Waiting times and socioeconomic status: does sample selection matter?
AbstractAn 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.
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Bibliographic InfoPaper provided by HEDG, c/o Department of Economics, University of York in its series Health, Econometrics and Data Group (HEDG) Working Papers with number 11/22.
Date of creation: Jul 2011
Date of revision:
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Hospital Waiting Times; Socio-economic Gradient; Quantile regression with sample selection; Heckman model;
Find related papers by 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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Blog mentionsAs found by EconAcademics.org, the blog aggregator for Economics research:
- 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 04:45:45
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