IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Measuring efficiency in the public sector using nonparametric frontier estimators: a study of transit agencies in the USA

  • J. F. Nolan
  • P. C. Ritchie
  • J. R. Rowcroft

Transit agencies in the USA must provide service under increasing operating constraints. Using data from 1989-1993, technical efficiency among these firms is estimated and characteristics indicative of differential efficiency in transit agencies are identified. This paper verifies the robustness of the second step regression results to the choice of efficiency measure by comparing results of the two step regressions using a pair of non-parametric efficiency estimators. It is discovered that the structure of government subsidy to this industry negatively affects not just cost efficiency, but technical efficiency as well. Furthermore, maintenance appears to be an important component of operational efficiency in this industry.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840122663
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 33 (2001)
Issue (Month): 7 ()
Pages: 913-922

as
in new window

Handle: RePEc:taf:applec:v:33:y:2001:i:7:p:913-922
Contact details of provider: Web page: http://www.tandfonline.com/RAEC20

Order Information: Web: http://www.tandfonline.com/pricing/journal/RAEC20

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:33:y:2001:i:7:p:913-922. 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: (Michael McNulty)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.