IDEAS home Printed from https://ideas.repec.org/a/cup/polals/v13y2005i04p297-300_00.html
   My bibliography  Save this article

Introduction to the Special Issue

Author

Listed:
  • Kedar, Orit
  • Shively, W. Phillips

Abstract

The use of multilevel models—models in which lower-level (“micro”) units are nested within higher-level (“macro”) units—has blossomed recently in political science. Possible relationships in such models include macro variables influencing macro variables; micro variables influencing micro variables; macro variables influencing micro variables, and vice versa; and often most interestingly, micro-micro relationships varying interactively with macro variables. Most work in political science has drawn on the useful introductions of Raudenbush and Bryk (2002), Western (1998), and Steenbergen and Jones (2002). We refer readers to good general introductions/reviews of multi-level modeling in the articles in this issue by Bowers and Drake and by Franzese.

Suggested Citation

  • Kedar, Orit & Shively, W. Phillips, 2005. "Introduction to the Special Issue," Political Analysis, Cambridge University Press, vol. 13(4), pages 297-300.
    • Handle: RePEc:cup:polals:v:13:y:2005:i:04:p:297-300_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1047198700001157/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. Odelia Oshri & Tamir Sheafer & Shaul R Shenhav, 2016. "A community of values: Democratic identity formation in the European Union," European Union Politics, , vol. 17(1), pages 114-137, March.
    2. Jeffrey Milyo & David M. Primo & Matthew L. Jacobsmeier, 2006. "Estimating the Impact of State Policies and Institutions with Mixed-Level Data," Working Papers 0603, Department of Economics, University of Missouri.
    3. L. Bryan, Mark & P. Jenkins, Stephen, 2013. "Regression analysis of country effects using multilevel data: a cautionary tale," ISER Working Paper Series 2013-14, Institute for Social and Economic Research.
    4. Hug, Simon & Spörri, Franziska, 2011. "Referendums, trust, and tax evasion," European Journal of Political Economy, Elsevier, vol. 27(1), pages 120-131, March.
    5. Aleksey Oshchepkov & Anna Shirokanova, 2020. "Multilevel Modeling For Economists: Why, When And How," HSE Working papers WP BRP 233/EC/2020, National Research University Higher School of Economics.

    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:polals:v:13:y:2005:i:04:p:297-300_00. 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/pan .

    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.