IDEAS home Printed from https://ideas.repec.org/p/net/wpaper/1207.html
   My bibliography  Save this paper

Internet's Dirty Secret: Assessing the Impact of Online Intermediaries on the Outbreak of Sexually Transmitted Diseases

Author

Listed:
  • Jason Chan

    () (Department of Information, Operations, and Management Sciences (IOMS), NYU Stern Business School)

  • Anindya Ghose

    () (Department of Information, Operations, and Management Sciences (IOMS), NYU Stern Business School)

Abstract

We investigate how the expansion of Craigslist into different states over a 11 year period in the United States affected the incidence of HIV. Using a natural experiment setup, we identify the effects of Craigslist's entry on HIV trends by exploiting the variations across states and time. After controlling for extraneous factors, our results show that Craigslist's entry leads to a 19.8 percent increase in HIV cases, which maps out to an average of 158.7 cases for a state in a year. The analyses further suggest that non-market related casual sex serves as the underlying mechanism driving the increase in HIV cases, while paid transactions (e.g., escort services and prostitution) solicited on the site do not influence HIV trends. The increases in HIV cases as a result of Craigslist entry are estimated to impose treatment costs of over $118 million annually on the U.S. healthcare system. Study implications and limitations are discussed.

Suggested Citation

  • Jason Chan & Anindya Ghose, 2012. "Internet's Dirty Secret: Assessing the Impact of Online Intermediaries on the Outbreak of Sexually Transmitted Diseases," Working Papers 12-07, NET Institute, revised Sep 2012.
  • Handle: RePEc:net:wpaper:1207
    as

    Download full text from publisher

    File URL: http://www.NETinst.org/Chan_12-07.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Susan Athey & Scott Stern, 2002. "The Impact of Information Technology on Emergency Health Care Outcomes," RAND Journal of Economics, The RAND Corporation, vol. 33(3), pages 399-432, Autumn.
    2. Amalia R. Miller & Catherine E. Tucker, 2011. "Can Health Care Information Technology Save Babies?," Journal of Political Economy, University of Chicago Press, vol. 119(2), pages 289-324.
    3. Trevon D. Logan & Manisha Shah, 2013. "Face Value: Information and Signaling in an Illegal Market," Southern Economic Journal, Southern Economic Association, vol. 79(3), pages 529-564, January.
    4. Chris Forman & Anindya Ghose & Avi Goldfarb, 2009. "Competition Between Local and Electronic Markets: How the Benefit of Buying Online Depends on Where You Live," Management Science, INFORMS, vol. 55(1), pages 47-57, January.
    5. Lena Edlund & Evelyn Korn, 2002. "A Theory of Prostitution," Journal of Political Economy, University of Chicago Press, vol. 110(1), pages 181-214, February.
    6. Ginger Zhe Jin & Phillip Leslie, 2003. "The Effect of Information on Product Quality: Evidence from Restaurant Hygiene Grade Cards," The Quarterly Journal of Economics, Oxford University Press, vol. 118(2), pages 409-451.
    7. Lancaster, Tony, 2000. "The incidental parameter problem since 1948," Journal of Econometrics, Elsevier, vol. 95(2), pages 391-413, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:spr:scient:v:113:y:2017:i:3:d:10.1007_s11192-017-2524-6 is not listed on IDEAS
    2. Pénard, Thierry & Poussing, Nicolas & Suire, Raphaël, 2013. "Does the Internet make people happier?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 46(C), pages 105-116.

    More about this item

    Keywords

    HIV; Entry; Online Platforms; Public Health;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:net:wpaper:1207. 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: (Nicholas Economides). General contact details of provider: http://www.NETinst.org/ .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.