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Does Doctors' Experience Matter in LASIK Surgeries?: Working Paper 2010-01

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  • Juan M. Contreras
  • Beomsoo Kim
  • Ignez M. Tristao

Abstract

In this paper, we use a longitudinal census of laser in situ keratomileusis (LASIK) eye surgeries collected directly from patient charts to examine the learning-by-doing hypothesis in medicine. LASIK surgery has precise measures of presurgical condition and postsurgical outcomes. Unlike other types of surgery, the impact of unobservable underlying patient conditions on outcomes is minimal. Individual learning by doing is identified through observations of surgical outcomes over time, based on the cumulative number of surgeries performed. Collective learning is identified

Suggested Citation

  • Juan M. Contreras & Beomsoo Kim & Ignez M. Tristao, 2010. "Does Doctors' Experience Matter in LASIK Surgeries?: Working Paper 2010-01," Working Papers 21400, Congressional Budget Office.
    • Handle: RePEc:cbo:wpaper:21400
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    File URL: https://www.cbo.gov/sites/default/files/111th-congress-2009-2010/workingpaper/2010-01-lasik_0.pdf
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    References listed on IDEAS

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    1. Ho, Vivian, 2002. "Learning and the evolution of medical technologies: the diffusion of coronary angioplasty," Journal of Health Economics, Elsevier, vol. 21(5), pages 873-885, September.
    2. Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
    3. Gary P. Pisano & Richard M.J. Bohmer & Amy C. Edmondson, 2001. "Organizational Differences in Rates of Learning: Evidence from the Adoption of Minimally Invasive Cardiac Surgery," Management Science, INFORMS, vol. 47(6), pages 752-768, June.
    4. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    5. David Dranove & Daniel Kessler & Mark McClellan & Mark Satterthwaite, 2003. "Is More Information Better? The Effects of "Report Cards" on Health Care Providers," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 555-588, June.
    6. C. Lanier Benkard, 2000. "Learning and Forgetting: The Dynamics of Aircraft Production," American Economic Review, American Economic Association, vol. 90(4), pages 1034-1054, September.
    7. Robert S. Huckman & Gary P. Pisano, 2006. "The Firm Specificity of Individual Performance: Evidence from Cardiac Surgery," Management Science, INFORMS, vol. 52(4), pages 473-488, April.
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