Marginal Comparisons with the Best ant the Efficiency Measurment Problem
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Kim, Yangseon & Schmidt, Peter, 2008. "Marginal Comparisons With the Best and the Efficiency Measurement Problem," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 253-260, April.
References listed on IDEAS
- Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1997.
"Bayesian efficiency analysis through individual effects: Hospital cost frontiers,"
Journal of Econometrics, Elsevier, vol. 76(1-2), pages 77-105.
- KOOP , Gary & OSIEWALSKI , Jacek & STEEL , Mark, 1995. "Bayesian Efficiency Analysis through Individual Effects : Hospital Cost Frontiers," LIDAM Discussion Papers CORE 1995036, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Koop, G. & Osiewalski, J. & Steel, M. F. J., 1997. "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," LIDAM Reprints CORE 1245, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
- Manuel Arellano, 1990. "Testing for Autocorrelation in Dynamic Random Effects Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 127-134.
- William C. Horrace & Peter Schmidt, 2000. "Multiple comparisons with the best, with economic applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 1-26.
- William C. Horrace & Peter Schmidt, 2002. "Confidence Statements for Efficiency Estimates from Stochastic Frontier Models," Econometrics 0206006, University Library of Munich, Germany.
- William C. Horrace, 2002. "Tables of Percentage Points of the k-Variate Normal Distribution for Large Values of k," Econometrics 0206007, University Library of Munich, Germany.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- I. Fraser & W. Horrace, 2003.
"Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates,"
Journal of Productivity Analysis, Springer, vol. 20(2), pages 169-190, September.
- Iain Fraser & William C. Horrace, 2002. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," Public Economics 0206001, University Library of Munich, Germany, revised 11 May 2003.
- Fraser, Iain & Horrace, William C., 2002. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 125084, Australian Agricultural and Resource Economics Society.
- Phill Wheat & William Greene & Andrew Smith, 2014. "Understanding prediction intervals for firm specific inefficiency scores from parametric stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 55-65, August.
- William C. Horrace & Christopher F. Parmeter, 2018.
"A Laplace stochastic frontier model,"
Econometric Reviews, Taylor & Francis Journals, vol. 37(3), pages 260-280, March.
- William C. Horrace & Christopher F. Parmeter, 2014. "A Laplace Stochastic Frontier Model," Center for Policy Research Working Papers 166, Center for Policy Research, Maxwell School, Syracuse University.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- I. Fraser & W. Horrace, 2003.
"Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates,"
Journal of Productivity Analysis, Springer, vol. 20(2), pages 169-190, September.
- Iain Fraser & William C. Horrace, 2002. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," Public Economics 0206001, University Library of Munich, Germany, revised 11 May 2003.
- Fraser, Iain & Horrace, William C., 2002. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 125084, Australian Agricultural and Resource Economics Society.
- Myungsup Kim & Yangseon Kim & Peter Schmidt, 2007.
"On the accuracy of bootstrap confidence intervals for efficiency levels in stochastic frontier models with panel data,"
Journal of Productivity Analysis, Springer, vol. 28(3), pages 165-181, December.
- Myungsup Kim & Yangseon Kim & Peter Schmidt, 2007. "On the Accuracy of Bootstrap Confidence Intervals for Efficiency Levels in Stochastic Frontier Models with Panel Data," Working Papers 0704, University of Crete, Department of Economics.
- Qu Feng & William C. Horrace, 2012.
"Alternative technical efficiency measures: Skew, bias and scale,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(2), pages 253-268, March.
- Qu Feng & William C. Horrace, 2010. "Alternative Technical Efficiency Measures: Skew, Bias, and Scale," Center for Policy Research Working Papers 121, Center for Policy Research, Maxwell School, Syracuse University.
- Alfonso Flores-Lagunes & William C. Horrace & Kurt E. Schnier, 2007.
"Identifying technically efficient fishing vessels: a non-empty, minimal subset approach,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 729-745.
- Alfonso Flores-Lagunes & William C. Horrace & Kurt E. Schnier, 2006. "Identifying Technically Efficient Fishing Vessels: A Non-Empty, Minimal Subset Approach," Center for Policy Research Working Papers 78, Center for Policy Research, Maxwell School, Syracuse University.
- Kim Rose Olsen & Andrew Street, 2008. "The analysis of efficiency among a small number of organisations: How inferences can be improved by exploiting patient‐level data," Health Economics, John Wiley & Sons, Ltd., vol. 17(6), pages 671-681, June.
- William Horrace & Seth Richards-Shubik & Ian Wright, 2015.
"Expected efficiency ranks from parametric stochastic frontier models,"
Empirical Economics, Springer, vol. 48(2), pages 829-848, March.
