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From this page you can view our recent publications, listed below with the most recent at the top of the list.

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Publication Year: 2014

This analysis was conducted by the State Health Access Data Assistance Center (SHADAC) to estimate the geographic concentration of the uninsured across U.S. counties.  The estimates are from the 2011 Small Area Health Insurance Estimates (SAHIE) program at the U.S. Census Bureau. The SAHIE program models health insurance coverage by combining survey estimates with administrative records, population estimates, and the decennial census.  This method produces annual estimates for all counties and includes a limited set of demographic features.  The advantage of using the SAHIE is that it is the only source of annual estimates of number of uninsured for all counties. 

Publication Year: 2013

In this article, authors Jean Abraham, Pinara Karaca-Mandic, and Michel Boudreaux, generate national-, regional-, and state-level estimates of the individual health insurance market using multiple federal surveys and administrative data from the National Association of Insurance Commissioners (NAIC). 

Publication Year: 2013

This technical brief provides information, and example STATA and SAS code, for using the SHADAC Health Insurance Unit (HIU) and Federal Poverty Guideline (FPG) microdata variables that are available through the Minnesota Population Center's Integrated Public Use Microdata Series (IPUMS) for the American Community Survey (ACS) and the Current Population Survey (CPS).  The example code will also allow analysts to replicate estimates available from the SHADAC Data Center.

Publication Year: 2013

Presentation by SHADAC Senior Research Fellow Joanna Turner at the 2013 Research Conference of the Federal Committee on Statistical Methodology (FCSM), on November 4, 2013, in Washington, DC.

Publication Year: 2013

Presentation by SHARE Deputy Director Donna Spencer on October 18, 2013, at the 27th Annual Conference of the American Evaluation Association (AEA) in Washington, D.C.  Dr. Spencer presented the results of a systematic review of the data and methods used to conduct SHARE-funded research during the course of the grant program.  She also discussed the lessons learned about the various approaches used.