Literature DB >> 13677565

State variation in SCHIP allocations: how much is there, what are its sources, and can it be reduced?

Michael Davern1, Lynn A Blewett, Boris Bershadsky, Kathleen Thiede Call, Todd Rockwood.   

Abstract

Allocations for the State Children's Health Insurance Program (SCHIP) varied 22% per state between 1999 and 2002. The funding fluctuations present significant problems for states as they develop budget priorities under difficult fiscal conditions. We examine sources of the variation in state allocations during the first four years of SCHIP, focusing on the Current Population Survey's "child component" of the allocation formula. We consider the trade-offs in using alternative estimates from the American Community Survey and model-based estimation. Obtaining reliable estimates of need for SCHIP allocations is critical for states dependent on federal support for insurance programs.

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Year:  2003        PMID: 13677565     DOI: 10.5034/inquiryjrnl_40.2.184

Source DB:  PubMed          Journal:  Inquiry        ISSN: 0046-9580            Impact factor:   1.730


  5 in total

1.  Meeting the need for state-level estimates of health insurance coverage: use of State and Federal survey data.

Authors:  Lynn A Blewett; Michael Davern
Journal:  Health Serv Res       Date:  2006-06       Impact factor: 3.402

2.  Are the Current Population Survey uninsurance estimates too high? An examination of the imputation process.

Authors:  Michael Davern; Holly Rodin; Lynn A Blewett; Kathleen Thiede Call
Journal:  Health Serv Res       Date:  2007-10       Impact factor: 3.402

3.  The American Community Survey and health insurance coverage estimates: possibilities and challenges for health policy researchers.

Authors:  Michael Davern; Brian C Quinn; Genevieve M Kenney; Lynn A Blewett
Journal:  Health Serv Res       Date:  2008-11-24       Impact factor: 3.402

4.  An examination of the Medicaid undercount in the current population survey: preliminary results from record linking.

Authors:  Michael Davern; Jacob Alex Klerman; David K Baugh; Kathleen Thiede Call; George D Greenberg
Journal:  Health Serv Res       Date:  2009-01-28       Impact factor: 3.402

5.  Improvements in Uninsurance Estimates for Fully Imputed Cases in the Current Population Survey Annual Social and Economic Supplement.

Authors:  Heide Jackson; Edward R Berchick
Journal:  Inquiry       Date:  2020 Jan-Dec       Impact factor: 1.730

  5 in total

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