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Estimating Heterogeneous Takeup and Crowd-Out Responses to Existing Medicaid Income Limits and their Nonmarginal Expansions

Estimating Heterogeneous Takeup and Crowd-Out Responses to Existing Medicaid Income Limits and... John C. Ham Serkan Ozbeklik Lara D. Shore-Sheppard Ham, Ozbeklik, and Shore-Sheppard abstract We use a switching probit model and the income-limit-based structure of Medicaid eligibility for children to estimate treatment effects of nonmarginal Medicaid expansions on Medicaid takeup, private insurance coverage, and crowd-out, as well as crowd-out for those eligible for Medicaid under rules already in place. Many of these estimates are not found in existing work on public insurance and cannot be calculated with the liar probability model used by previous work in this literature. We provide an estimation approach that is straightforward to implement yet yields precise treatment effects. I. Introduction In recent years, eligibility for public health insurance has expanded substantially, leading to a burgeoning research literature on the implications of such John Ham is a professor of economics at the University of Maryland; a visiting professor of economics at the National University of Singapore; an affiliated researcher at the Institute for Labour Market Policy Evaluation, Uppsala University; an international research fellow at the Institute for Fiscal Studies; a research affiliate at the Institute for Research on Poverty, University of Wisconsin-Madison; and a research associate at the Institute for the Study of Labor, Bonn. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Human Resources University of Wisconsin Press

Estimating Heterogeneous Takeup and Crowd-Out Responses to Existing Medicaid Income Limits and their Nonmarginal Expansions

Ham, John C.
Journal of Human Resources , Volume 49 (4) – Nov 5, 2014
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Publisher
University of Wisconsin Press
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©by the Board of Regents of the University of Wisconsin System
ISSN
1548-8004
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Abstract

John C. Ham Serkan Ozbeklik Lara D. Shore-Sheppard Ham, Ozbeklik, and Shore-Sheppard abstract We use a switching probit model and the income-limit-based structure of Medicaid eligibility for children to estimate treatment effects of nonmarginal Medicaid expansions on Medicaid takeup, private insurance coverage, and crowd-out, as well as crowd-out for those eligible for Medicaid under rules already in place. Many of these estimates are not found in existing work on public insurance and cannot be calculated with the liar probability model used by previous work in this literature. We provide an estimation approach that is straightforward to implement yet yields precise treatment effects. I. Introduction In recent years, eligibility for public health insurance has expanded substantially, leading to a burgeoning research literature on the implications of such John Ham is a professor of economics at the University of Maryland; a visiting professor of economics at the National University of Singapore; an affiliated researcher at the Institute for Labour Market Policy Evaluation, Uppsala University; an international research fellow at the Institute for Fiscal Studies; a research affiliate at the Institute for Research on Poverty, University of Wisconsin-Madison; and a research associate at the Institute for the Study of Labor, Bonn.

Journal

Journal of Human Resources – University of Wisconsin Press

Published: Nov 5, 2014

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