IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v38y2017i8p1071-1081.html
   My bibliography  Save this article

Efficiency of U.S. hospitals between 2001 and 2011

Author

Listed:
  • Jeong Hoon Choi
  • Sima M. Fortsch
  • Imsu Park
  • Ilyoung Jung

Abstract

This study focuses on finding the trend of efficiency in the healthcare industry in recent years. We applied stochastic frontier analysis and data envelopment analysis methods to capture the efficiency of 1,471 hospitals and found a sign of the Baumol effect, which is detected by the decreasing trend of hospital efficiency with increasing trend of labor costs. Furthermore, we compared the results of both approaches (stochastic frontier and data envelope analyses) in capturing efficiency scores and suggest the U‐shaped curve of the size effect may indicate the practice of “cream skimming” by some small hospitals.

Suggested Citation

  • Jeong Hoon Choi & Sima M. Fortsch & Imsu Park & Ilyoung Jung, 2017. "Efficiency of U.S. hospitals between 2001 and 2011," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 38(8), pages 1071-1081, December.
  • Handle: RePEc:wly:mgtdec:v:38:y:2017:i:8:p:1071-1081
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Hongliang Miao & Hui Zhou, 2023. "Evaluation of county-level economic efficiency and its spatiotemporal differentiation in Hohhot-Baotou-Ordos-Yulin urban agglomeration in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-15, December.
    2. Marwa Hasni & Safa Bhar Layeb & Najla Omrane Aissaoui & Aymen Mannai, 2022. "Hybrid model for a cross‐department efficiency evaluation in healthcare systems," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(5), pages 1311-1329, July.

    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:wly:mgtdec:v:38:y:2017:i:8:p:1071-1081. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    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.