IDEAS home Printed from https://ideas.repec.org/a/ijb/journl/v16y2017i1p101-108.html
   My bibliography  Save this article

Awareness of Sexually Transmitted Disease and Economic Misfortune Using Search Engine Query Data

Author

Listed:
  • Daniel Farhat

    (Department of Economics, Radford University, U.S.A.)

Abstract

This brief study extracts a measure of general interest in sexually transmitted disease for the United States (2004-2012) using Google keyword search data. Trends in this measure are then compared to periods of decline in the US economy.

Suggested Citation

  • Daniel Farhat, 2017. "Awareness of Sexually Transmitted Disease and Economic Misfortune Using Search Engine Query Data," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 16(1), pages 101-108, June.
  • Handle: RePEc:ijb:journl:v:16:y:2017:i:1:p:101-108
    as

    Download full text from publisher

    File URL: https://ijbe.fcu.edu.tw/assets/ijbe/past_issue/No.16-1/pdf/vol_16-1-6.pdf
    Download Restriction: no

    File URL: https://ijbe.fcu.edu.tw/assets/ijbe/past_issue/No.16-1/abstract/06.html
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Askitas, Nikos & Zimmermann, Klaus F., 2011. "Health and Well-Being in the Crisis," IZA Discussion Papers 5601, Institute of Labor Economics (IZA).
    2. Tefft, Nathan, 2011. "Insights on unemployment, unemployment insurance, and mental health," Journal of Health Economics, Elsevier, vol. 30(2), pages 258-264, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nikolaos Askitas & Klaus F. Zimmermann, 2015. "The internet as a data source for advancement in social sciences," International Journal of Manpower, Emerald Group Publishing Limited, vol. 36(1), pages 2-12, April.
    2. Nikolaos Askitas, 2015. "Google search activity data and breaking trends," IZA World of Labor, Institute of Labor Economics (IZA), pages 206-206, November.
    3. Frijters, Paul & Johnston, David W. & Lordan, Grace & Shields, Michael A., 2013. "Exploring the relationship between macroeconomic conditions and problem drinking as captured by Google searches in the US," Social Science & Medicine, Elsevier, vol. 84(C), pages 61-68.
    4. Haobin Fan & Xuanyi Nie, 2020. "Impacts of Layoffs and Government Assistance on Mental Health during COVID-19: An Evidence-Based Study of the United States," Sustainability, MDPI, vol. 12(18), pages 1-23, September.
    5. Wang, Huixia & Wang, Chenggang & Halliday, Timothy J., 2018. "Health and health inequality during the great recession: Evidence from the PSID," Economics & Human Biology, Elsevier, vol. 29(C), pages 17-30.
    6. Lefgren, Lars J. & Stoddard, Olga B. & Stovall, John E., 2021. "Rationalizing self-defeating behaviors: Theory and evidence," Journal of Health Economics, Elsevier, vol. 76(C).
    7. Marco Caliendo & Robert Mahlstedt & Gerard J. van den Berg & Johan Vikström, 2023. "Side effects of labor market policies," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(2), pages 339-375, April.
    8. Baranov, Victoria & Bennett, Daniel & Kohler, Hans-Peter, 2015. "The indirect impact of antiretroviral therapy: Mortality risk, mental health, and HIV-negative labor supply," Journal of Health Economics, Elsevier, vol. 44(C), pages 195-211.
    9. Mooli Lahad & Ran Cohen & Stratos Fanaras & Dmitry Leykin & Penny Apostolopoulou, 2018. "Resiliency and Adjustment in Times of Crisis, the Case of the Greek Economic Crisis from a Psycho-social and Community Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 333-356, January.
    10. Guzi, Martin & de Pedraza, Pablo, 2013. "A Web Survey Analysis of the Subjective Well-being of Spanish Workers," IZA Discussion Papers 7618, Institute of Labor Economics (IZA).
    11. Blanchflower, David G. & Oswald, Andrew J., 2011. "Antidepressants and Age," IZA Discussion Papers 5785, Institute of Labor Economics (IZA).
    12. Askitas, Nikos, 2015. "Calling the Greek Referendum on the Nose with Google Trends," IZA Discussion Papers 9569, Institute of Labor Economics (IZA).
    13. Drydakis, Nick, 2015. "The effect of unemployment on self-reported health and mental health in Greece from 2008 to 2013: A longitudinal study before and during the financial crisis," Social Science & Medicine, Elsevier, vol. 128(C), pages 43-51.
    14. Krishna Regmi, 2019. "Examining The Externality Of Unemployment Insurance On Children'S Educational Achievement," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 172-187, January.
    15. Juan Camilo Anzoátegui-Zapata & Juan Camilo Galvis-Ciro, 2020. "Disagreements in Consumer Inflation Expectations: Empirical Evidence for a Latin American Economy," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 16(2), pages 99-122, November.
    16. Lizhong Peng & Jie Chen & Xiaohui Guo, 2022. "Macroeconomic conditions and health‐related outcomes in the United States: A metropolitan and micropolitan statistical area‐level analysis between 2004 and 2017," Health Economics, John Wiley & Sons, Ltd., vol. 31(1), pages 3-20, January.
    17. Mariya Melnychuk, 2012. "Mental health and economic conditions: how do economic fluctuations influence mental problems?," Working Papers. Serie AD 2012-08, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    18. Haobin Fan & Xuanyi Nie & Sarah Wilson, 2023. "Mental Health, Material Possessions, and Social Capital During COVID-19: A Study of the United States Urban Working-Age Population," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(1), pages 561-599, February.
    19. Coble, David & Pincheira, Pablo, 2017. "Nowcasting Building Permits with Google Trends," MPRA Paper 76514, University Library of Munich, Germany.
    20. Philip ME Garboden, 2019. "Sources and Types of Big Data for Macroeconomic Forecasting," Working Papers 2019-3, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.

    More about this item

    Keywords

    sexually transmitted disease awareness; health and the economy; search engine query data;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • Z1 - Other Special Topics - - Cultural Economics

    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:ijb:journl:v:16:y:2017:i:1:p:101-108. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Szu-Hsien Ho (email available below). General contact details of provider: https://edirc.repec.org/data/cbfcutw.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.