2012
DOI: 10.1353/jhr.2012.0030
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The Effects of State Medicaid Policies on the Dynamic Savings Patterns and Medicaid Enrollment of the Elderly

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Cited by 12 publications
(4 citation statements)
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“…Ungaro and Federman (2009) found that persons in states with liberalized Medicaid eligibility rules (rules that exclude certain income or asset amounts when making eligibility determinations) were more likely to enroll in Medicaid. Pezzin and Kasper (2002) and Gardner and Gilleskie (2012) found that persons in states with more generous coverage for HCBS were more likely to enroll in Medicaid. Examining the effects of state Medicaid expansions in the 2000s, McInerney, Mellor, and Sabik (2017) found some evidence that low‐income older adults were more likely to be enrolled in Medicaid in states with more generous Medicaid eligibility for adults ages 20 to 64 years old.…”
Section: Background and Related Literaturementioning
confidence: 99%
“…Ungaro and Federman (2009) found that persons in states with liberalized Medicaid eligibility rules (rules that exclude certain income or asset amounts when making eligibility determinations) were more likely to enroll in Medicaid. Pezzin and Kasper (2002) and Gardner and Gilleskie (2012) found that persons in states with more generous coverage for HCBS were more likely to enroll in Medicaid. Examining the effects of state Medicaid expansions in the 2000s, McInerney, Mellor, and Sabik (2017) found some evidence that low‐income older adults were more likely to be enrolled in Medicaid in states with more generous Medicaid eligibility for adults ages 20 to 64 years old.…”
Section: Background and Related Literaturementioning
confidence: 99%
“…Fourth, the MCBS data suggest that one type of misclassification error-false negative reports-exhibits year-toyear variation that differs across states among low-income community dwelling older adults. This is notable since many prior studies on the effects of state policies on duals' Medicaid participation use difference-in-difference models that rely on the common trends assumption or the assumption that preperiod patterns in Medicaid participation are similar in states that experience policy interventions and states that do not (Gardner & Gilleskie, 2012;McInerney et al, 2017;Pezzin & Kasper, 2002;Ungaro & Federman, 2009). While many factors could lead this assumption to be violated, one factor could be the presence of differential trends in misclassification across states; our results suggest that factor may be a concern in some populations, at least in our data set and time period (2011)(2012)(2013).…”
Section: Discussionmentioning
confidence: 99%
“…Dual Medicare–Medicaid enrollees represent a costly and vulnerable population. Research studies on duals—including studies on dual Medicaid enrollment and how it is affected by policy changes (Borella et al, 2018; Ettner, 1997; Gardner & Gilleskie, 2012; McInerney et al, 2017; Pezzin & Kasper, 2002; Ungaro & Federman, 2009), studies on the association between dual enrollment and health care utilization (Moon & Shin, 2006; Rahman, Tyler, Thomas, Grabowski, & Mor, 2015), or studies of health, disability, and service use within the dual-eligible population (Reichard & Fox, 2013)—can offer important lessons for public policy and public health. Investigations of these issues based on survey data will benefit from careful attention to the potential for misclassification of Medicaid participation and ways to address the bias arising from it.…”
Section: Discussionmentioning
confidence: 99%
“…Hurst and Ziliak (2006) find no evidence that the relaxation of welfare asset limits in the 1990s increased the savings of younger households. Likewise, Gardner and Gilleskie (2012) examine state-level reforms that increased Medicaid generosity and find no evidence that Medicaid crowds out private savings. In contrast, Greenhalgh-Stanley (2012) shows that estate-recovery programs, which enforce Medicaid asset limits among homeowners, crowd out home equity holdings and reduce homeownership.…”
Section: Means-tested Programs and Savings Crowd-outmentioning
confidence: 99%