Short abstract
Policymakers in Connecticut are considering expanding eligibility for HUSKY, Connecticut's Medicaid program, by removing immigration status requirements for additional groups of residents by age and eligibility category, including the potential expansion of HUSKY C, the program for residents who are ages 65 and older, blind, or disabled. In this study, the authors use microsimulation modeling to estimate the effects of these eligibility expansions.
Keywords: Connecticut, Health Care Costs, Health Insurance, Immigrants and Emigrants
Abstract
Policymakers in Connecticut have used state funding to expand eligibility for HUSKY, Connecticut's Medicaid and Children's Health Insurance Program (CHIP), to children (through age 15) and to pregnant people who do not qualify for federally funded Medicaid or CHIP coverage because of their immigration status. Policymakers are considering further expansions of eligibility for HUSKY for the remaining population of children and adults. In addition to expansions of HUSKY A (Medicaid for children, parents or caregivers, and pregnant people), HUSKY B (CHIP), and HUSKY D (Medicaid for adults without minor children), policymakers are also considering expanding eligibility for HUSKY C, the program for residents who are ages 65 and older, blind, or disabled, to immigrants. In this study, the authors use microsimulation modeling to estimate the effects of expanding HUSKY eligibility to additional groups by age and eligibility category.
Noncitizen immigrants represent roughly 8 percent of the U.S. population but represent more than 30 percent of the uninsured population (Buettgens and Ramchandani, 2023). Undocumented immigrants are generally ineligible for all forms of federally funded health insurance, including Medicaid, Medicare, and coverage on the Health Insurance Marketplace. Legally present immigrants who have held “qualified immigrant” status for fewer than five years are generally ineligible for Medicaid and Medicare coverage, although they are permitted to enroll in Health Insurance Marketplace coverage and receive subsidies (U.S. Department of Health and Human Services, undated).1
Several states have used state funding to extend health insurance coverage to immigrants who are ineligible for federally funded coverage, whom we refer to as ineligible immigrants in this study. Connecticut is one such state and has extended coverage for HUSKY, the state's Medicaid program, to a subset of immigrants. There are four HUSKY programs that serve different populations:
HUSKY A: Medicaid for children ages 0–18, parents or caregivers, and pregnant people
HUSKY B: Children's Health Insurance Program (CHIP) for children ages 0–18
HUSKY C: Medicaid for adults who are ages 65 and older, blind, or disabled
HUSKY D: Medicaid for adults ages 19–64 without minor children
Connecticut policymakers first extended HUSKY coverage to ineligible immigrants in 2021 by allowing income-eligible children ages 8 and younger to enroll in HUSKY A or HUSKY B, regardless of immigration status. The age threshold was extended to age 12 in January 2023 and then to age 15 in July 2024 (Hirshman, 2024). Ineligible immigrants who are pregnant are also permitted to enroll in coverage via HUSKY B and can maintain that coverage for 12 months postpartum.
Policymakers are considering further extending eligibility for HUSKY A and B to the remaining ineligible immigrant population of children through age 18. Policymakers are also considering expanding HUSKY A, B, and D to the adult population, with or without the additional expansion of HUSKY C. Furthermore, policymakers are considering options for covering the population of adults ages 65 and older; under existing eligibility requirements, only adults ages 19–64 qualify for HUSKY D because individuals ages 65 and older are assumed to be eligible for Medicare. However, covering seniors through HUSKY C could be much more expensive than covering them through HUSKY D because HUSKY C has more generous coverage of long-term care. Therefore, we consider a scenario in which HUSKY D eligibility is extended to seniors. Other than this exception, in the scenarios we model, these programs would retain all existing age- and income-based eligibility requirements but would no longer have any requirements related to immigration status.
Table 1 summarizes the details of these policy scenarios. In this study, we use microsimulation modeling to understand the effects of such expansions on insurance enrollment and state spending in Connecticut.
Table 1.
Policy Scenarios
| Scenario | Eligibility for Immigrants, by HUSKY Program | |||
|---|---|---|---|---|
| HUSKY A | HUSKY B | HUSKY C | HUSKY D | |
| Existing law | Children ages 0–15 | Children ages 0–15; pregnant and postpartum individuals | None | None |
| Eligible populations in addition to those covered under existing law | ||||
| Scenario 1: Children and young adults | Children ages 16–18; parents or caregivers ages 19–25 | Children ages 16–18 | None | Adults ages 19–25 without minor children |
| Scenario 2: Children and young adults + HUSKY C | Children ages 16–18; parents or caregivers ages 19–25 | Children ages 16–18 | Adults ages 19–25 | Adults ages 19–25 without minor children |
| Scenario 3: All ages | Children ages 16–18; parents or caregivers ages 19 and older | Children ages 16–18 | None | Adults ages 19–64 without minor children |
| Scenario 4: All ages + HUSKY C | Children ages 16–18; parents or caregivers ages 19 and older | Children ages 16–18 | Adults ages 19 and older | Adults ages 19–64 without minor children |
| Scenario 5: All ages + HUSKY D for seniors | Children ages 16–18; parents or caregivers ages 19 and older | Children ages 16–18 | None | Adults ages 19 and older without minor children |
Methods
COMPARE is a nationally representative microsimulation model in which individuals and households make choices about health insurance. We make several updates to the COMPARE microsimulation model so that it represents Connecticut and allows for analyses of the scenarios under consideration, including
reweighting the data underlying the model to represent the population size and key demographics (e.g., age, sex, income, insurance status, race, ethnicity) of Connecticut
imputing undocumented immigrant status using an algorithm informed by the literature that identifies potential undocumented immigrants by ruling out citizens and individuals who report receiving benefits unavailable to undocumented immigrants (e.g., Medicaid, Supplemental Security Income) or who report having occupations that are not available to undocumented immigrants, such as police officer (Passel and Cohn, 2018; Van Hook et al., 2021)
using data from the Migration Policy Institute about the total number of undocumented adults and children in Connecticut
imputing pregnancy status by using data specific to Connecticut by age, race, and ethnicity for women ages 15–45
imputing disability status in the undocumented immigrant population by age, income, gender, race, ethnicity, and health status.