- William Horrace & Seth Richards-Shubik, 2013. "Expected Efficiency Ranks From Parametric Stochastic Fronteir Models," Center for Policy Research Working Papers 153, Center for Policy Research, Maxwell School, Syracuse University.
- Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
- Viliam Druska & William C. Horrace, 2004.
"Generalized Moments Estimation for Spatial Panel Data: Indonesian Rice Farming,"
American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 185-198.
- Viliam Druska & William C. Horrace, 2002. "Generalized Moments Estimation for Spatial Panel Data: Indonesian Rice Farming," Econometrics 0206004, University Library of Munich, Germany, revised 11 May 2003.
- Tai-Hsin Huang & Tong-Liang Kao, 2006. "Joint estimation of technical efficiency and production risk for multi-output banks under a panel data cost frontier model," Journal of Productivity Analysis, Springer, vol. 26(1), pages 87-102, August.
- William C. Horrace & Seth O. Richards, 2007. "A Monte Carlo Study of Efficiency Estimates from Frontier Models," Center for Policy Research Working Papers 97, Center for Policy Research, Maxwell School, Syracuse University.
- Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
- Horrace, William C., 2005.
"On ranking and selection from independent truncated normal distributions,"
Journal of Econometrics, Elsevier, vol. 126(2), pages 335-354, June.
- William C. Horrace, 2003. "On Ranking and Selection from Independent Truncated Normal Distributions," Econometrics 0306009, University Library of Munich, Germany.
- William C. Horrace, 2002. "Selection Procedures for Order Statistics in Empirical Economic Studies," Econometrics 0206005, University Library of Munich, Germany.
- Lise Tole & Gary Koop, 2013.
"Estimating the impact on efficiency of the adoption of a voluntary environmental standard: an empirical study of the global copper mining industry,"
Journal of Productivity Analysis, Springer, vol. 39(1), pages 35-45, February.
- Lise Tole & Gary Koop, 2011. "Estimating the Impact on Efficiency of the Adoption of a Voluntary Environmental Standard: An Empirical Study of the Global Copper Mining Industry," Working Papers 1136, University of Strathclyde Business School, Department of Economics.
- Tole, Lisa & Koop, Gary, 2012. "Estimating the Impact on Efficiency of the Adoption of a Voluntary Environmental Standard: An Empirical Study of the Global Copper Mining Industry," SIRE Discussion Papers 2012-65, Scottish Institute for Research in Economics (SIRE).
- Lise Tole & Gary Koop, 2011. "Estimating the Impact on Efficiency of the Adoption of a Voluntary Environmental Standard: An Empirical Study of the Global Copper Mining Industry," Working Papers 11-36, University of Strathclyde Business School, Department of Economics.
- Mehdi Farsi & Aurelio Fetz & Massimo Filippini, 2007. "Benchmarking and Regulation in the Electricity Distribution Sector," CEPE Working paper series 07-54, CEPE Center for Energy Policy and Economics, ETH Zurich.
- Junrong Liu & Robin C. Sickles & E. G. Tsionas, 2017. "Bayesian Treatments for Panel Data Stochastic Frontier Models with Time Varying Heterogeneity," Econometrics, MDPI, vol. 5(3), pages 1-21, July.
- Feng, Qu & Horrace, William C., 2012. "Estimating technical efficiency in micro panels," Economics Letters, Elsevier, vol. 117(3), pages 730-733.
- Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013.
"Stochastic frontier analysis using Stata,"
Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, 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.
- Yangseon Kim & Peter Schmidt, 2000. "A Review and Empirical Comparison of Bayesian and Classical Approaches to Inference on Efficiency Levels in Stochastic Frontier Models with Panel Data," Journal of Productivity Analysis, Springer, vol. 14(2), pages 91-118, September.
- Kollerup, Anna & Wadmann, Sarah & Bek, Toke & Kjellberg, Jakob, 2022. "National clinical guidelines and treatment centralization do not guarantee consistency in healthcare delivery. A mixed-methods study of wet age-related macular degeneration treatment in Denmark," Health Policy, Elsevier, vol. 126(12), pages 1291-1302.
More about this item
Keywords
marginal comparisons; production efficiency; confidence intervals;All these keywords.
JEL classification:
- C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
NEP fields
This paper has been announced in the following NEP Reports:- NEP-EFF-2007-01-23 (Efficiency and Productivity)
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:crt:wpaper:0703. 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.
If CitEc recognized a bibliographic reference but did not link an item in RePEc 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 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: Kostis Pigounakis (email available below). General contact details of provider: https://edirc.repec.org/data/deuchgr.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.