Estimation of a Doubly Heteroscedastic Stochastic Frontier Cost Function
AbstractThis article extends the results obtained by S. B. Caudill, J. M. Ford, and D. M. Gropper (1995) in estimating and testing stochastic frontier cost functions in the presence of heteroskedastic inefficiency using cross-section data. It suggests the estimation of the model under the assumption of heteroskedasticity in both random terms. This avoids any possible misspecification bias and the use of incorrect tests. The same data as used by Caudill, Ford, and Gropper supports the new specification. Moreover, the author finds that firm-specific inefficiency measures are extremely sensitive to the proposed correction for heteroskedasticity.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoArticle provided by American Statistical Association in its journal Journal of Business and Economic Statistics.
Volume (Year): 17 (1999)
Issue (Month): 3 (July)
Contact details of provider:
Web page: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Shinji Yane & Sanford Berg, 2013.
"Sensitivity analysis of efficiency rankings to distributional assumptions: applications to Japanese water utilities,"
Taylor and Francis Journals, vol. 45(17), pages 2337-2348, June.
- Yane, Shinji & Berg, Sanford, 2011. "Sensitivity analysis of efficiency rankings to distributional assumptions: applications to Japanese water utilities," MPRA Paper 32892, University Library of Munich, Germany.
- Sensarma, Rudra, 2006. "Are foreign banks always the best? Comparison of state-owned, private and foreign banks in India," Economic Modelling, Elsevier, vol. 23(4), pages 717-735, July.
- Andor, Mark & Hesse, Frederik, 2012. "The StoNED age: The departure into a new era of efficiency analysis? An MC study comparing StoNED and the "oldies" (SFA and DEA)," CAWM Discussion Papers 60, Center of Applied Economic Research Münster (CAWM), University of Münster.
- Konstantinos Giannakas & Kien 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.
- Mark Andor & Frederik Hesse, . "The StoNED age: The Departure Into a New Era of Efficiency Analysis? An MC study Comparing StoNED and the "Oldies" (SFA and DEA)," Working Papers 201285, Institute of Spatial and Housing Economics, Munster Universitary.
- Carlos Martins-FIlho & Feng Yao, 2004. "A Nonparametric Model of Frontiers," Econometric Society 2004 Latin American Meetings 102, Econometric Society.
- Liu, Yanyan, 2006. "Model Selection in Stochastic Frontier Analysis: Maize Production in Kenya," 2006 Annual meeting, July 23-26, Long Beach, CA 21281, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Kumbhakar, Subal C. & Lien, Gudbrand D. & Hardaker, J. Brian, 2011. "Technical efficiency in competing panel data models: A study of Norwegian grain farming," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114673, European Association of Agricultural Economists.
- Andrew Street, 2003. "How much confidence should we place in efficiency estimates?," Health Economics, John Wiley & Sons, Ltd., vol. 12(11), pages 895-907.
- Tchumtchoua, Sylvie, 2006. "Estimation and Inference in Parametric Stochastic Frontier Models: A SAS/IML Procedure for a Bootstrap Method," Research Reports 149177, University of Connecticut, Food Marketing Policy Center.
- Martins-Filho, Carlos & Yao, Feng, 2007. "Nonparametric frontier estimation via local linear regression," Journal of Econometrics, Elsevier, vol. 141(1), pages 283-319, November.
- Anna Bottasso & Maurizio Conti, 2003. "Cost Inefficiency in the English and Welsh Water Industry: An Heteroskedastic Stochastic Cost Frontier Approach," Economics Discussion Papers 573, University of Essex, Department of Economics.
- Tiziana Laureti, 2008. "Modelling Exogenous Variables in Human Capital Formation through a Heteroscedastic Stochastic Frontier," International Advances in Economic Research, Springer, vol. 14(1), pages 76-89, February.
- Wang, Hung-Jen, 2002.
"Heteroscedasticity and non-monotonic efficiency effects of a stochastic frontier model,"
31076, University Library of Munich, Germany.
- Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
- J. Griffin, 2011. "Bayesian clustering of distributions in stochastic frontier analysis," Journal of Productivity Analysis, Springer, vol. 36(3), pages 275-283, December.
- Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2012. "Stochastic frontier analysis using Stata," CEIS Research Paper 251, Tor Vergata University, CEIS, revised 13 Sep 2012.
- Mongan, Juan Carlos & Santin, Daniel & Valiño, Aurelia, 2011. "Towards the equality of educational opportunity in the province of Buenos Aires," Journal of Policy Modeling, Elsevier, vol. 33(4), pages 583-596, July.
- Mäkinen, Mikko, 2007. "Do Stock Opiton Schemes Affect Technical Inefficiency? Evidence from Finland," Discussion Papers 1085, The Research Institute of the Finnish Economy.
- Kim, Taeyoon & Brorsen, B. Wade & Kenkel, Philip L., 2008. "Estimation of Efficiency with the Stochastic Frontier Cost Function and Heteroscedasticity: A Monte Carlo Study," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6408, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Jacob A. Bikker & Barbara Casu & Claudia Girardone & Mohamed E Chaffai & Michel Dietsch & Antonio Colangelo & Robert Inklaar & Marco Colagiovanni & Martin Czurda & Roger Hartmann & Charles-Henri Di Ma, 2009. "Productivity in the Financial Services Sector," SUERF Studies, SUERF - The European Money and Finance Forum, number 2009/4 edited by Morten Balling & Ernest Gnan & Frank Lierman & Jean-Pierre Schoder, March.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum).
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.