Search Results for poverty measurement

...Dahlia K. Remler; Sanders Korenman Abstract 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...

.... Consequently, when medical benefits are added to income to estimate their antipoverty impact between 1968 and 1974, the choice of measurement approach remains important. The estimated amount of poverty reduction attributable to Medicare and Medicaid ranges between 26 and 61 percent. Copyright © 1981...

..., p < 0.05). They find less consistent support for redistribution and poverty reduction measures. Conclusions: The authors conclude that in addition to generalized effects of policy generosity on health, status-preserving social insurance may be an important, and relatively overlooked, mechanism...

... protection. We applied the policy database's detailed criteria to employment data from the U.S. Current Population Survey Annual Social and Economic Supplement to analyze eligibility by race/ethnicity, gender, and education. We measured benefit adequacy by analyzing whether family income would drop below...

... per 1,000 persons on the group's measure of isolation, and then on the county-level measure of unevenness. We control for the total population of the county (in millions), the share of households in the county with incomes below the poverty line, and the share of the county that works in frontline...

.../MedicaidReport2017.pdf (accessed November 10 , 2018 ). Cubanski Juliette , Orgera Kendal , Damico Anthony , and Neuman Tricia . 2018 . “ How Many Seniors Are Living in Poverty? National and State Estimates under the Official and Supplemental Poverty Measures in 2016 .” Kaiser...

... numerous to summarize here. The book is packed with statistics, detailed explanations of program policies, and even an appendix on differing poverty measures for Medi- care beneficiaries. Although it may be intended as a primer for Medicare novices, A Policy Primer’s depth and density mean...

... of program policies, and even an appendix on differing poverty measures for Medi- care beneficiaries. Although it may be intended as a primer for Medicare novices, A Policy Primer’s depth and density mean that it will be a tough read for some audiences; the book is probably not suitable for adoption...

... Poverty Adjustment To determine state Medicaid generosity to the poor, it is necessary to have an accurate measure of the number of poor in a state. Unfortunately, the measure we obtained for 1975 and 1979 from the Statistical Abstract has a major flaw for our purposes: namely, it fails...

... . London : Allen and Unwin . ———. 2002 . United States Poverty Studies and Poverty Measurement: The Past Twenty-five Years . Social Service Review 76 : 83 – 107 . ———. 2007 . British Social Policy: 1945 to the Present . Oxford : Blackwell . ———. 2009 . Understanding the Finance...

... accepting private insurance. Data on discriminatory denials of care to children with public insurance came from an audit study involving 273 practices across seven medical specialties serving children in Cook County, Illinois. These data were linked to physician workforce data and neighborhood poverty data...

... and enlightening study, Joanna Mack and Stewart Laneley dispel these dangerous shibboleths and present crucial insights into the meaning and measurement of poverty in contemporary Britain and, by inference, everywhere else. The book is based on a series of London Weekend Television programs, aptly...

... of the poverty line will differ from the probabilities observed among those with incomes at 100 percent of the poverty line. The innovation in this article is to use a two-step estimation strategy to provide a standardized measure of enrollment across the states...

.... We use data from the New Jersey Medicaid program and census demographic information to characterize the selected communities. In addition to measures of the total population, poverty rate, and number of Medicaid enrollees in each study area, we calculate the ratio of enrollees to the number...

... from the University of Kentucky Poverty Research Center's National Welfare Data set. We use data from the Annual Social and Economic Supplements to the Current Population Survey for 1992–2017 to create our additional state policy measures. Finally, we use data compiled by the US Department of Commerce...

... spending (including federal and state dollars) for LTC relative to the population below 400 percent of poverty. We use this income cohort as the divisor because it encompasses most people likely to spend down to become eligible for Medicaid (Weiner et al. 2013 ). Our measure of commitment should...

...-varying demographic factors including population size, race (percent black and percent Hispanic), poverty, and income. The primary independent variable in the models gauges Medicaid policy concentration by measuring the percent of county residents younger than 18 years old enrolled in Medicaid...

... below the poverty line in 1979, as reported in the 1980 census.’ We first develop a measure of equity that incorporates both eligibility and benefit coverage. The programming model is then used to find the maximum level of equity that can be achieved, given four classes of constraints: (1...

... percent of the federal poverty line, but do not receive cash payments. It also misses persons who lose welfare payments due to increased earn- ings but keep Medicaid benefits for a limited time. The measure of expenditures for the med- ically needy comes from a column in the table of the same name...

...   Σ   c l i n i c   a v a i l a b i l i t y . Finally, we integrate the spatial access data with a measure of nonspatial access, the percent of the population that is below 150% of the federal poverty line. While some I2SFCA use multidimensional measures of nonspatial...