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Applied Economics Letters Volume 12, 2005 - Issue 13
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Original Articles

Technical efficiency bias caused by intra-input aggregation in data envelopment analysis

Darold Barnum Department of Information and Decision Sciences, College of Business Administration, University of Illinois at Chicago, 601 South Morgan Street, Chicago, IL 60607-7123, USACorrespondence[email protected]
&
John Gleason Department of Information Systems and Technology, College of Business Administration, Creighton University, Omaha, NE 68178, USA
Pages 785-788 | Published online: 21 Aug 2006

Citations (14)

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Read on this site (8)

Antonio Peyrache & Cinzia Daraio. (2012) Empirical tools to assess the sensitivity of directional distance functions to direction selection. Applied Economics 44:8, pages 933-943.
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Carmelo Reverte & Isidoro Guzman. (2010) The predictive ability of relative efficiency for future earnings: an application using data envelopment analysis to Spanish SMEs. Applied Economics 42:21, pages 2751-2757.
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DaroldT. Barnum & JohnM. Gleason. (2010) DEA efficiency analysis involving multiple production processes. Applied Economics Letters 17:7, pages 627-632.
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Darold T. Barnum, John M. Gleason & Brendon Hemily. (2009) Using panel data analysis to estimate confidence intervals for the DEA efficiency of individual decision making units. Applied Economics 41:26, pages 3319-3326.
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Darold T. Barnum & John M. Gleason. (2008) Bias and precision in the DEA two-stage method. Applied Economics 40:18, pages 2305-2311.
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Darold T. Barnum & John M. Gleason. (2007) Technical efficiency bias in data envelopment analysis caused by intra-output aggregation. Applied Economics Letters 14:9, pages 623-626.
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Darold T. Barnum & John M. Gleason. (2006) Biases in technical efficiency scores caused by intra-input aggregation: mathematical analysis and a DEA application using simulated data. Applied Economics 38:14, pages 1593-1603.
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Darold T. Barnum & John M. Gleason. (2006) Measuring efficiency in allocating inputs among outputs with DEA. Applied Economics Letters 13:6, pages 333-336.
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Articles from other publishers (6)

Yifei Zhang, Sheng Li & Fang Zhang. (2020) Does an Emissions Trading Policy Improve Environmental Efficiency? Evidence from China. Sustainability 12:6, pages 2165.
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Darold T. Barnum, Matthew G. Karlaftis & Sonali Tandon. (2011) Improving the efficiency of metropolitan area transit by joint analysis of its multiple providers. Transportation Research Part E: Logistics and Transportation Review 47:6, pages 1160-1176.
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Darold T. Barnum, Karen L. Shields, Surrey M. Walton & Glen T. Schumock. (2009) Improving the Efficiency of Distributive and Clinical Services in Hospital Pharmacy. Journal of Medical Systems 35:1, pages 59-70.
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Phuong Nguyen-Hoang & Ryan Yeung. (2010) What is paratransit worth?. Transportation Research Part A: Policy and Practice 44:10, pages 841-853.
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Wuwei Li. (2009) Research on Evaluation of Technological Innovation Efficiency in Chinese Industry. Research on Evaluation of Technological Innovation Efficiency in Chinese Industry.
Darold T. BarnumJohn M. GleasonBrendon Hemily. (2008) Using Panel Data Analysis to Estimate DEA Confidence Intervals Adjusted for the Environment. Journal of Transportation Engineering 134:5, pages 215-223.
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