The Impact of Insurance and HIV Treatment Technology on HIV Testing
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.
We thanks seminar participants at the Harris School, University of Chicago for helpful comments. Sood acknowledges funding from R01 grant # HD054877 from NICHD. Sood and Wu have no relevant material or financial relationships that bear on this research. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.