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Robust efficiency analysis of public hospitals in Queensland, Australia

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Abstract

In this study, we utilize various approaches for efficiency analysis to explore the state of efficiency of public hospitals in Queensland, Australia in the year 2016/17. Besides the traditional nonparametric approaches like DEA and FDH, we also use a more recent and very promising robust approach–order-α quantile frontier estimators (Aragon, Daouia, & Thomas-Agnan, 2005). Upon obtaining the individual estimates from various approaches, we also analyse performance on a more aggregate level – the level of Local Hospital Networks by using an aggregate efficiency measure constructed from the estimated individual efficiency scores. Our analysis suggests that the relatively low efficiency of some Local Hospital Networks in Queensland can be partially explained by the fact that the majority of their hospitals are small and located in remote areas.

Suggested Citation

  • Bao Hoang Nguyen & Valentin Zelenyuk, 2020. "Robust efficiency analysis of public hospitals in Queensland, Australia," CEPA Working Papers Series WP052020, School of Economics, University of Queensland, Australia.
  • Handle: RePEc:qld:uqcepa:148
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    File URL: https://economics.uq.edu.au/files/18100/WP052020.pdf
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    References listed on IDEAS

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    7. Léopold Simar & Valentin Zelenyuk, 2018. "Central Limit Theorems for Aggregate Efficiency," Operations Research, INFORMS, vol. 66(1), pages 137-149, January.
    8. Léopold Simar, 2007. "How to improve the performances of DEA/FDH estimators in the presence of noise?," Journal of Productivity Analysis, Springer, vol. 28(3), pages 183-201, December.
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    Cited by:

    1. Zhichao Wang & Valentin Zelenyuk, 2021. "Performance Analysis of Hospitals in Australia and its Peers: A Systematic Review," CEPA Working Papers Series WP012021, School of Economics, University of Queensland, Australia.
    2. Hong Ngoc Nguyen & Christopher O'Donnell, 2021. "Estimating the Cost Efficiency of Public Service Providers in the Presence of Demand Uncertainty," CEPA Working Papers Series WP122021, School of Economics, University of Queensland, Australia.

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    More about this item

    Keywords

    Hospital efficiency; Aggregate efficiency; DEA; FDH; Alpha frontier;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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