IDEAS home Printed from https://ideas.repec.org/a/cup/hecopl/v6y2011i02p237-264_00.html
   My bibliography  Save this article

Cooperation and conflict between very similar occupations: the case of anesthesia

Author

Listed:
  • Kalist, David E.
  • Molinari, Noelle A.
  • Spurr, Stephen J.

Abstract

This article examines the features of a labor market in which there are two professional groups that both cooperate and directly compete with each other: certified registered nurse anesthetists (CRNAs) and anesthesiologists (MDAs). We examine how the relative numbers of these two types of anesthesia providers, and differences in regulation, affect the earnings of CRNAs, and the extent of supervision of CRNAs by MDAs. We find that both the earnings, and the likelihood of medical supervision of CRNAs, are closely determined by their market share. As the market share of CRNAs increases from 0% to 50%, the gains to MDAs from restricting competition increase; over this range the likelihood that CRNAs are supervised increases and their expected earnings decline. However, as the CRNAs’ market share increases beyond 50%, the costs to MDAs of anticompetitive measures become too large, therefore, the probability of supervision declines, and the earnings of CRNAs increase.

Suggested Citation

  • Kalist, David E. & Molinari, Noelle A. & Spurr, Stephen J., 2011. "Cooperation and conflict between very similar occupations: the case of anesthesia," Health Economics, Policy and Law, Cambridge University Press, vol. 6(2), pages 237-264, April.
    • Handle: RePEc:cup:hecopl:v:6:y:2011:i:02:p:237-264_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1744133110000162/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. Matthew D. Baird & Lindsay Daugherty & Krishna B. Kumar, 2017. "Improving Estimation of Labor Market Disequilibrium Through Inclusion of Shortage Indicators," Working Papers WR-1175, RAND Corporation.
    2. Baird, Matthew & Daugherty, Lindsay & Kumar, Krishna B., 2019. "Improving Estimation of Labor Market Disequilibrium Using Shortage Indicators, with an Application to the Market for Anesthesiologists," IZA Discussion Papers 12129, Institute of Labor Economics (IZA).
    3. Matthew Baird & Lindsay Daugherty & Krishna Kumar, 2017. "Improving Estimation of Labor Market Disequilibrium through Inclusion of Shortage Indicators," CINCH Working Paper Series 1701, Universitaet Duisburg-Essen, Competent in Competition and Health.

    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:hecopl:v:6:y:2011:i:02:p:237-264_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/hep .

    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.