This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

On the choice of functional form in stochastic frontier modeling

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Konstantinos Giannakas
Kien C. Tran
Vangelis Tzouvelekas

Additional information is available for the following registered author(s):

Abstract

This paper examines the effect of functional form specification on the estimation of technical efficiency using a panel data set of 125 olive-growing farms in Greece for the period 1987–93. The generalized quadratic Box-Cox transformation is used to test the relative performance of alternative, widely used, functional forms and to examine the effect of prior choice on final efficiency estimates. Other than the functional specifications nested within the Box-Cox transformation, the comparative analysis includes the minflex Laurent translog and generalized Leontief that possess desirable approximation properties. The results indicate that technical efficiency measures are very sensitive to the choice of functional specification. Perhaps most importantly, the choice of functional form affects the identification of the factors affecting individual performance – the sources of technical inefficiency. The analysis also shows that while specification searches do narrow down the set of feasible alternatives, the identification of the most appropriate functional specification might not always be (statistically) feasible. Copyright Springer-Verlag Berlin Heidelberg 2003

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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://hdl.handle.net/10.1007/s001810100120
File Format: text/html
File Function:
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.

Publisher Info
Article provided by Springer in its journal Empirical Economics.

Volume (Year): 28 (2003)
Issue (Month): 1 (January)
Pages: 75-100
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:spr:empeco:v:28:y:2003:i:1:p:75-100

Contact details of provider:
Web page: http://link.springer.de/link/service/journals/00181/index.htm

Order Information:
Web: http://link.springer.de/orders.htm

For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Related research
Keywords: Key words: Stochastic frontiers; functional specifications; Box-Cox transformation; technical efficiency; Greek olive oil.; JEL Classification System Numbers: C12; C13; C23; C52; Q12;

Other versions of this item:

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
  1. Sauer, J.F., 2005. "“Efficiency Flooding”: Black-Box Frontiers and Policy Implications," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(1), pages 17-52. [Downloadable!]
  2. Kanybek Nur-tegin, 2007. "Do Transition Economies and Developing Countries Have Similar Destinies?," Atlantic Economic Journal, International Atlantic Economic Society, vol. 35(3), pages 327-342, September. [Downloadable!] (restricted)
  3. Konstantinos Giannakas & Kien C. Tran & Vangelis Tzouvelekas, 2003. "Predicting technical effciency in stochastic production frontier models in the presence of misspecification: a Monte-Carlo analysis," Applied Economics, Taylor and Francis Journals, vol. 35(2), pages 153-161, January. [Downloadable!] (restricted)
  4. Lambarraa, Fatima & Serra, Teresa & gil Roig, Jose Maria, 2006. "Technical efficiency analysis and decomposition of productivity growth of Spanish olive farms," 98th Seminar, June 29-July 2, 2006, Chania, Crete, Greece 10071, European Association of Agricultural Economists. [Downloadable!]
  5. Morteza Haghiri & James F. Nolan & Kien C. Tran, 2004. "Assessing the impact of economic liberalization across countries: a comparison of dairy industry efficiency in Canada and the USA," Applied Economics, Taylor and Francis Journals, vol. 36(11), pages 1233-1243, June. [Downloadable!] (restricted)
  6. Sanna-Mari Hynninen, 2009. "Matching in local labor markets: a stochastic frontier approach," Journal of Productivity Analysis, Springer, vol. 31(1), pages 15-26, February. [Downloadable!] (restricted)
  7. Monchuk, Daniel C. & Zhuo, Chen, 2008. "Explaining Production Inefficiency in China’s Agriculture using Data Envelope Analysis and Semi-Parametric Bootstrapping," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6456, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association). [Downloadable!]
  8. Ariel Dinar & Giannis Karagiannis & Vangelis Tzouvelekas, . "Evaluating the Impact of Public and Private Agricultural Extension on Farms Performance: A Non-neutral Stochastic Frontier Approach," Working Papers 0205, University of Crete, Department of Economics. [Downloadable!]
Statistics
Access and download statistics

Did you know? You too can volunteer for RePEc, for example by editing a NEP report.

This page was last updated on 2009-12-31.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.