Publications by authors named "D K Remler"

Context: US government poverty measures do not include health insurance in the threshold or health insurance benefits in resources. Yet the 2019 Economic Report of the President presented long-term trends using the full-income poverty measure (FPM), which includes health insurance benefits as resources. A 2021 technical advisory report recommended statistical agencies produce absolute poverty trends with and without health insurance.

View Article and Find Full Text PDF

Two decades ago Congress enabled Americans to open tax-favored health savings accounts (HSAs) in conjunction with qualifying high-deductible health plans (HDHPs). This HSA tax break is regressive: Higher-income Americans are more likely to have HSAs and fund them at higher levels. Proponents, however, have argued that this regressivity is offset by reductions in wasteful health care spending because consumers with HDHPs are more cost-conscious in their use of care.

View Article and Find Full Text PDF

Objective: To re-evaluate the effect of Medicaid on poverty using a poverty measure that accounts for health insurance needs and benefits and an evaluation approach that reflects disparities in access to alternative coverage.

Data Sources: The Current Population Survey (CPS) for calendar year 2015.

Study Design: We estimate the effect of losing Medicaid on poverty, combining two previous approaches: (1) A propensity impact, which simulates a no-Medicaid counterfactual incorporating changes to health insurance and medical out-of-pocket spending, using the Supplemental Poverty Measure (SPM).

View Article and Find Full Text PDF

The effects of health insurance on poverty have been difficult to ascertain because US poverty measures have not taken into account the need for health care and the value of health benefits. We developed the first US poverty measure to include the need for health insurance and to count health insurance benefits as resources available to meet that need-in other words, a health-inclusive poverty measure. We estimated the direct effects of health insurance benefits on health-inclusive poverty for people younger than age sixty-five, comparing the impacts of different health insurance programs and of nonhealth means-tested cash and in-kind benefits, refundable tax credits, and nonhealth social insurance programs.

View Article and Find Full Text PDF