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Screening For A Chronic Disease: A Multiple Stage Duration Model With Partial Observability

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Listed:
  • Thomas A. Mroz
  • Gabriel Picone
  • Frank Sloan
  • Arseniy P. Yashkin
Abstract
We estimate a dynamic multistage duration model to investigate how early detection of diabetes can delay the onset of lower extremity complications and death. We allow for partial observability of the disease stage, unmeasured heterogeneity, and endogenous timing of diabetes screening. Timely diagnosis appears important. We evaluate the effectiveness of two potential policies to reduce the monetary costs of frequent screening in terms of lost longevity. Compared to the status quo, the more restrictive policy yields an implicit value for an additional year of life of about $50,000, whereas the less restrictive policy implies a value of about $120,000.

Suggested Citation

  • Thomas A. Mroz & Gabriel Picone & Frank Sloan & Arseniy P. Yashkin, 2016. "Screening For A Chronic Disease: A Multiple Stage Duration Model With Partial Observability," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(3), pages 915-934, August.
  • Handle: RePEc:wly:iecrev:v:57:y:2016:i:3:p:915-934
    DOI: 10.1111/iere.12180
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    References listed on IDEAS

    as
    1. Mroz, Thomas A., 1999. "Discrete factor approximations in simultaneous equation models: Estimating the impact of a dummy endogenous variable on a continuous outcome," Journal of Econometrics, Elsevier, vol. 92(2), pages 233-274, October.
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    8. Bhattacharya, Jayanta & Goldman, Dana & Sood, Neeraj, 2003. "The link between public and private insurance and HIV-related mortality," Journal of Health Economics, Elsevier, vol. 22(6), pages 1105-1122, November.
    9. Liu, Haiyong & Mroz, Thomas & Adair, Linda, 2009. "Parental compensatory behaviors and early child health outcomes in Cebu, Philippines," Journal of Development Economics, Elsevier, vol. 90(2), pages 209-230, November.
    10. Viscusi, W Kip & Aldy, Joseph E, 2003. "The Value of a Statistical Life: A Critical Review of Market Estimates throughout the World," Journal of Risk and Uncertainty, Springer, vol. 27(1), pages 5-76, August.
    11. Curtis Eberwein & John C. Ham & Robert J. Lalonde, 1997. "The Impact of Being Offered and Receiving Classroom Training on the Employment Histories of Disadvantaged Women: Evidence from Experimental Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 655-682.
    12. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1.
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    17. Michelle M. Mello & Sally C. Stearns & Edward C. Norton, 2002. "Do Medicare HMOs still reduce health services use after controlling for selection bias?," Health Economics, John Wiley & Sons, Ltd., vol. 11(4), pages 323-340, June.
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    21. Glewwe, Paul & Jacoby, Hanan G., 2004. "Economic growth and the demand for education: is there a wealth effect?," Journal of Development Economics, Elsevier, vol. 74(1), pages 33-51, June.
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    Cited by:

    1. Shannon Ward & Jenny Williams & Jan C. van Ours, 2021. "Delinquency, Arrest and Early School Leaving," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(2), pages 411-436, April.

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    More about this item

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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