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• W2891569281 endingPage "e021533" @default.
• W2891569281 startingPage "e021533" @default.
• W2891569281 abstract "In order to improve health outcomes, the federal government allocates hundreds of billions of annual dollars to individual states in order to further the well-being of its citizens. This study examines the impact of such federal intergovernmental transfers on reducing state-level infant mortality rates.Annual data are collected from all 50 US states between 2004 and 2013.Entire US population under the age of 1 year between 2004 and 2013.State-level infant mortality rate, neonatal mortality rate and postneonatal mortality rate.Using a fixed effects regression model to control for unmeasurable differences between states, the impact of federal transfers on state-level infant mortality rates is estimated. After controlling for differences across states, increases in per capita federal transfers are significantly associated with lower infant, neonatal and postneonatal mortality rates. Holding all other variables constant, a $200 increase in the amount of federal transfers per capita would save one child's life for every 10 000 live births.Considerable debate exists regarding the role of federal transfers in improving the well-being of children and families. These findings indicate that increases in federal transfers are strongly associated with reductions in infant mortality rates. Such benefits should be carefully considered when state officials are deciding whether to accept or reject federal funds." @default.
• W2891569281 created "2018-09-27" @default.
• W2891569281 creator A5063544125 @default.
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• W2891569281 date "2018-09-01" @default.
• W2891569281 modified "2023-09-29" @default.
• W2891569281 title "Impact of federal transfers upon US infant mortality rates: a secondary analysis using a fixed effects regression approach" @default.
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• W2891569281 doi "https://doi.org/10.1136/bmjopen-2018-021533" @default.
• W2891569281 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6150148" @default.
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• W2891569281 hasPublicationYear "2018" @default.
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