IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v19y2012i1p99-104.html
   My bibliography  Save this article

The relationship between plan characteristics and Medicare Prescription Drug Plan bids

Author

Listed:
  • Rui Dai
  • John Robst

Abstract

This article assesses the relationship between plan characteristics and Medicare Prescription Drug Plan (PDP) bids. Medicare PDP information data are used to link plan and geographic data for stand-alone prescription drug plans participating in the Part D programme from 2006 to 2008 ( N = 5101). Firm fixed effects models are estimated to measure the relationship between plan characteristics including formularies, beneficiary cost sharing and utilization controls and PDP bids. Firm fixed effects models show a negative inelastic relationship between member cost sharing and plan bids. Among the utilization controls, only prior authorization is associated with lower bids. The use of quantity limits and step therapy is associated with higher bids, although this reflects their likely use for nonpreferred brand name medications. Bids are positively related to the number of preferred brand name medications and specialty medications covered, gap coverage of generics and brand name medications and the regional risk score. Lower bids are associated with higher deductibles and market size.

Suggested Citation

  • Rui Dai & John Robst, 2012. "The relationship between plan characteristics and Medicare Prescription Drug Plan bids," Applied Economics Letters, Taylor & Francis Journals, vol. 19(1), pages 99-104, January.
  • Handle: RePEc:taf:apeclt:v:19:y:2012:i:1:p:99-104
    DOI: 10.1080/13504851.2011.568385
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2011.568385
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504851.2011.568385?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:apeclt:v:19:y:2012:i:1:p:99-104. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.