IDEAS home Printed from https://ideas.repec.org/h/spr/stpchp/978-3-030-55081-3_7.html
   My bibliography  Save this book chapter

A Congressional Theory of the Size of Government

In: Essays on Government Growth

Author

Listed:
  • Robi Ragan

    (Mercer University)

  • Sachin Khurana

    (Mercer University)

Abstract

In this paper, we examine the implications of the party cartel model of congressional policy making on the level of redistributional social welfare spending in the United States. The party cartel model predicts an inverse relationship between the level of spending on social welfare programs and median family income of the district that the median member of the majority party represents. Specifically, the higher the median district income of the median member of the majority party, the smaller the amount of social welfare spending Congress will allocate. To test this hypothesis, we estimate a random coefficients model using time series cross sectional data on congressional Budget Authorization for redistributional social welfare spending. We find that for each $1000 increase in median district income for the median member of the majority party, each redistributional Budget Authority sub-function decreases by an average of $489 million (for a total decrease of $3.91 billion overall). Therefore, the party cartel model appears to be a significant predictor of the level of income redistribution in the U.S.

Suggested Citation

  • Robi Ragan & Sachin Khurana, 2021. "A Congressional Theory of the Size of Government," Studies in Public Choice, in: Joshua Hall & Bryan Khoo (ed.), Essays on Government Growth, chapter 0, pages 129-143, Springer.
  • Handle: RePEc:spr:stpchp:978-3-030-55081-3_7
    DOI: 10.1007/978-3-030-55081-3_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:stpchp:978-3-030-55081-3_7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.