Estimating efficiency by cost frontiers: a comparison of parametric and nonparametric methods
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DOI: 10.1080/758529808
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References listed on IDEAS
- Sengupta, Jati K., 1990. "Transformations in stochastic DEA models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 109-123.
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- Lin, Winston T. & Chuang, Chia-Hung & Choi, Jeong Hoon, 2010. "A partial adjustment approach to evaluating and measuring the business value of information technology," International Journal of Production Economics, Elsevier, vol. 127(1), pages 158-172, September.
- Andreas Kuhlmann, 2007. "Essays on network industries : privatization, regulation, and productivity measurement," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 26.
- Randall Campbell & Kevin Rogers & Jon Rezek, 2008. "Efficient frontier estimation: a maximum entropy approach," Journal of Productivity Analysis, Springer, vol. 30(3), pages 213-221, December.
- Luis R. Murillo‐Zamorano, 2004. "Economic Efficiency and Frontier Techniques," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 33-77, February.
- Murillo-Zamorano, Luis R. & Vega-Cervera, Juan A., 2001. "The use of parametric and non-parametric frontier methods to measure the productive efficiency in the industrial sector: A comparative study," International Journal of Production Economics, Elsevier, vol. 69(3), pages 265-275, February.
- Luis R. Murillo-Zamorano & Juan Vega-Cervera, "undated". "The Use of Parametric and Non Parametric Frontier Methods to Measure the Productive Efficiency in the Industrial Sector. A Comparative Study," Discussion Papers 00/17, Department of Economics, University of York.
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