IDEAS home Printed from https://ideas.repec.org/a/cup/apsrev/v89y1995i04p819-840_09.html
   My bibliography  Save this article

A Model of Muddling Through

Author

Listed:
  • Bendor, Jonathan

Abstract

As arguments about the effectiveness of “muddling through” have proven frustratingly inconclusive, incrementalism—once a major approach to the study of boundedly rational policy processes—has gone dormant. In an attempt to revitalize the debate, I present a formal model of muddling through. The model, by clarifying the logical structure of the informal theory, presents a clearer target for criticism. More importantly, it establishes numerous deductive results. First, some of Lindblom's less controversial conjectures—about the benefits of seriality (repeated attacks on the same policy problem) and redundancy (multiple decision makers working on the same problem)—turn out to be correct if conflict across policy domains is absent or takes certain specified forms. But given other empirically reasonable types of conflict, even these claims are wrong. Second, the advantages of incremental (local) policy search (Lindblom's best-known and most controversial claim) turn out to be still less well founded: in many empirically plausible contexts the claim is invalid.

Suggested Citation

  • Bendor, Jonathan, 1995. "A Model of Muddling Through," American Political Science Review, Cambridge University Press, vol. 89(4), pages 819-840, December.
  • Handle: RePEc:cup:apsrev:v:89:y:1995:i:04:p:819-840_09
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S0003055400098117/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Ash, Elliott & Morelli, Massimo & Vannoni, Matia, 2022. "More Laws, More Growth? Evidence from U.S. States," CEPR Discussion Papers 15629, C.E.P.R. Discussion Papers.
    2. Alberto Asquer & Inna Krachkovskaya, 2021. "Uncertainty, institutions and regulatory responses to emerging technologies: CRISPR Gene editing in the US and the EU (2012–2019)," Regulation & Governance, John Wiley & Sons, vol. 15(4), pages 1111-1127, October.
    3. Kollman, Ken & Miller, John H. & Page, Scott E., 1997. "Landscape formation in a spatial voting model," Economics Letters, Elsevier, vol. 55(1), pages 121-130, August.
    4. Martens, Rudy & Matthyssens, Paul & Vandenbempt, Koen, 2012. "Market strategy renewal as a dynamic incremental process," Journal of Business Research, Elsevier, vol. 65(6), pages 720-728.
    5. I. A. Antipin & N. Yu. Vlasova, 2020. "Incremental approach to regional strategising: Theory, methodology, practices," Journal of New Economy, Ural State University of Economics, vol. 21(3), pages 73-90, October.
    6. Sai Yayavaram & Sasanka Sekhar Chanda, 2023. "Decision making under high complexity: a computational model for the science of muddling through," Computational and Mathematical Organization Theory, Springer, vol. 29(2), pages 300-335, June.
    7. Bettis-Outland, Harriette, 2012. "Decision-making's impact on organizational learning and information overload," Journal of Business Research, Elsevier, vol. 65(6), pages 814-820.
    8. Wiek, Arnim & Walter, Alexander I., 2009. "A transdisciplinary approach for formalized integrated planning and decision-making in complex systems," European Journal of Operational Research, Elsevier, vol. 197(1), pages 360-370, August.

    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:cup:apsrev:v:89:y:1995:i:04:p:819-840_09. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/psr .

    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.