The poverty-reducing effect of Medicaid
Medicaid provides health insurance for 54 million Americans. Using the Census Bureau's Supplemental Poverty Measure (which subtracts out-of-pocket medical expenses from family resources), we estimated the impact of eliminating Medicaid. In our counterfactual, Medicaid beneficiaries would become uninsured or gain other insurance. Counterfactual medical expenditures were drawn stochastically from propensity-score-matched individuals without Medicaid. While this method captures the importance of risk protection, it likely underestimates Medicaid's impact due to unobserved differences between Medicaid and non-Medicaid individuals. Nonetheless, we find that Medicaid reduces out-of-pocket medical spending from $871 to $376 per beneficiary, and decreases poverty rates by 1.0% among children, 2.2% among disabled adults, and 0.7% among elderly individuals. When factoring in institutionalized populations, an additional 500,000 people were kept out of poverty. Overall, Medicaid kept at least 2.6 million—and as many as 3.4 million—out of poverty in 2010, making it the U.S.’s third largest anti-poverty program.
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- Finkelstein, Amy & McKnight, Robin, 2008. "What did Medicare do? The initial impact of Medicare on mortality and out of pocket medical spending," Journal of Public Economics, Elsevier, vol. 92(7), pages 1644-1668, July.
- Currie, Janet & Gruber, Jonathan, 1996. "Saving Babies: The Efficacy and Cost of Recent Changes in the Medicaid Eligibility of Pregnant Women," Journal of Political Economy, University of Chicago Press, vol. 104(6), pages 1263-96, December.
- Amy Finkelstein & Sarah Taubman & Bill Wright & Mira Bernstein & Jonathan Gruber & Joseph P. Newhouse & Heidi Allen & Katherine Baicker & The Oregon Health Study Group, 2011.
"The Oregon Health Insurance Experiment: Evidence from the First Year,"
NBER Working Papers
17190, National Bureau of Economic Research, Inc.
- Amy Finkelstein & Sarah Taubman & Bill Wright & Mira Bernstein & Jonathan Gruber & Joseph P. Newhouse & Heidi Allen & Katherine Baicker, 2012. "The Oregon Health Insurance Experiment: Evidence from the First Year," The Quarterly Journal of Economics, Oxford University Press, vol. 127(3), pages 1057-1106.
- Finkelstein, Amy, et al., 2011. "The Oregon Health Insurance Experiment: Evidence from the First Year," Working Paper Series rwp11-040, Harvard University, John F. Kennedy School of Government.
- McClellan, Mark & Skinner, Jonathan, 2006.
"The incidence of Medicare,"
Journal of Public Economics,
Elsevier, vol. 90(1-2), pages 257-276, January.
- Benjamin Sommers, 2005. "Who Really Pays for Health Insurance? The Incidence of Employer-Provided Health Insurance with Sticky Nominal Wages," International Journal of Health Care Finance and Economics, Springer, vol. 5(1), pages 89-118, January.
- Currie, Janet & Gruber, Jonathan, 1996.
"Health Insurance Eligibility, Utilization of Medical Care, and Child Health,"
The Quarterly Journal of Economics,
MIT Press, vol. 111(2), pages 431-66, May.
- Janet Currie & Jonathan Gruber, 1995. "Health Insurance Eligibility, Utilization of Medical care, and Child Health," NBER Working Papers 5052, National Bureau of Economic Research, Inc.
- John C. Weicher, 1999. "Some Income-Measurement Issues and Their Policy Implications," American Economic Review, American Economic Association, vol. 89(2), pages 29-33, May.
- Heckman, James, 2013.
"Sample selection bias as a specification error,"
Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
- Wilbert van der Klaauw & Kenneth I. Wolpin, 2005.
"Social Security and the Retirement and Savings Behavior of Low Income Households,"
PIER Working Paper Archive
05-020, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- van der Klaauw, Wilbert & Wolpin, Kenneth I., 2008. "Social security and the retirement and savings behavior of low-income households," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 21-42, July.
- Cutler, David M & Gruber, Jonathan, 1996.
"Does Public Insurance Crowd Out Private Insurance?,"
The Quarterly Journal of Economics,
MIT Press, vol. 111(2), pages 391-430, May.
- David M. Cutler & Jonathan Gruber, 1995. "Does Public Insurance Crowd Out Private Insurance?," NBER Working Papers 5082, National Bureau of Economic Research, Inc.
- Busch, Susan H. & Duchovny, Noelia, 2005. "Family coverage expansions: Impact on insurance coverage and health care utilization of parents," Journal of Health Economics, Elsevier, vol. 24(5), pages 876-890, September.
- Hamersma, Sarah & Kim, Matthew, 2013. "Participation and crowd out: Assessing the effects of parental Medicaid expansions," Journal of Health Economics, Elsevier, vol. 32(1), pages 160-171.
- Summers, Lawrence H, 1989. "Some Simple Economics of Mandated Benefits," American Economic Review, American Economic Association, vol. 79(2), pages 177-83, May.
- Gruber, Jonathan & Simon, Kosali, 2008. "Crowd-out 10 years later: Have recent public insurance expansions crowded out private health insurance?," Journal of Health Economics, Elsevier, vol. 27(2), pages 201-217, March.
- Rajeev H. Dehejia & Sadek Wahba, 2002.
"Propensity Score-Matching Methods For Nonexperimental Causal Studies,"
The Review of Economics and Statistics,
MIT Press, vol. 84(1), pages 151-161, February.
- Rajeev H. Dehejia & Sadek Wahba, 1998. "Propensity Score Matching Methods for Non-experimental Causal Studies," NBER Working Papers 6829, National Bureau of Economic Research, Inc.
- Gabriel Chodorow-Reich & Laura Feiveson & Zachary Liscow & William Gui Woolston, 2012. "Does State Fiscal Relief during Recessions Increase Employment? Evidence from the American Recovery and Reinvestment Act," American Economic Journal: Economic Policy, American Economic Association, vol. 4(3), pages 118-45, August.
- Gilleskie, Donna B. & Mroz, Thomas A., 2004. "A flexible approach for estimating the effects of covariates on health expenditures," Journal of Health Economics, Elsevier, vol. 23(2), pages 391-418, March.
- 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.
- Donna B. Gilleskie, 1998. "A Dynamic Stochastic Model of Medical Care Use and Work Absence," Econometrica, Econometric Society, vol. 66(1), pages 1-46, January.
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