IDEAS home Printed from https://ideas.repec.org/p/wil/wileco/2003-10.html
   My bibliography  Save this paper

The Effect of Medicaid Expansions for Low-Income Children on Medicaid Participation and Private Insurance Coverage : Evidence from the SIPP

Author

Abstract

We examine Medicaid enrollment and private coverage loss following expansions of Medicaid eligibility. We attempt to replicate Cutler and Gruber's (1996) results using the Survey of Income and Program Participation, and find smaller rates of take-up and little evidence of crowding out. We find that some of the difference in results can be attributed to different samples and recall periods in the data sets used. Extending the previous literature, we find that take-up is slightly increased if a child's siblings are eligible and with time spent eligible. Focusing on children whose eligibility status changes during the sample, we estimate smaller take-up effects. We find little evidence of crowding out in any of our extensions.

Suggested Citation

  • Lara D. Shore-Sheppard & John C. Ham, 2003. "The Effect of Medicaid Expansions for Low-Income Children on Medicaid Participation and Private Insurance Coverage : Evidence from the SIPP," Department of Economics Working Papers 2003-10, Department of Economics, Williams College.
    • Handle: RePEc:wil:wileco:2003-10
    as

    Download full text from publisher

    File URL: https://web.williams.edu/Economics/wp/shoresheppardham_shore-sheppard_child.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Janet Currie & Jonathan Gruber, 1996. "Health Insurance Eligibility, Utilization of Medical Care, and Child Health," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(2), pages 431-466.
    3. David M. Cutler & Jonathan Gruber, 1996. "Does Public Insurance Crowd out Private Insurance?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(2), pages 391-430.
    4. 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.
    5. Angrist, Joshua D, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 2-16, January.
    6. Browning, Martin & Deaton, Angus & Irish, Margaret, 1985. "A Profitable Approach to Labor Supply and Commodity Demands over the Life-Cycle," Econometrica, Econometric Society, vol. 53(3), pages 503-543, May.
    7. MaCurdy, Thomas E, 1981. "An Empirical Model of Labor Supply in a Life-Cycle Setting," Journal of Political Economy, University of Chicago Press, vol. 89(6), pages 1059-1085, December.
    8. Shore-Sheppard, Lara & Buchmueller, Thomas C. & Jensen, Gail A., 2000. "Medicaid and crowding out of private insurance: a re-examination using firm level data," Journal of Health Economics, Elsevier, vol. 19(1), pages 61-91, January.
    9. 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).
    10. Blumberg, Linda J. & Dubay, Lisa & Norton, Stephen A., 2000. "Did the Medicaid expansions for children displace private insurance? An analysis using the SIPP," Journal of Health Economics, Elsevier, vol. 19(1), pages 33-60, January.
    11. Lara Shore-Sheppard, 1996. "The Effects of Expanding Medicaid Eligibility on the Distribution of Children's Health Insurance Coverage," Working Papers 748, Princeton University, Department of Economics, Industrial Relations Section..
    12. Angrist, Joshua D, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 27-28, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    2. Tommasi, Denni & Zhang, Lina, 2024. "Bounding program benefits when participation is misreported," Journal of Econometrics, Elsevier, vol. 238(1).
    3. John Ham & Lara Dawn Shore-Sheppard, 2000. "The Effect of Medicaid Expansions for Low-Income Children on Medicaid Participation and Insurance Coverage: Evidence from the SIPP," JCPR Working Papers 164, Northwestern University/University of Chicago Joint Center for Poverty Research.
    4. Maury Gittleman, 2011. "Medicaid and Wealth: An Examination Using the NLSY79," Working Papers 448, U.S. Bureau of Labor Statistics.
    5. John C. Ham & Serkan Ozbeklik & Lara D. Shore-Sheppard, 2014. "Estimating Heterogeneous Takeup and Crowd-Out Responses to Existing Medicaid Income Limits and their Nonmarginal Expansions," Journal of Human Resources, University of Wisconsin Press, vol. 49(4), pages 872-905.
    6. Massimiliano Bratti & Mendola, M., 2013. "GINI DP 63: Parental Health and Child Schooling!," GINI Discussion Papers 63, AIAS, Amsterdam Institute for Advanced Labour Studies.
    7. Steven J. Haider & Melvin Stephens Jr., 2020. "Correcting for Misclassified Binary Regressors Using Instrumental Variables," NBER Working Papers 27797, National Bureau of Economic Research, Inc.
    8. Jonathan Gruber & Kosali Simon, 2007. "Crowd-Out Ten Years Later: Have Recent Public Insurance Expansions Crowded Out Private Health Insurance?," NBER Working Papers 12858, National Bureau of Economic Research, Inc.
    9. 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).
    10. Anthony T. Lo Sasso & Bruce D. Meyer, 2006. "The Health Care Safety Net and Crowd-Out of Private Health Insurance," NBER Working Papers 11977, National Bureau of Economic Research, Inc.
    11. Marianne P. Bitler & Madeline Zavodny, 2014. "Medicaid: A Review of the Literature," NBER Working Papers 20169, National Bureau of Economic Research, Inc.
    12. Lo Sasso, Anthony T. & Buchmueller, Thomas C., 2004. "The effect of the state children's health insurance program on health insurance coverage," Journal of Health Economics, Elsevier, vol. 23(5), pages 1059-1082, September.
    13. Charles Courtemanche & Augustine Denteh & Rusty Tchernis, 2019. "Estimating the Associations between SNAP and Food Insecurity, Obesity, and Food Purchases with Imperfect Administrative Measures of Participation," Southern Economic Journal, John Wiley & Sons, vol. 86(1), pages 202-228, July.
    14. DiTraglia, Francis J. & García-Jimeno, Camilo, 2019. "Identifying the effect of a mis-classified, binary, endogenous regressor," Journal of Econometrics, Elsevier, vol. 209(2), pages 376-390.
    15. Abdurrahman Aydemir & George J. Borjas, 2011. "Attenuation Bias in Measuring the Wage Impact of Immigration," Journal of Labor Economics, University of Chicago Press, vol. 29(1), pages 69-113, January.
    16. Gittleman Maury, 2011. "Medicaid and Wealth: A Re-Examination," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-25, November.
    17. Christopher R. Bollinger, 2001. "Response Error and the Union Wage Differential," Southern Economic Journal, John Wiley & Sons, vol. 68(1), pages 60-76, July.
    18. 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.
    19. Ellen Meara & Meredith Rosenthal & Anna Sinaiko & Katherine Baicker, 2008. "State and Federal Approaches to Health Reform: What Works for the Working Poor?," NBER Working Papers 14125, National Bureau of Economic Research, Inc.
    20. Zhang, Han, 2021. "How Using Machine Learning Classification as a Variable in Regression Leads to Attenuation Bias and What to Do About It," SocArXiv 453jk, Center for Open Science.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wil:wileco:2003-10. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Greg Phelan (email available below). General contact details of provider: https://edirc.repec.org/data/edwilus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.