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Waiting times and socioeconomic status: does sample selection matter?

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Abstract

An increasing amount of empirical evidence suggests that patients with higher socioeconomic status wait less within publicly-funded hospitals to receive non-emergency (elective) surgery. Using data from Australia, we investigate the extent to which such gradient can be explained by sample selection, with richer patients being more likely to opt for treatment in the private sector when faced with waiting times in the public sector. We show that, once the potential biases introduced by sample selection are taken into account, the gradient between waiting times and socioeconomic status reduces significantly in size but does not disappear.

Suggested Citation

  • A. Sharma & L. Siciliani & A. Harris, 2011. "Waiting times and socioeconomic status: does sample selection matter?," Health, Econometrics and Data Group (HEDG) Working Papers 11/22, HEDG, c/o Department of Economics, University of York.
  • Handle: RePEc:yor:hectdg:11/22
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    1. Things you should know about private health insurance rebates
      by Anthony Harris, Director of the Centre for Health Economics at Monash University in The Conversation on 2013-07-01 09:45:45

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    Cited by:

    1. Gutacker, Nils & Siciliani, Luigi & Cookson, Richard, 2016. "Waiting time prioritisation: Evidence from England," Social Science & Medicine, Elsevier, vol. 159(C), pages 140-151.
    2. Silviya Nikolova & Arthur Sinko & Matt Sutton, 2015. "Do maximum waiting time guarantees change clinical priorities for elective treatment? Evidence from Scotland," Working Papers 1501, Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds.
    3. Nikolova, Silviya & Sinko, Arthur & Sutton, Matt, 2015. "Do maximum waiting times guarantees change clinical priorities for elective treatment? Evidence from Scotland," Journal of Health Economics, Elsevier, vol. 41(C), pages 72-88.

    More about this item

    Keywords

    Hospital Waiting Times; Socio-economic Gradient; Quantile regression with sample selection; Heckman model;

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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