Submitted use cases J-PAL (Abdul Latif Jameel Poverty Action Lab)
Submitted use cases Federal Data Strategy
Notes When researchers studied administrative and other data in connection with Oregon's Medicaid expansion, they found enrollment was associated with lower depression rates, higher ER use, and no significant change on employment. Submitted by: J-PAL North America. When researchers worked with H&R Block, they found that a streamlined aid process improved access to college for individuals with limited means. Submitted by: J-PAL North America. When South Carolina launched an Integrated Data System, it made it easier for the government and independent evaluators to assess the impact of government programs. Submitted by: J-PAL North America. When researchers leading the Moving to Opportunity (MTO) experiment used access to tax records to comprehensively examine the long-term impacts of housing voucher programs and moves to lower-poverty neighborhoods, then they were able to conduct the critical long-term follow-up analysis to assure equivalent data coverage for both treatment and control groups without incurring the formidable and expensive task of long-term surveys. Submitted by: J-PAL North America. When South Carolina replaced their quasi-random, “round robin” procedure, to a explicitly random procedure for Medicaid beneficiaries, then researchers were able to analyze the effect of different managed care plans by matching records of beneficiaries’ plan assignments to various sources of administrative data, including data from Medicaid claims, the Department of Mental Health, the Department of Alcohol and Drug Abuse Services, and vital records for “cream skimming” effects—i.e., whether differences in health outcomes across MCOs is the result of different features of the MCOs. Submitted by: J-PAL North America.
Updated almost 3 years ago

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