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Why worry about awareness in choice problems? Econometric analysis of screening for cervical cancer

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  • Rochelle Belkar

    (School of Economics, University of New South Wales, Sydney, Australia)

  • Denzil G. Fiebig
  • Marion Haas

    (CHERE, University of Technology, Sydney, Australia)

  • Rosalie Viney

    (CHERE, University of Technology, Sydney, Australia)

Abstract

The decision to undertake a screening test is conditional upon awareness of screening. From an econometric perspective there is a potential selection problem, if no distinction is made between aware and unaware non-screeners. This paper explores this problem through analysis of the determinants of cervical screening in Australia. Cervical cancer is one of the most preventable and curable forms of cancer. Since 1991 there has been a concerted effort in Australia to recommend and encourage women to have Pap smears every two years. The success of this program can be partly gauged by exploring the determinants of screening for cervical cancer. Using unit record data from the 1995 National Health Survey, an econometric model is developed for whether women have ever screened or not. A proportion of women in the sample contend that they have never heard of a Pap test. The analysis characterizes this group of women and accounts for their presence in the modelling. The paper demonstrates failing to model awareness can result in inconsistent parameter estimates even when the degree of censoring in the sample is relatively small. Copyright © 2005 John Wiley & Sons, Ltd.

Suggested Citation

  • Rochelle Belkar & Denzil G. Fiebig & Marion Haas & Rosalie Viney, 2006. "Why worry about awareness in choice problems? Econometric analysis of screening for cervical cancer," Health Economics, John Wiley & Sons, Ltd., vol. 15(1), pages 33-47.
  • Handle: RePEc:wly:hlthec:v:15:y:2006:i:1:p:33-47
    DOI: 10.1002/hec.1013
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Fiebig, Denzil G. & Haas, Marion & Hossain, Ishrat & Street, Deborah J. & Viney, Rosalie, 2009. "Decisions about Pap tests: What influences women and providers?," Social Science & Medicine, Elsevier, vol. 68(10), pages 1766-1774, May.
    2. Nicolas Bouckaert & Erik Schokkaert, 2016. "Differing types of medical prevention appeal to different individuals," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(3), pages 317-337, April.
    3. Carman, Katherine Grace & Kooreman, Peter, 2011. "Flu Shots, Mammograms, and the Perception of Probabilities," IZA Discussion Papers 5739, Institute for the Study of Labor (IZA).
    4. Whynes, David K. & Philips, Zoe & Avis, Mark, 2007. "Why do women participate in the English cervical cancer screening programme?," Journal of Health Economics, Elsevier, vol. 26(2), pages 306-325, March.
    5. repec:eee:soceps:v:62:y:2018:i:c:p:121-128 is not listed on IDEAS
    6. Katherine Carman & Ilaria Mosca, 2014. "Who Takes Up Free Flu Shots? Examining the Effects of an Expansion in Coverage," De Economist, Springer, vol. 162(1), pages 1-17, March.
    7. Meliyanni Johar & Denzil Fiebig & Marion Haas & Rosalie Viney, 2009. "Evaluating changes in women's attitudes towards cervical screening following a screening promotion campaign and a free vaccination program. CHERE Working Paper 2009/3," Working Papers 2009/3, CHERE, University of Technology, Sydney.
    8. Belkar, R. & Fiebig, D.G., 2008. "A Monte Carlo comparison of estimators for a bivariate probit model with selection," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 250-256.
    9. Alessandro Mengoni & Chiara Seghieri & Sabina Nuti, 2013. "The application of discrete choice experiments in health economics: a systematic review of the literature," Working Papers 201301, Scuola Superiore Sant'Anna of Pisa, Istituto di Management.
    10. Carman, K.G. & Mosca, I., 2011. "Who Takes Advantage of Free Flu Shots? Examining the Effects of an Expansion in Coverage," Discussion Paper 2011-024, Tilburg University, Center for Economic Research.
    11. repec:bla:asiaec:v:31:y:2017:i:2:p:119-137 is not listed on IDEAS
    12. Katherine Carman & Peter Kooreman, 2014. "Probability perceptions and preventive health care," Journal of Risk and Uncertainty, Springer, vol. 49(1), pages 43-71, August.

    More about this item

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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