IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/27555.html
   My bibliography  Save this paper

Inequality in Household Adaptation to Schooling Shocks: Covid-Induced Online Learning Engagement in Real Time

Author

Listed:
  • Andrew Bacher-Hicks
  • Joshua Goodman
  • Christine Mulhern

Abstract

We use high frequency internet search data to study in real time how US households sought out online learning resources as schools closed due to the Covid-19 pandemic. By April 2020, nationwide search intensity for both school- and parent-centered online learning resources had roughly doubled relative to pre-Covid levels. Areas of the country with higher income, better internet access and fewer rural schools saw substantially larger increases in search intensity. The pandemic will likely widen achievement gaps along these dimensions given schools’ and parents’ differing engagement with online resources to compensate for lost school-based learning time. Accounting for such differences and promoting more equitable access to online learning could improve the effectiveness of education policy responses to the pandemic. The public availability of internet search data allows our analyses to be updated when schools reopen and to be replicated in other countries.

Suggested Citation

  • Andrew Bacher-Hicks & Joshua Goodman & Christine Mulhern, 2020. "Inequality in Household Adaptation to Schooling Shocks: Covid-Induced Online Learning Engagement in Real Time," NBER Working Papers 27555, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:27555
    Note: CH ED
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w27555.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Stephens-Davidowitz, Seth, 2014. "The cost of racial animus on a black candidate: Evidence using Google search data," Journal of Public Economics, Elsevier, vol. 118(C), pages 26-40.
    2. Jacob L. Vigdor & Helen F. Ladd & Erika Martinez, 2014. "Scaling The Digital Divide: Home Computer Technology And Student Achievement," Economic Inquiry, Western Economic Association International, vol. 52(3), pages 1103-1119, July.
    3. 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.
    4. Aucejo, Esteban M. & French, Jacob & Ugalde Araya, Maria Paola & Zafar, Basit, 2020. "The impact of COVID-19 on student experiences and expectations: Evidence from a survey," Journal of Public Economics, Elsevier, vol. 191(C).
    5. Jishnu Das & Stefan Dercon & James Habyarimana & Pramila Krishnan & Karthik Muralidharan & Venkatesh Sundararaman, 2013. "School Inputs, Household Substitution, and Test Scores," American Economic Journal: Applied Economics, American Economic Association, vol. 5(2), pages 29-57, April.
    6. Cristian Pop-Eleches & Miguel Urquiola, 2013. "Going to a Better School: Effects and Behavioral Responses," American Economic Review, American Economic Association, vol. 103(4), pages 1289-1324, June.
    7. Andrew J. Houtenville & Karen Smith Conway, 2008. "Parental Effort, School Resources, and Student Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 43(2), pages 437-453.
    8. 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.
    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. Junzhao Ma & Dewi Tojib & Yelena Tsarenko, 2022. "Sex Robots: Are We Ready for Them? An Exploration of the Psychological Mechanisms Underlying People’s Receptiveness of Sex Robots," Journal of Business Ethics, Springer, vol. 178(4), pages 1091-1107, July.
    2. Andrew Bacher-Hicks & Joshua Goodman & Jennifer Greif Green & Melissa K. Holt, 2022. "The COVID-19 Pandemic Disrupted Both School Bullying and Cyberbullying," American Economic Review: Insights, American Economic Association, vol. 4(3), pages 353-370, September.
    3. Beam, Emily A. & Mukherjee, Priya & Navarro-Sola, Laia, 2022. "Lowering Barriers to Remote Education: Experimental Impacts on Parental Responses and Learning," IZA Discussion Papers 15596, Institute of Labor Economics (IZA).
    4. Fredriksson, Peter & Öckert, Björn & Oosterbeek, Hessel, 2014. "Inside the Black Box of Class Size: Mechanisms, Behavioral Responses, and Social Background," IZA Discussion Papers 8019, Institute of Labor Economics (IZA).
    5. Yuan, Cheng & Zhang, Lei, 2015. "Public education spending and private substitution in urban China," Journal of Development Economics, Elsevier, vol. 115(C), pages 124-139.
    6. Chang, Simon & Cobb-Clark, Deborah A. & Salamanca, Nicolás, 2022. "Parents’ responses to teacher qualifications," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 419-446.
    7. Miriam Gensowski & Miriam Gensowski & Philip Dale & Anders Hojen & Laura Justice & Dorthe Bleses, 2024. "Public and Parental Investments, and Children’s Skill Formation," RF Berlin - CReAM Discussion Paper Series 2411, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    8. Bando, Rosangela, 2015. "The effect of cash transfers to schools on voluntary contributions," Journal of Economic Behavior & Organization, Elsevier, vol. 111(C), pages 224-236.
    9. Islam, Asad, 2019. "Parent–teacher meetings and student outcomes: Evidence from a developing country," European Economic Review, Elsevier, vol. 111(C), pages 273-304.
    10. Gensowski, Miriam & Landersø, Rasmus & Dale, Philip & Hojen, Anders & Justice, Laura & Bleses, Dorthe, 2024. "Public and Parental Investments, and Children's Skill Formation," IZA Discussion Papers 16956, Institute of Labor Economics (IZA).
    11. Eric Bettinger & Nina Cunha & Guilherme Lichand & Ricardo Madeira, 2020. "Are the effects of informational interventions driven by salience?," ECON - Working Papers 350, Department of Economics - University of Zurich, revised May 2021.
    12. Birgitta Rabe, 2019. "Do school inputs crowd out parents’ investments in their children?," IZA World of Labor, Institute of Labor Economics (IZA), pages 460-460, May.
    13. Ma, Junzhao & Seenivasan, Satheesh & Yan, Bingyu, 2020. "Media influences on consumption trends: Effects of the film Food, Inc. on organic food sales in the U.S," International Journal of Research in Marketing, Elsevier, vol. 37(2), pages 320-335.
    14. Sansone, Dario, 2019. "Pink work: Same-sex marriage, employment and discrimination," Journal of Public Economics, Elsevier, vol. 180(C).
    15. Jetter, Michael & Walker, Jay K., 2022. "News coverage and mass shootings in the US," European Economic Review, Elsevier, vol. 148(C).
    16. 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.
    17. Facundo Albornoz & Samuel Berlinski & Antonio Cabrales, 2016. "Motivation, Resources and the Organization of the School System," IDB Publications (Working Papers) 94958, Inter-American Development Bank.
    18. Perroni, Carlo & Scharf, Kimberley & Talavera, Oleksandr & Vi, Linh, 2022. "Does online salience predict charitable giving? Evidence from SMS text donations," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 134-149.
    19. Joana Elisa Maldonado & Kristof De Witte & Koen Declercq, 2022. "The effects of parental involvement in homework: two randomised controlled trials in financial education," Empirical Economics, Springer, vol. 62(3), pages 1439-1464, March.
    20. Yann Algan & Fabrice Murtin & Elizabeth Beasley & Kazuhito Higa & Claudia Senik, 2019. "Well-being through the lens of the internet," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-23, January.

    More about this item

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

    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:nbr:nberwo:27555. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.