IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/31919.html
   My bibliography  Save this paper

Browsers Don’t Lie? Gender Differences in the Effects of the Indian COVID-19 Lockdown on Digital Activity and Time Use

Author

Listed:
  • Amalia R. Miller
  • Kamalini Ramdas
  • Alp Sungu

Abstract

We measure the impact of the initial Indian national COVID-19 lockdown on digital activity using browser histories of 1,094 individuals, spanning over 31.5 million website visits on computers and mobile devices. Reflecting the predicted increase in the value of online activity, both men and women in our sample dramatically increased their internet browsing during the lockdown. However, men’s browsing increased by significantly more, causing gender gaps overall and in key browsing categories, and in browsing on mobile devices. Our browser data showed significant relative reductions in women’s online job search, corroborated in aggregate data obtained from a major Indian online job platform, indicating potentially persistent harms to women’s employment. Consistent with increased childcare obligations driving the observed gender gaps, we find that gaps were greatest among parents. Men and women in our sample had similar browsing levels and trends pre-pandemic, which diverged during the lockdown. Our primary findings therefore shed new light on determinants of digital time use, while also highlighting the importance of considering both extensive and intensive margins of digital activity to track the digital divide. In our secondary analysis of time devoted to childcare, we find conflicting survey responses between fathers (who report an increase relative to mothers) and mothers (who report no such increase). While our data cannot directly resolve this conflict, they do show fathers having larger increases in time spent online, with no relative increase in childcare-related browsing. This secondary result demonstrates the value of complementing survey data with digital trace data.

Suggested Citation

  • Amalia R. Miller & Kamalini Ramdas & Alp Sungu, 2023. "Browsers Don’t Lie? Gender Differences in the Effects of the Indian COVID-19 Lockdown on Digital Activity and Time Use," NBER Working Papers 31919, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:31919
    Note: CH DEV LE LS PR
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w31919.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 search for a different version of it.

