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Original Articles

Input aggregation and computed technical efficiency

Pages 295-297 | Published online: 06 Oct 2010

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Read on this site (10)

A. M. Aldanondo & V. L. Casasnovas. (2015) Input aggregation bias in technical efficiency with multiple criteria analysis. Applied Economics Letters 22:6, pages 430-435.
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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) Measuring efficiency in allocating inputs among outputs with DEA. Applied Economics Letters 13:6, pages 333-336.
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Darold Barnum & John Gleason. (2005) Technical efficiency bias caused by intra-input aggregation in data envelopment analysis. Applied Economics Letters 12:13, pages 785-788.
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Rolf Färe, Shawna Grosskopf & Valentin Zelenyuk . (2004) Aggregation bias and its bounds in measuring technical efficiency. Applied Economics Letters 11:10, pages 657-660.
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Rolf Färe & Valentin Zelenyuk. (2002) Input aggregation and technical efficiency. Applied Economics Letters 9:10, pages 635-636.
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Articles from other publishers (15)

Ali Homayoni, Reza Fallahnejad & Farhad Hosseinzadeh Lotfi. (2021) Cross Malmquist Productivity Index in Data Envelopment Analysis. 4OR 20:4, pages 567-602.
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Subhash C. Ray. 2022. Handbook of Production Economics. Handbook of Production Economics 1083 1116 .
Valentin Zelenyuk. 2022. Handbook of Production Economics. Handbook of Production Economics 1039 1079 .
Subhash C. Ray. 2020. Handbook of Production Economics. Handbook of Production Economics 1 34 .
Valentin Zelenyuk. (2020) Aggregation of inputs and outputs prior to Data Envelopment Analysis under big data. European Journal of Operational Research 282:1, pages 172-187.
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Victor V. Podinovski & Tatiana Bouzdine-Chameeva. (2020) Consistency of returns-to-scale characterizations of production frontiers with respect to model specification. European Journal of Operational Research 280:2, pages 609-620.
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Valentin Zelenyuk. 2020. Handbook of Production Economics. Handbook of Production Economics 1 40 .
Christine E. Whitt, Loren W. Tauer & Heather Huson. (2019) Bull efficiency using dairy genetic traits. PLOS ONE 14:11, pages e0223436.
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Heinz Ahn, Peter Bogetoft & Ana Lopes. (2018) Measuring potential sub-unit efficiency to counter the aggregation bias in benchmarking. Journal of Business Economics 89:1, pages 53-77.
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Shuzhong Ma & Han Feng. (2013) Will the decline of efficiency in China's agriculture come to an end? An analysis based on opening and convergence. China Economic Review 27, pages 179-190.
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A. Arandia & A. Aldanondo-Ochoa. (2011) Pollution shadow prices in conventional and organic farming: an application in a Mediterranean context. Spanish Journal of Agricultural Research 9:2, pages 363.
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Daniel C. Monchuk, Zhuo Chen & Yosef Bonaparte. (2010) Explaining production inefficiency in China's agriculture using data envelopment analysis and semi-parametric bootstrapping. China Economic Review 21:2, pages 346-354.
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Endre Bjørndal, Mette Bjørndal & Kari-Anne Fange. 2010. Energy, Natural Resources and Environmental Economics. Energy, Natural Resources and Environmental Economics 317 342 .
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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