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Estimating Heterogeneous Take-up and Crowd-Out Responses to Marginal and Non-Marginal Medicaid Expansions

Author

Listed:
  • Ham, John C.

    (New York University, Abu Dhabi)

  • Ozbeklik, Serkan

    (Claremont McKenna College)

  • Shore-Sheppard, Lara

    (Williams College)

Abstract

We use a linear probability model with interactions and a switching probit model (SPM) to estimate heterogeneous effects of Medicaid expansions on Medicaid take-up, private insurance coverage and crowd-out. Specifically, we estimate: i) LATEs; ii) ATETs for the currently eligible; and iii) ATETs for those made eligible by a non-marginal (counterfactual) expansion in Medicaid eligibility. Both estimation methods can control for observable differences across individuals, while SPM can also control for unobservable differences. For Medicaid take-up and private insurance coverage, the effects are precisely estimated and differ dramatically across demographic groups, but this is less true for the crowd-out estimates.

Suggested Citation

  • Ham, John C. & Ozbeklik, Serkan & Shore-Sheppard, Lara, 2011. "Estimating Heterogeneous Take-up and Crowd-Out Responses to Marginal and Non-Marginal Medicaid Expansions," IZA Discussion Papers 5779, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp5779
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    References listed on IDEAS

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    1. 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..
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    Cited by:

    1. Marianne P. Bitler & Madeline Zavodny, 2014. "Medicaid: A Review of the Literature," NBER Working Papers 20169, National Bureau of Economic Research, Inc.
    2. Neeraj Sood & Zachary Wagner & Yanyu Wu, 2015. "The Impact of Insurance on HIV Testing," American Journal of Health Economics, MIT Press, vol. 1(4), pages 515-536, Fall.
    3. Neeraj Sood & Yanyu Wu, 2013. "The Impact of Insurance and HIV Treatment Technology on HIV Testing," NBER Working Papers 19397, National Bureau of Economic Research, Inc.

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    More about this item

    Keywords

    switching probit model; treatment effects; crowd-out; take-up; Medicaid expansions; linear probability model with interactions; counterfactual policy analysis;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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