    References listed on IDEAS

    as
    1. Esther Duflo, 2012. "Women Empowerment and Economic Development," Journal of Economic Literature, American Economic Association, vol. 50(4), pages 1051-1079, December.
    2. Dmitry Arkhangelsky & Susan Athey & David A. Hirshberg & Guido W. Imbens & Stefan Wager, 2021. "Synthetic Difference-in-Differences," American Economic Review, American Economic Association, vol. 111(12), pages 4088-4118, December.
    3. Francine D. Blau & Lawrence M. Kahn, 2017. "The Gender Wage Gap: Extent, Trends, and Explanations," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 789-865, September.
    4. Nishtha Langer & Ram D. Gopal & Ravi Bapna, 2020. "Onward and Upward? An Empirical Investigation of Gender and Promotions in Information Technology Services," Information Systems Research, INFORMS, vol. 31(2), pages 383-398, June.
    5. Garrett A. Johnson, 2022. "Economic Research on Privacy Regulation: Lessons from the GDPR and Beyond," NBER Chapters, in: The Economics of Privacy, National Bureau of Economic Research, Inc.
    6. Brodeur, Abel & Clark, Andrew E. & Fleche, Sarah & Powdthavee, Nattavudh, 2021. "COVID-19, lockdowns and well-being: Evidence from Google Trends," Journal of Public Economics, Elsevier, vol. 193(C).
    7. Lesley Chiou & Catherine Tucker, 2020. "Social Distancing, Internet Access and Inequality," NBER Working Papers 26982, National Bureau of Economic Research, Inc.
    8. Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2020. "Inequality in the impact of the coronavirus shock: Evidence from real time surveys," Journal of Public Economics, Elsevier, vol. 189(C).
    9. Anja Lambrecht & Catherine Tucker, 2019. "Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads," Management Science, INFORMS, vol. 65(7), pages 2966-2981, July.
    10. Ruomeng Cui & Jun Li & Dennis J. Zhang, 2020. "Reducing Discrimination with Reviews in the Sharing Economy: Evidence from Field Experiments on Airbnb," Management Science, INFORMS, vol. 66(3), pages 1071-1094, March.
    11. Oriana Bandiera & Andrea Prat & Stephen Hansen & Raffaella Sadun, 2020. "CEO Behavior and Firm Performance," Journal of Political Economy, University of Chicago Press, vol. 128(4), pages 1325-1369.
    12. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    13. Rajiv Garg & Rahul Telang, 2018. "To Be or Not to Be Linked: Online Social Networks and Job Search by Unemployed Workforce," Management Science, INFORMS, vol. 64(8), pages 3926-3941, August.
    14. Ashwini Deshpande, 2020. "The Covid-19 Pandemic and Lockdown: First Effects on Gender Gaps in Employment and Domestic Work in India," Working Papers 30, Ashoka University, Department of Economics, revised 02 Jun 2020.
    15. Tesary Lin, 2022. "Valuing Intrinsic and Instrumental Preferences for Privacy," Marketing Science, INFORMS, vol. 41(4), pages 663-681, July.
    16. Alessandro Acquisti & Curtis Taylor & Liad Wagman, 2016. "The Economics of Privacy," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 442-492, June.
    17. Anindya Ghose & Sang Pil Han, 2011. "An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet," Management Science, INFORMS, vol. 57(9), pages 1671-1691, September.
    18. Yuyu Chen & David Y. Yang, 2019. "The Impact of Media Censorship: 1984 or Brave New World?," American Economic Review, American Economic Association, vol. 109(6), pages 2294-2332, June.
    19. Bacher-Hicks, Andrew & Goodman, Joshua & Mulhern, Christine, 2021. "Inequality in household adaptation to schooling shocks: Covid-induced online learning engagement in real time," Journal of Public Economics, Elsevier, vol. 193(C).
    20. Nancy Folbre & Jayoung Yoon, 2007. "What is child care? Lessons from time-use surveys of major English-speaking countries," Review of Economics of the Household, Springer, vol. 5(3), pages 223-248, September.
    21. Fred Collopy, 1996. "Biases in Retrospective Self-Reports of Time Use: An Empirical Study of Computer Users," Management Science, INFORMS, vol. 42(5), pages 758-767, May.
    22. Garrett Johnson, 2022. "Economic Research on Privacy Regulation: Lessons from the GDPR and Beyond," NBER Working Papers 30705, National Bureau of Economic Research, Inc.
    23. Ro'ee Levy, 2021. "Social Media, News Consumption, and Polarization: Evidence from a Field Experiment," American Economic Review, American Economic Association, vol. 111(3), pages 831-870, March.
    24. Hilal Atasoy & Rajiv D. Banker & Paul A. Pavlou, 2021. "Information Technology Skills and Labor Market Outcomes for Workers," Information Systems Research, INFORMS, vol. 32(2), pages 437-461, June.
    25. Alvin Chung Man Leung & Radhika Santhanam & Ron Chi-Wai Kwok & Wei Thoo Yue, 2023. "Could Gamification Designs Enhance Online Learning Through Personalization? Lessons from a Field Experiment," Information Systems Research, INFORMS, vol. 34(1), pages 27-49, March.
