Predicting employee health care decisions in a flexible benefits environment: a preliminary report
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1igh Low 1MO age and tenure age or tenure alternative health insurance build a model Cell choice-specific choosing the high coverage indemnity plan data set decisions about health DEPENDENT CATEGORY effect of salary employee-specific employee's dependents covered employees who selected estimate the probability exempt employees factors Female Low FLEXIBLE BENEFITS ENVIRONMENT gender and marital gender and salary health benefits needs Health Care Choice health care decisions health care option health care selections high coverage indemnity high coverage option high plan human resource management inclusion insurance coverage e.g. LABOR RELATIONS Cornell limited number logistic regression Male Low marital status Married Medium non-exempt employees number of values particular option percent plan also increases predict the health PREDICTING EMPLOYEE HEALTH predictor variables probability of choosing provided by NCR RELATIONS Cornell University salary increase select the high selected self-only coverage set of analyses single employees spouse's employer vary across choice vary across individuals