Unpaid hospital bills: evidence from Florida.
Most of what we know about the population generating uncompensated care is inferred from data on the uninsured population. The use of insurance status as an indicator for potential charity patients is justifiable considering the lack of alternative information. This study directly examines uncompensated hospital care using a unique data set generated from a special survey conducted in Florida. A selection model estimated using these data explains who is likely to default on their bill and what amount will be left unpaid. The results provide a clearer picture of the uncompensated hospital care problem.
Campbell
E S
ES
Department of Economics, East Carolina University, Greenville, NC 27858-4353.
D000293:Adolescent; D000328:Adult; D000368:Aged; D002648:Child; D002675:Child, Preschool; D005377:Financial Management, Hospital / Q000706:statistics & numerical data*; D005431:Florida; D006302:Health Services Research; D006801:Humans; D007182:Income / Q000706:statistics & numerical data; D007223:Infant; D007231:Infant, Newborn; D007348:Insurance, Health / Q000706:statistics & numerical data; D008489:Medical Indigency / Q000191:economics / Q000706:statistics & numerical data*; D017057:Medically Uninsured / Q000706:statistics & numerical data*; D008875:Middle Aged; D015233:Models, Statistical; D010350:Patient Credit and Collection / Q000191:economics / Q000706:statistics & numerical data*