Integrating spatial dependence into Stochastic Frontier Analysis
An approach to incorporate spatial dependence into Stochastic Frontier analysis is developed and applied to a sample of 215 dairy farms in England and Wales. A number of alternative specifications for the spatial weight matrix are used to analyse the effect of these on the estimation of spatial dependence. Estimation is conducted using a Bayesian approach and results indicate that spatial dependence is present when explaining technical inefficiency.
(This abstract was borrowed from another version of this item.)
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.
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.
Volume (Year): 56 (2012)
Issue (Month): 4 (October)
|Contact details of provider:|| Postal: AARES Central Office Manager, Crawford School of Public Policy, ANU, Canberra ACT 0200|
Phone: 0409 032 338
Web page: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-8489
More information through EDIRC
|Order Information:||Web: http://ordering.onlinelibrary.wiley.com/subs.asp?ref=1467-8489&doi=10.1111/(ISSN)1467-8489|
References listed on IDEAS
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.:
- Alexandra M. Schmidt & Ajax R. B. Moreira & Thais C. O. Fonseca & Steven M. Helfand, 2015.
"Spatial Stochastic Frontier Models: Accounting for Unobserved Local Determinants of Inefficiency,"
0172, Instituto de Pesquisa Econômica Aplicada - IPEA.
- Alexandra Schmidt & Ajax Moreira & Steven Helfand & Thais Fonseca, 2009. "Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 31(2), pages 101-112, April.
- Alexandra M. Schmidt & Ajax R. B. Moreira & Thais C. O. Fonseca & Steven M. Helfand, 2006. "Spatial Stochastic Frontier Models: accounting for unobserved local determinants of inefficiency," Discussion Papers 1220, Instituto de Pesquisa Econômica Aplicada - IPEA.
- Glauben, Thomas & Lu, Wencong C. & Brümmer, Bernhard, 2003.
"Policy Reform And Productivity Change In Chinese Agriculture: A Distance Function Approach,"
2003 Annual Meeting, August 16-22, 2003, Durban, South Africa
25896, International Association of Agricultural Economists.
- Brummer, B. & Glauben, T. & Lu, W., 2006. "Policy reform and productivity change in Chinese agriculture: A distance function approach," Journal of Development Economics, Elsevier, vol. 81(1), pages 61-79, October.
- Brümmer, Bernhard & Glauben, Thomas & Lu, Wencong C., 2002. "Policy Reform and Productivity Change in Chinese Agriculture: A Distance Function Approach," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24779, European Association of Agricultural Economists.
- O'Donnell, Christopher J. & Coelli, Timothy J., 2005.
"A Bayesian approach to imposing curvature on distance functions,"
Journal of Econometrics,
Elsevier, vol. 126(2), pages 493-523, June.
- Tim J. Coelli & Chris O'Donnell, 2003. "A Bayesian Approach To Imposing Curvature On Distance Functions," CEPA Working Papers Series WP032003, School of Economics, University of Queensland, Australia.
- Fernandez, Carmen & Koop, Gary & Steel, Mark, 2000.
"A Bayesian analysis of multiple-output production frontiers,"
Journal of Econometrics,
Elsevier, vol. 98(1), pages 47-79, September.
- Carmen Fernandez & Gary Koop & Mark F J Steel, 1999. "A Bayesian analysis of multiple-output production frontier," ESE Discussion Papers 21, Edinburgh School of Economics, University of Edinburgh.
- Kim, Chong Won & Phipps, Tim T. & Anselin, Luc, 1998.
"Measuring The Benefits Of Air Quality Improvement: A Spatial Hedonic Approach,"
1998 Annual meeting, August 2-5, Salt Lake City, UT
20959, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Won Kim, Chong & Phipps, Tim T. & Anselin, Luc, 2003. "Measuring the benefits of air quality improvement: a spatial hedonic approach," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 24-39, January.
When requesting a correction, please mention this item's handle: RePEc:bla:ajarec:v:56:y:2012:i:4:p:521-541. 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: (Wiley-Blackwell Digital Licensing)or (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.