SHADAC's technical briefs provide a technical description of specific data analysis techniques. These are listed below by topic.
"Medicaid Under-reporting in the CPS and One Approach for a Partial Correction" presents parameters from two logistic regression models. These parameters can be used to predict the probability that the Medicaid administrative data imply that a CPS sample member actually had Medicaid.
Also see SHADAC's page on the Medicaid undercount.
Small Area Estimation
"Estimating SCHIP/Medicaid Eligible but Not Enrolled at the County Level" describes a process for estimating the number of SCHIP/Medicaid eligible but not enrolled children in all of a state’s counties.
"Small Area Estimation Technique for Oklahoma" describes the small area estimation technique employed by SHADAC for the 2008 Oklahoma Health Care Insurance and Access Survey (OHIS). The analysis was used to develop county-level estimates of uninsurance based on data from the 2008 OHIS.
CPS Time Series Adjustments
"SHADAC-Enhanced CPS Health Insurance Coverage Estimates" outlines the enhancements applied by SHADAC to develop the harmonized time series of health insurance coverage estimates using the Current Population Survey Annual Social and Economic Supplement (CPS). This was done to account for methodological changes to the CPS. This report complements the tool tips in SHADAC’s new Data Center.
The enhanced CPS variables are available for microdata download. See SHADAC's brief, "Using SHADAC-Enhanced Current Population Survey Health Insurance Coverage Microdata Variables," for more information.
See also SHADAC's issue brief #19, "Historical Changes in Current Population Survey Health Insurance Coverage Items."