title: Predictions of county uninsured rates: accuracy and stability.
abstract: Uninsured rates of all counties in an area can be predicted by combining survey data from a subset of area counties and secondary data on economic indicators that are available for all counties. The authors present a set of indicators that are related to the uninsured rate and develop prediction models from surveys taken two years apart in the same counties. The accuracy and stability of the prediction models are assessed. Accuracy levels are highest when contemporaneous rates are predicted, but accuracy deteriorates when rates in a later time period are predicted using models from a prior period.
authors.affiliation: Department of Economics, CBA 358 University of Nebraska-Lincoln 68588, USA.
authors.forename: J R
authors.initials: JR
authors.lastname: Schmidt
authors.forename: J A
authors.initials: JA
authors.lastname: Deichert
mesh_terms: D000328:Adult; D003625:Data Collection / Q000379:methods*; D004651:Employment / Q000706:statistics & numerical data; D005260:Female; D019538:Health Care Surveys; D006801:Humans; D007348:Insurance, Health / Q000191:economics; D008297:Male; D017057:Medically Uninsured / Q000706:statistics & numerical data*; D008875:Middle Aged; D015233:Models, Statistical; D009329:Nebraska; D011897:Random Allocation; D015203:Reproducibility of Results; D012456:Salaries and Fringe Benefits / Q000706:statistics & numerical data