Specification and estimation of nonstandard profit functions
Author
Abstract
Suggested Citation
DOI: 10.1007/s00181-006-0054-9
Download full text from publisher
As the access to this document is restricted, you may want to look for a different version below or
for a different version of it.Other versions of this item:
- Subal Khumbhakar, 2006. "Specification and estimation of nonstandard profit functions," Empirical Economics, Springer, vol. 31(1), pages 243-260, March.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Diego A. Restrepo-Tobón & Subal C. Kumbhakar, 2017. "A new method to decompose profit efficiency: an application to US commercial banks," Journal of Productivity Analysis, Springer, vol. 48(2), pages 117-132, December.
- Diego A. Restrepo-Tobón & Subal C. Kumbhakar, 2013. "Profit efficiency of U.S. commercial banks: a decomposition," Documentos de Trabajo de Valor Público 10939, Universidad EAFIT.
- Annika Herr & Hendrik Schmitz & Boris Augurzky, 2011. "Profit efficiency and ownership of German hospitals," Health Economics, John Wiley & Sons, Ltd., vol. 20(6), pages 660-674, June.
- Gerasimos T. Soldatos, 2020. "Technical inefficiency and output scale in banking and industry," Economics and Business Letters, Oviedo University Press, vol. 9(3), pages 270-278.
- Rudra Sensarma, 2008. "Deregulation, ownership and profit performance of banks: evidence from India," Applied Financial Economics, Taylor & Francis Journals, vol. 18(19), pages 1581-1595.
- Chaffai, Mohamed, 2020. "Hyperbolic distance function, technical efficiency and stability to shocks: A comparison between Islamic banks and conventional banks in MENA region," Global Finance Journal, Elsevier, vol. 46(C).
- Lukas Kwietniewski & Jonas Schreyögg, 2018. "Profit efficiency of physician practices: a stochastic frontier approach using panel data," Health Care Management Science, Springer, vol. 21(1), pages 76-86, March.
More about this item
JEL classification:
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
Statistics
Access and download statisticsCorrections
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:spr:empeco:v:31:y:2006:i:3:p:799-799. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/spr/empeco/v31y2006i3p799-799.html