Input aggregation and technical efficiency
AbstractThis paper defines the notion of unbiased aggregation of inputs and provides a necessary and sufficient condition for this to apply.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics Letters.
Volume (Year): 9 (2002)
Issue (Month): 10 ()
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- Pavlo Demchuk & Valentin Zelenyuk, 2009. "Testing differences in efficiency of regions within a country: the case of Ukraine," Journal of Productivity Analysis, Springer, vol. 32(2), pages 81-102, October.
- Wenjun Liu & Tomokazu Nomura & Shoji Nishijima, 2011. "Gender Discrimination and Firm Profit Efficiency:Evidence from Brazil," Discussion Papers 1019, Graduate School of Economics, Kobe University.
- Antonio Peyrache, 2014. "Cost Constrained Industry Ine," CEPA Working Papers Series WP042014, School of Economics, University of Queensland, Australia.
- Casasnovas, Valero L. & Aldanondo, Ana M., 2014. "Input aggregation bias in technical efficiency with multiple criteria analysis," MPRA Paper 56778, University Library of Munich, Germany.
- Rolf Fare & Shawna Grosskopf & Valentin Zelenyuk, 2004. "Aggregation bias and its bounds in measuring technical efficiency," Applied Economics Letters, Taylor & Francis Journals, vol. 11(10), pages 657-660.
- Darold Barnum & John Gleason, 2005. "Technical efficiency bias caused by intra-input aggregation in data envelopment analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 12(13), pages 785-788.
- Darold Barnum & John Gleason, 2006. "Measuring efficiency in allocating inputs among outputs with DEA," Applied Economics Letters, Taylor & Francis Journals, vol. 13(6), pages 333-336.
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