idei.fr/sites/default/files/medias/doc/wp/2011/ideologicalbis.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    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. Javdani, Mohsen & Chang, Ha-Joon, 2019. "Who Said or What Said? Estimating Ideological Bias in Views Among Economists," IZA Discussion Papers 12738, Institute of Labor Economics (IZA).
    2. Mohsen Javdani & Ha-Joon Chang, 2023. "Who said or what said? Estimating ideological bias in views among economists," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 47(2), pages 309-339.
    3. Carsten Hefeker & Michael Neugart, 2019. "Policy Coordination Under Model Disagreement and Uncertainty," Open Economies Review, Springer, vol. 30(4), pages 719-737, September.
    4. Diaf, Sami & Döpke, Jörg & Fritsche, Ulrich & Rockenbach, Ida, 2022. "Sharks and minnows in a shoal of words: Measuring latent ideological positions based on text mining techniques," European Journal of Political Economy, Elsevier, vol. 75(C).
    5. Asatryan, Zareh & Havlik, Annika & Heinemann, Friedrich & Nover, Justus, 2020. "Biases in fiscal multiplier estimates," European Journal of Political Economy, Elsevier, vol. 63(C).

    More about this item

    Keywords

    Political Economy; Autocoherence; Experts; Macroeconomic modelling; Bias;
    All these keywords.

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ide:wpaper:24704. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/idtlsfr.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.