There are uncertainties related to health insurance take-up and medical spending among undocumented immigrants. As a default, we assume both take-up and medical spending are similar to those of the general population in Connecticut by demographic characteristics, but we conduct sensitivity analyses using higher and lower take-up.2
Results
Expanding eligibility for HUSKY by removing immigration status as an eligibility requirement would result in increased rates of insurance and increased costs to the state, although findings varied according to which age groups and HUSKY programs were included in the proposed expansions (Table 1). In particular, we note the following results (summarized in Table 2):
Table 2.
Summary of Changes in Enrollment and State Spending Relative to Existing Law, 2025
| Scenario 1: Children and Young Adults | Scenario 2: Children and Young Adults + HUSKY C | Scenario 3: All Ages | Scenario 4: All Ages + HUSKY C | Scenario 5: All Ages + HUSKY D for Seniors | |
|---|---|---|---|---|---|
| Change in insurance enrollment (N) | 6,400 | 6,400 | 21,700 | 23,100 | 22,400 |
| Change in insurance enrollment | 12.3% | 12.3% | 41.9% | 44.5% | 43.2% |
| Change in HUSKY enrollment (N) | 6,900 | 6,900 | 22,800 | 24,400 | 23,600 |
| Change in HUSKY enrollment | 34.8% | 35.0% | 115.7% | 123.7% | 119.5% |
| Change in total costs to the state ($ millions) | $38.6 | $39.9 | $186.2 | $252.4 | $203.2 |
| Change in total costs to the state | 37.5% | 38.7% | 180.6% | 244.8% | 197.1% |
Total insurance enrollment would increase by 6,400 individuals when extending HUSKY A, B, and D to those ages 16–25. The addition of HUSKY C for this age group would have little effect.
Enrollment would increase by 22,600 to 24,400 individuals when HUSKY eligibility is expanded to all people who would otherwise qualify, depending on whether HUSKY C is also expanded or whether seniors are made eligible for HUSKY D.
The total number of individuals covered by HUSKY would increase by more than the change in total insurance coverage across all scenarios because a small number of immigrants previously covered by other insurance types (e.g., employer-sponsored coverage, off-marketplace individual market coverage) would switch to HUSKY.
Costs to the state would be approximately $39 to $40 million when extending coverage to those ages 16–25 only.
Costs would increase substantially when extending coverage to all ages (subject to the existing age requirements in each HUSKY program). Expanding HUSKY A, B, and D to all eligible ages (Scenario 3) would result in the smallest increase in costs relative to existing law at $186 million. The addition of HUSKY C for this group would lead to spending $252 million relative to existing law because of the cost of long-term care under HUSKY C. Additionally expanding access to HUSKY D for seniors (a departure from existing age-based eligibility requirements), rather than expanding HUSKY C, would cost the state $203 million relative to existing law.
Discussion
Our analyses suggest that policymakers in Connecticut should consider the following findings from our models when evaluating the options for expanding HUSKY coverage:
Removing immigration status requirements from Medicaid and CHIP eligibility to children and young adults ages 16–25 would substantially reduce uninsurance among this population and comes at a relatively low cost to Connecticut. The addition of HUSKY C would make little difference to this population because of the low rate of disability.
Further expanding Medicaid coverage to the remaining adult population via HUSKY A, B, and D (Scenario 3) would increase insurance coverage by a greater proportion among adults through age 64 but to a much lesser extent to adults ages 65 and older because seniors do not qualify for HUSKY D and would gain coverage in this scenario only if they were parents or caregivers to a minor child.
Including HUSKY C in the expansion would result in an almost 40-percentage point reduction in uninsurance among seniors but would substantially increase costs to Connecticut because of the coverage of long-term care under HUSKY C.
Allowing seniors to enroll in HUSKY D would result in almost as large of an increase in insurance coverage among adults ages 65 and older as the HUSKY C expansion but at a lower cost to Connecticut. However, this policy scenario would involve a difference in eligibility requirements relative to the federally funded HUSKY D program.
This research was sponsored by the Universal Health Care of Connecticut and the HUSKY 4 Immigrants Coalition and carried out within the Payment, Cost, and Coverage Program in RAND Health Care.
Notes
Some states waive the five-year waiting period for legally present pregnant people or children.
This assumption differs from prior RAND research in this setting (see Rao, Girosi, and Eibner, 2022). In the prior work, our default assumption was that medical spending and insurance take-up rates would be lower among the undocumented immigrant population than among the general population. Since that work was published, anecdotal evidence from both Connecticut and other states has suggested that enrollment and costs of health insurance programs immigrants have exceeded predictions, which is reflected in our updated assumptions in this study.
References
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