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CTSHS respondents were asked the following question: "During the past 12 months, was there anytime that you didn't get the medical care you needed?" We used the answer to this question as our "unmet medical needs" dichotomous-dependent variable.
All the contextual-level variables were calculated using the person-level sampling weights available in the CTSHS to make site-specific estimates (CSHSC 2003).
About 17 percent of working age adults in our CTSHS sample were uninsured and 8.7 percent of the total sample reported that they had unmet medical needs.
The CTSHS allows a linkage of the survey response of a worker with the survey response of the spouse.
Other variables in the model available from the CTSHS include personal and family characteristics such as gender, age, education, family income as a percent of poverty level, race, presence of kids, self-rated health, and smoking status; job characteristics such as whether a person works part-time and his/her firm size; and the year of the survey.
The CTSHS respondents were asked to define their plan as being an HMO or not.
Likewise, Polsky and Nicholson (2004) found no evidence of risk selection using the first wave of the CTSHS. They decompose differences in expenditures between HMO and non-HMO enrollees into a utilization, reimbursement, and risk selection effect, where the latter effect is measured as a residual.
The sample is restricted to people who were offered health insurance by their employer over a two-year period, had a choice of an HMO and a non-HMO plan in the second year, and responded to the CTSHS survey in both years.
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- CTSS Command Language Controller