IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Efficiency measurement in rotating panel data

Listed author(s):
  • Almas Heshmati

Rotating panel data are used with estimation of stochastic production frontier. The model can be viewed as a generalization of the regular production function estimation that accommodates technical inefficiency as well as firm heterogeneity. In particular, while estimating technical efficiency for each firm over time we control for firmspecific effects and separate them from technical inefficiency. Estimation of the model is considered in two steps. In the first step we estimate parameters of the underlying productionfunction using generalized least squares methodwhich are then used in the estimation of technical efficiency in the second step. As an empirical application we used rotating data on 1425 Swedish dairy farms observed during 1976-1988. The mean technical efficiency of these farms is found to be 94.5% and 16% of the farms are fully efficient. Evidence of technical regress about 1% per annum is observed during 1976 to 1984.

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:
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): 30 (1998)
Issue (Month): 7 ()
Pages: 919-930

in new window

Handle: RePEc:taf:applec:v:30:y:1998:i:7:p:919-930
DOI: 10.1080/000368498325354
Contact details of provider: Web page:

Order Information: Web:

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:30:y:1998:i:7:p:919-930. 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: (Chris Longhurst)

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.