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Tweet Sixteen and Pregnant: Missing Links in the Causal Chain from Reality TV to Fertility

Author

Listed:
  • David A. Jaeger
  • Theodore J. Joyce
  • Robert Kaestner

Abstract

We examine the relationship between social media activity, such as Google searches and tweets, related to teen pregnancy and the airing of the MTV program 16 and Pregnant. In contrast to Kearney and Levine's (2015) claim of a positive relationship, we find that the association is statistically insignificant or negative, when the analysis includes periods when new episodes of the program were not being broadcast. The results are also sensitive to using the total number of tweets, which were growing exponentially, as weights. Our results cast substantial doubt on social media as a link in the causal chain between reality television and fertility.

Suggested Citation

  • David A. Jaeger & Theodore J. Joyce & Robert Kaestner, 2019. "Tweet Sixteen and Pregnant: Missing Links in the Causal Chain from Reality TV to Fertility," NBER Working Papers 25446, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:25446
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    References listed on IDEAS

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    1. David A. Jaeger & Theodore J. Joyce & Robert Kaestner, 2020. "A Cautionary Tale of Evaluating Identifying Assumptions: Did Reality TV Really Cause a Decline in Teenage Childbearing?," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 317-326, April.
    2. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    3. Gary Solon & Steven J. Haider & Jeffrey M. Wooldridge, 2015. "What Are We Weighting For?," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 301-316.
    4. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    5. Melissa S. Kearney & Phillip B. Levine, 2015. "Media Influences on Social Outcomes: The Impact of MTV's 16 and Pregnant on Teen Childbearing," American Economic Review, American Economic Association, vol. 105(12), pages 3597-3632, December.
    6. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
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    Cited by:

    1. Nie, Peng & Peng, Xu & Luo, Tianyuan, 2023. "Internet use and fertility behavior among reproductive-age women in China," China Economic Review, Elsevier, vol. 77(C).

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    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

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