Advanced Search
MyIDEAS: Login

The Impact of Insurance and HIV Treatment Technology on HIV Testing

Contents:

Author Info

  • Neeraj Sood
  • Yanyu Wu

Abstract

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.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.nber.org/papers/w19397.pdf
Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 19397.

as in new window
Length:
Date of creation: Sep 2013
Date of revision:
Handle: RePEc:nbr:nberwo:19397

Note: HC HE
Contact details of provider:
Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Phone: 617-868-3900
Email:
Web page: http://www.nber.org
More information through EDIRC

Related research

Keywords:

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. David Card & Carlos Dobkin & Nicole Maestas, 2007. "Does Medicare Save Lives?," NBER Working Papers 13668, National Bureau of Economic Research, Inc.
  2. Michael A. Boozer & Tomas J. Philipson, 2000. "The Impact of Public Testing for Human Immunodeficiency Virus," Journal of Human Resources, University of Wisconsin Press, vol. 35(3), pages 419-446.
  3. Dana Goldman & Darius Lakdawalla & Neeraj Sood, 2004. "HIV Breakthroughs and Risk Sexual Behavior," NBER Working Papers 10516, National Bureau of Economic Research, Inc.
  4. Philipson, Tomas J & Posner, Richard A, 1995. "A Theoretical and Empirical Investigation of the Effects of Public Health Subsidies for STD Testing," The Quarterly Journal of Economics, MIT Press, vol. 110(2), pages 445-74, May.
  5. Ham, John C. & Ozbeklik, Serkan & Shore-Sheppard, Lara, 2011. "Estimating Heterogeneous Take-up and Crowd-Out Responses to Marginal and Non-Marginal Medicaid Expansions," IZA Discussion Papers 5779, Institute for the Study of Labor (IZA).
  6. Shore-Sheppard, Lara & Buchmueller, Thomas C. & Jensen, Gail A., 2000. "Medicaid and crowding out of private insurance: a re-examination using firm level data," Journal of Health Economics, Elsevier, vol. 19(1), pages 61-91, January.
  7. Chiara Monfardini & Rosalba Radice, 2008. "Testing Exogeneity in the Bivariate Probit Model: A Monte Carlo Study," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(2), pages 271-282, 04.
  8. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
  9. Wilde, Joachim, 2000. "Identification of multiple equation probit models with endogenous dummy regressors," Economics Letters, Elsevier, vol. 69(3), pages 309-312, December.
  10. Jay Bhattacharya & Dana Goldman & Neeraj Sood, 2002. "The Link Between Public and Private Insurance and HIV-Related Mortality," NBER Working Papers 9346, National Bureau of Economic Research, Inc.
  11. Jay Bhattacharya & Kate Bundorf & Noemi Pace & Neeraj Sood, 2009. "Does Health Insurance Make You Fat?," NBER Working Papers 15163, National Bureau of Economic Research, Inc.
  12. Hausman, Jerry A, 1978. "Specification Tests in Econometrics," Econometrica, Econometric Society, vol. 46(6), pages 1251-71, November.
  13. Gruber, Jonathan & Simon, Kosali, 2008. "Crowd-out 10 years later: Have recent public insurance expansions crowded out private health insurance?," Journal of Health Economics, Elsevier, vol. 27(2), pages 201-217, March.
  14. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-59, July.
  15. Rebecca L. Thornton, 2008. "The Demand for, and Impact of, Learning HIV Status," American Economic Review, American Economic Association, vol. 98(5), pages 1829-63, December.
Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:19397. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.