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A bootstrapped metafrontier model

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  • A. Assaf
  • K. M. Matawie

Abstract

The major aim of this article is to apply the bootstrapping methodology to the estimation of the metafrotnier model. The article has two parts. The first part deals with the technical details of the metafrontier model, and the second presents the application of the model using cross-sectional input/output data on health care foodservice operations. The results obtained by bootstrapping the metafrontier model are presented and discussed.

Suggested Citation

  • A. Assaf & K. M. Matawie, 2010. "A bootstrapped metafrontier model," Applied Economics Letters, Taylor & Francis Journals, vol. 17(6), pages 613-617.
    • Handle: RePEc:taf:apeclt:v:17:y:2010:i:6:p:613-617
    DOI: 10.1080/13504850802232613
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    References listed on IDEAS

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    1. X. M. Gonzalez & D. Miles, 2002. "Statistical precision of DEA: a bootstrap application to Spanish public services," Applied Economics Letters, Taylor & Francis Journals, vol. 9(2), pages 127-132.
    2. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    3. Mickael Lothgren, 2000. "On the consistency of the DEA-based average efficiency bootstrap," Applied Economics Letters, Taylor & Francis Journals, vol. 7(1), pages 53-57.
    4. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    5. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
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    Cited by:

    1. Mitropoulos, Panagiotis & Talias, Μichael A. & Mitropoulos, Ioannis, 2015. "Combining stochastic DEA with Bayesian analysis to obtain statistical properties of the efficiency scores: An application to Greek public hospitals," European Journal of Operational Research, Elsevier, vol. 243(1), pages 302-311.
    2. Thibbotuwawa, Manoj & Mugera, Amin & White, Ben, 2013. "Production Efficiency and Technology Gap in Irrigated and Rain-fed Rice Farming Systems in Sri Lanka: Non Parametric Approach," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152181, Australian Agricultural and Resource Economics Society.
    3. Kounetas, Kostas & Napolitano, Oreste, 2015. "Too much EMU? An investigation of technology gaps," MPRA Paper 67600, University Library of Munich, Germany.
    4. Stephanie McWhinnie & Kofi Otumawu-Apreku, 2013. "The Role of Fixed Cost and Non-Discretionary Variables in Fisheries: A Theoretical and Empirical Investigation," School of Economics and Public Policy Working Papers 2013-19, University of Adelaide, School of Economics and Public Policy.
    5. Stephanie McWhinnie & Kofi Otumawu-Apreku, 2013. "Profit Efficiency of the South Australian Rock Lobster Fishery: Nerlovian and Directional Distance Function Approach," School of Economics and Public Policy Working Papers 2013-13, University of Adelaide, School of Economics and Public Policy.
    6. Stephanie McWhinnie & Kofi Otumawu-Apreku, 2013. "Evaluating Profit Efficiency of the South Australian Rock Lobster Fishery: Nerlovian and Directional Distance Function Approach," School of Economics and Public Policy Working Papers 2013-18, University of Adelaide, School of Economics and Public Policy.
    7. Watto, Muhammad, 2013. "Measuring Groundwater Irrigation Efficiency in Pakistan: A DEA Approach Using the Sub-vector and Slack-based Models," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152204, Australian Agricultural and Resource Economics Society.
    8. lo Storto, Corrado, 2018. "Ownership structure and the technical, cost, and revenue efficiency of Italian airports," Utilities Policy, Elsevier, vol. 50(C), pages 175-193.

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