The document describes research analyzing bias in estimates of uninsured rates in the Current Population Survey (CPS) due to incomplete health insurance data from households. It finds the CPS method of imputing full health insurance coverage for households without complete data introduces around a 1% upward bias in uninsured rates. The researchers created alternative CPS weights that remove households without complete data to eliminate this bias, finding lower uninsured rates more consistent with other data sources.