An analysis of mammography decisions with a focus on educational differences
AbstractI analyze the decisions on undertaking breast screening by women aged 50-64 in the UK. I provide estimation results on the discounting of the potential future benefits of screening. I also analyze the education diÂ¤erences in mammography decisions,and examine the underlying mechanism how education inÂ‡uences breast screening attendance. The reduced form estimation results suggest that the observed education gradient is mainly due to diÂ¤erences in health behaviors and health care attitudes.Using the institutional settings of the UK, I estimate a structural model, which reveals that although there are diÂ¤erences in the disutility of breast screening along the education level, there is no such diÂ¤erence in the estimated discount factor. I also Â…nd some evidence that women are forward looking when deciding on mammography attendance,and might even overestimate the potential beneÂ…ts of mammography.
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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 12/11.
Date of creation: Jul 2012
Date of revision:
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Postal: HEDG/HERC, Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom
Phone: (0)1904 323776
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Web page: http://www.york.ac.uk/economics/postgrad/herc/hedg/
More information through EDIRC
mammography; health discount rate; education gradient;
Find related papers by JEL classification:
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
- I12 - Health, Education, and Welfare - - Health - - - Health Production
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-09-30 (All new papers)
- NEP-HEA-2012-09-30 (Health Economics)
- NEP-LAB-2012-09-30 (Labour Economics)
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