    26. Alessandro Acquisti & Christina Fong, 2020. "An Experiment in Hiring Discrimination via Online Social Networks," Management Science, INFORMS, vol. 66(3), pages 1005-1024, March.
    27. Daniel S. Hamermesh & Harley Frazis & Jay Stewart, 2005. "Data Watch: The American Time Use Survey," Journal of Economic Perspectives, American Economic Association, vol. 19(1), pages 221-232, Winter.
    28. Jorge Mejia & Chris Parker, 2021. "When Transparency Fails: Bias and Financial Incentives in Ridesharing Platforms," Management Science, INFORMS, vol. 67(1), pages 166-184, January.
    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. Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2021. "Studying Information Acquisition in the Field: A Practical Guide and Review," CEBI working paper series 21-15, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    2. Mert Demirer & Diego Jimenez-Hernandez & Dean Li & Sida Peng, 2024. "Data, Privacy Laws and Firm Production: Evidence from the GDPR," Working Paper Series WP 2024-02, Federal Reserve Bank of Chicago.
    3. Stefanie Stantcheva, 2022. "Inequalities in the times of a pandemic," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 37(109), pages 5-41.
    4. Yinchu Zhu & Ilya O. Ryzhov, 2022. "Optimal data-driven hiring with equity for underrepresented groups," Papers 2206.09300, arXiv.org.
    5. Mladen Adamovic & Andreas Leibbrandt, 2023. "A large‐scale field experiment on occupational gender segregation and hiring discrimination," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 62(1), pages 34-59, January.
    6. Tommaso Bondi & Omid Rafieian, 2023. "Privacy and Polarization: An Inference-Based Approach," Working Papers 23-09, NET Institute.
    7. Takaku, Reo & Yokoyama, Izumi, 2021. "What the COVID-19 school closure left in its wake: Evidence from a regression discontinuity analysis in Japan," Journal of Public Economics, Elsevier, vol. 195(C).
    8. Carlos Díaz & Sebastian Fossati & Nicolás Trajtenberg, 2022. "Stay at home if you can: COVID‐19 stay‐at‐home guidelines and local crime," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 19(4), pages 1067-1113, December.
    9. Nicholas W. Papageorge & Matthew V. Zahn & Michèle Belot & Eline Broek-Altenburg & Syngjoo Choi & Julian C. Jamison & Egon Tripodi, 2021. "Socio-demographic factors associated with self-protecting behavior during the Covid-19 pandemic," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 691-738, April.
    10. Deng, Yue & Zhou, Yuqian & Hu, Dezhuang, 2023. "Grandparental childcare and female labor market behaviors: Evidence from China," Journal of Asian Economics, Elsevier, vol. 86(C).
    11. Faia, Ester & Fuster, Andreas & Pezone, Vincenzo & Zafar, Basit, 2021. "Biases in information selection and processing: Survey evidence from the pandemic," SAFE Working Paper Series 307, Leibniz Institute for Financial Research SAFE.
    12. Da Ke, 2021. "Who Wears the Pants? Gender Identity Norms and Intrahousehold Financial Decision‐Making," Journal of Finance, American Finance Association, vol. 76(3), pages 1389-1425, June.
    13. Stephen Hansen & Tejas Ramdas & Raffaella Sadun & Joe Fuller, 2021. "The Demand for Executive Skills," NBER Working Papers 28959, National Bureau of Economic Research, Inc.
    14. Islam, Asif M. & Amin, Mohammad, 2023. "The gender labor productivity gap across informal firms," World Development, Elsevier, vol. 167(C).
    15. Ana Tribin & Karen García-Rojas & Paula Herrera-Idarraga & Leonardo Fabio Morales & Natalia Ramirez-Bustamante, 2023. "Shecession: The Downfall of Colombian Women During the Covid-19 Pandemic," Feminist Economics, Taylor & Francis Journals, vol. 29(4), pages 158-193, October.
    16. Andrew E. Clark & Conchita D'Ambrosio & Anthony Lepinteur, 2020. "The Fall in Income Inequality during COVID-19 in Five European Countries," Working Papers 565, ECINEQ, Society for the Study of Economic Inequality.
    17. Mathias Huebener & Sevrin Waights & C. Katharina Spiess & Nico A. Siegel & Gert G. Wagner, 2021. "Parental well-being in times of Covid-19 in Germany," Review of Economics of the Household, Springer, vol. 19(1), pages 91-122, March.
    18. Lefouili, Yassine & Toh, Ying Lei & Madio, Leonardo, 2017. "Privacy Regulation and Quality-Enhancing Innovation," TSE Working Papers 17-795, Toulouse School of Economics (TSE), revised Jul 2023.
    19. Nicola Fuchs-Schünde & Dirk Krueger & Alexander Ludwig & Irina Popova, 2022. "The Long-Term Distributional and Welfare Effects of Covid-19 School Closures," The Economic Journal, Royal Economic Society, vol. 132(645), pages 1647-1683.
    20. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.

    More about this item

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • K39 - Law and Economics - - Other Substantive Areas of Law - - - Other
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • 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:nbr:nberwo:31919. 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.