The Impact of Insurance and HIV Treatment Technology on HIV Testing

Neeraj Sood, Yanyu Wu

NBER Working Paper No. 19397
Issued in September 2013
NBER Program(s):   HC   HE

This paper investigates the effects of health insurance and new antiviral treatments on HIV testing rates among the U.S. general population using nationally representative data from the Behavioral Risk Factor Surveillance Survey (BRFSS) for the years 1993 to 2002. We estimate recursive bivariate probit models with insurance coverage and HIV testing as the dependent variables. We use changes in Medicaid eligibility and distribution of firm size over time within a state as instruments for insurance coverage. The results suggest that (a) insurance coverage increases HIV testing rates, (b) insurance coverage increases HIV testing rates more among the high risk population, and (c) the advent of Highly Active Antiretroviral Therapy (HAART) increases the effects of insurance coverage on HIV testing for high risk populations.

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