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The Effect of Dental Insurance on the Use of Dental Care For Older Adults: A Partial Identification Analysis

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  • Kreider, Brent
  • Manski, Richard
  • Moeller, John
  • Pepper, John V.

Abstract

We evaluate the impact of dental insurance on the use of dental services using a potential outcomes identification framework designed to handle uncertainty created by unknown counterfactuals—that is, the endogenous selection problem—and uncertainty about the reliability of self‐reported insurance status. Using data from the health and retirement study, we estimate that utilization rates of adults older than 50 years would increase from 75% to around 80% under universal dental coverage. Copyright © 2014 John Wiley & Sons, Ltd.
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Suggested Citation

  • Kreider, Brent & Manski, Richard & Moeller, John & Pepper, John V., 2014. "The Effect of Dental Insurance on the Use of Dental Care For Older Adults: A Partial Identification Analysis," Staff General Research Papers Archive 37503, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:37503
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    as
    1. Brent Kreider, 2010. "Regression Coefficient Identification Decay in The Presence of Infrequent Classification Errors," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 1017-1023, November.
    2. Aigner, Dennis J., 1973. "Regression with a binary independent variable subject to errors of observation," Journal of Econometrics, Elsevier, vol. 1(1), pages 49-59, March.
    3. Charles F. Manski, 1997. "Monotone Treatment Response," Econometrica, Econometric Society, vol. 65(6), pages 1311-1334, November.
    4. Manning, Willard G, et al, 1987. "Health Insurance and the Demand for Medical Care: Evidence from a Randomized Experiment," American Economic Review, American Economic Association, vol. 77(3), pages 251-277, June.
    5. Kreider, Brent & Pepper, John V., 2007. "Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 432-441, June.
    6. Guido W. Imbens & Charles F. Manski, 2004. "Confidence Intervals for Partially Identified Parameters," Econometrica, Econometric Society, vol. 72(6), pages 1845-1857, November.
    7. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843, Elsevier.
    8. repec:mpr:mprres:7567 is not listed on IDEAS
    9. David Card & Andrew K.G. Hildreth & Lara D. Shore-Sheppard, 2004. "The Measurement of Medicaid Coverage in the SIPP: Evidence From a Comparison of Matched Records," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 410-420, October.
    10. Sintonen, Harri & Linnosmaa, Ismo, 2000. "Economics of dental services," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 24, pages 1251-1296, Elsevier.
    11. Bollinger, Christopher R., 1996. "Bounding mean regressions when a binary regressor is mismeasured," Journal of Econometrics, Elsevier, vol. 73(2), pages 387-399, August.
    12. Brent Kreider & John V. Pepper & Craig Gundersen & Dean Jolliffe, 2012. "Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(499), pages 958-975, September.
    13. Michael Gerfin & Martin Schellhorn, 2006. "Nonparametric bounds on the effect of deductibles in health care insurance on doctor visits – Swiss evidence," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 1011-1020, September.
    14. Charles F. Manski & John V. Pepper, 2000. "Monotone Instrumental Variables, with an Application to the Returns to Schooling," Econometrica, Econometric Society, vol. 68(4), pages 997-1012, July.
    15. Brent Kreider & Steven C. Hill, 2009. "Partially Identifying Treatment Effects with an Application to Covering the Uninsured," Journal of Human Resources, University of Wisconsin Press, vol. 44(2).
    16. Chad D. Meyerhoefer & Samuel H. Zuvekas & Richard Manski, 2014. "The Demand For Preventive And Restorative Dental Services," Health Economics, John Wiley & Sons, Ltd., vol. 23(1), pages 14-32, January.
    17. Charles F. Manski & John V. Pepper, 2009. "More on monotone instrumental variables," Econometrics Journal, Royal Economic Society, vol. 12(s1), pages 200-216, January.
    18. John V. Pepper, 2000. "The Intergenerational Transmission Of Welfare Receipt: A Nonparametric Bounds Analysis," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 472-488, August.
    19. Nelson, D.E. & Thompson, B.L. & Davenport, N.J. & Penaloza, L.J., 2000. "What people really know about their health insurance: A comparison of information obtained from individuals and their insurers," American Journal of Public Health, American Public Health Association, vol. 90(6), pages 924-928.
    20. Duncan, Greg J & Hill, Daniel H, 1985. "An Investigation of the Extent and Consequences of Measurement Error in Labor-Economic Survey Data," Journal of Labor Economics, University of Chicago Press, vol. 3(4), pages 508-532, October.
    21. Molinari, Francesca, 2008. "Partial identification of probability distributions with misclassified data," Journal of Econometrics, Elsevier, vol. 144(1), pages 81-117, May.
    22. Willard G. Manning Jr. & Charles E. Phelps, 1979. "The Demand for Dental Care," Bell Journal of Economics, The RAND Corporation, vol. 10(2), pages 503-525, Autumn.
    23. AIGNER, Dennis J., 1973. "Regression with a binary independent variable subject to errors of observation," LIDAM Reprints CORE 130, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    24. Mueller, Curt D. & Monheit, Alan C., 1988. "Insurance coverage and the demand for dental care : Results for non-aged white adults," Journal of Health Economics, Elsevier, vol. 7(1), pages 59-72, March.
    25. Richard J. Manski & John Moeller & Haiyan Chen & Patricia A. St. Clair & Jody Schimmel & Larry Magder & John V. Pepper, 2010. "Dental Care Utilization and Retirement," Mathematica Policy Research Reports fa439a2a59a74865ad132b2ad, Mathematica Policy Research.
    26. Hay, Joel W. & Bailit, Howard & Chiriboga, Douglas A., 1982. "The demand for dental health," Social Science & Medicine, Elsevier, vol. 16(13), pages 1285-1289, January.
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    Cited by:

    1. Stijn Baert & Bas van der Klaauw & Gijsbert van Lomwel, 2018. "The effectiveness of medical and vocational interventions for reducing sick leave of self‐employed workers," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 139-152, February.
    2. Lan Nguyen & Andrew C. Worthington, 2023. "Moral hazard in Australian private health insurance: the case of dental care services and extras cover," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 48(1), pages 157-176, January.
    3. Bo-Mi Shin & Jung-Sun Heo & Jae-In Ryu, 2021. "An Investigation of the Association between Health Screening and Dental Scaling in Korea," IJERPH, MDPI, vol. 18(8), pages 1-13, April.
    4. Felix C.H. Gottschalk, 2019. "Why prevent when it does not pay? Prevention when health services are credence goods," Health Economics, John Wiley & Sons, Ltd., vol. 28(5), pages 693-709, May.
    5. Chad D. Meyerhoefer & Samuel H. Zuvekas & Bita Fayaz Farkhad & John F. Moeller & Richard J. Manski, 2019. "The demand for preventive and restorative dental services among older adults," Health Economics, John Wiley & Sons, Ltd., vol. 28(9), pages 1151-1158, September.
    6. Chen, Fengming & Wakabayashi, Midori & Yuda, Michio, 2024. "The impact of retirement on health: Empirical evidence from the change in public pensionable age in Japan," The Journal of the Economics of Ageing, Elsevier, vol. 28(C).

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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • I1 - Health, Education, and Welfare - - Health

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