IDEAS home Printed from
   My bibliography  Save this paper

Panel data analysis of dentists’ activity under global budgeting in the presence of activityrelated non-response


  • Miaw-Chwen Lee
  • Andrew M Jones


This paper evaluates the impact of the introduction of global budgeting on dentists’ activity in Taiwan using a unique and rich panel dataset that was created specifically for the task. The panel data for 4424 dentists over 48 months, January 1997 to December 2000, was drawn from the BNHI’s data warehouse. The dataset has approximately 66% of dentists who are not observed over all periods. The paper examines the existence and consequences of unit nonresponse on estimates of the response of dentists’ activity to the introduction of global budgeting. It is based on the framework of selection on observables. We apply three techniques to assess the existence and magnitude of non-response bias: (1) probit models for non-response (2) variable addition tests (3) inverse probability weighting. The results show evidence of activity-related non-response. Non-response is concentrated among dentists with lower and unstable daily numbers of visits and with higher income. Non-response has substantial influence on the estimates of the mix of services provided to patients. The empirical results shed light on the emergence of a two-tier dental care system due to the introduction of global budgeting.

Suggested Citation

  • Miaw-Chwen Lee & Andrew M Jones, 2005. "Panel data analysis of dentists’ activity under global budgeting in the presence of activityrelated non-response," Health, Econometrics and Data Group (HEDG) Working Papers 05/06, HEDG, c/o Department of Economics, University of York.
  • Handle: RePEc:yor:hectdg:05/06

    Download full text from publisher

    File URL:
    File Function: Main text
    Download Restriction: no

    More about this item


    Dental care; global budgeting; unit non-response; attrition; panel data; selection on observables; inverse probability weighting; Taiwan;

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models


    Access and download statistics


    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:yor:hectdg:05/06. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jane Rawlings). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.