Nothing Special   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/23982.html
   My bibliography  Save this paper

Parental Monitoring and Children's Internet Use: The Role of Information, Control, and Cues

Author

Listed:
  • Francisco Gallego
  • Ofer Malamud
  • Cristian Pop-Eleches
Abstract
This paper explores how parental information and control can influence children’s internet use in Chile. We designed and implemented a set of randomized interventions whereby approximately 7700 parents were sent weekly SMSs messages with (i) specific information about their children’s internet use, and/or (ii) encouragement and assistance with the installation of parental control software. We separate the informational content from the cue associated with SMS messages and vary the strength of the cues by randomly assigning whether parents received messages in a predictable or unpredictable fashion. Our analysis yields three main findings. First, we find that messages providing parents with specific information affects parental behavior and reduces children’s internet use by 6-10 percent. Second, we do not find significant impacts from helping parents directly control their children’s internet access with parental control software. Third, the strength of the cue associated with receiving a message has a significant impact on internet use.

Suggested Citation

  • Francisco Gallego & Ofer Malamud & Cristian Pop-Eleches, 2017. "Parental Monitoring and Children's Internet Use: The Role of Information, Control, and Cues," NBER Working Papers 23982, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:23982
    Note: CH DEV ED
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w23982.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Becker, Gary S, 1974. "A Theory of Social Interactions," Journal of Political Economy, University of Chicago Press, vol. 82(6), pages 1063-1093, Nov.-Dec..
    2. Robert W. Fairlie & Jonathan Robinson, 2013. "Experimental Evidence on the Effects of Home Computers on Academic Achievement among Schoolchildren," American Economic Journal: Applied Economics, American Economic Association, vol. 5(3), pages 211-240, July.
    3. Kraft, Matthew A. & Rogers, Todd, 2015. "The underutilized potential of teacher-to-parent communication: Evidence from a field experiment," Economics of Education Review, Elsevier, vol. 47(C), pages 49-63.
    4. Karthik Muralidharan & Mauricio Romero & Kaspar Wüthrich, 2019. "Factorial Designs, Model Selection, and (Incorrect) Inference in Randomized Experiments," NBER Working Papers 26562, National Bureau of Economic Research, Inc.
    5. Ofer Malamud & Cristian Pop-Eleches, 2011. "Home Computer Use and the Development of Human Capital," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(2), pages 987-1027.
    6. Leonardo Bursztyn & Lucas C. Coffman, 2012. "The Schooling Decision: Family Preferences, Intergenerational Conflict, and Moral Hazard in the Brazilian Favelas," Journal of Political Economy, University of Chicago Press, vol. 120(3), pages 359-397.
    7. Rebecca Dizon-Ross, 2019. "Parents' Beliefs about Their Children's Academic Ability: Implications for Educational Investments," American Economic Review, American Economic Association, vol. 109(8), pages 2728-2765, August.
    8. Malamud, Ofer & Cueto, Santiago & Cristia, Julian & Beuermann, Diether W., 2019. "Do children benefit from internet access? Experimental evidence from Peru," Journal of Development Economics, Elsevier, vol. 138(C), pages 41-56.
    9. Gary S. Becker, 1981. "A Treatise on the Family," NBER Books, National Bureau of Economic Research, Inc, number beck81-1.
    10. Victor Chernozhukov & Mert Demirer & Esther Duflo & Iván Fernández-Val, 2018. "Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, with an Application to Immunization in India," NBER Working Papers 24678, National Bureau of Economic Research, Inc.
    11. 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.
    12. Diether W. Beuermann & Julian Cristia & Santiago Cueto & Ofer Malamud & Yyannu Cruz-Aguayo, 2015. "One Laptop per Child at Home: Short-Term Impacts from a Randomized Experiment in Peru," American Economic Journal: Applied Economics, American Economic Association, vol. 7(2), pages 53-80, April.
    13. Dean Karlan & Margaret McConnell & Sendhil Mullainathan & Jonathan Zinman, 2016. "Getting to the Top of Mind: How Reminders Increase Saving," Management Science, INFORMS, vol. 62(12), pages 3393-3411, December.
    14. Keith Marzilli Ericson, 2017. "On the Interaction of Memory and Procrastination: Implications for Reminders, Deadlines, and Empirical Estimation," Journal of the European Economic Association, European Economic Association, vol. 15(3), pages 692-719.
    15. Hunt Allcott & Todd Rogers, 2014. "The Short-Run and Long-Run Effects of Behavioral Interventions: Experimental Evidence from Energy Conservation," American Economic Review, American Economic Association, vol. 104(10), pages 3003-3037, October.
    16. James Berry, 2015. "Child Control in Education Decisions: An Evaluation of Targeted Incentives to Learn in India," Journal of Human Resources, University of Wisconsin Press, vol. 50(4), pages 1051-1080.
    17. Robert Jensen, 2010. "The (Perceived) Returns to Education and the Demand for Schooling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(2), pages 515-548.
    18. Bruce A. Weinberg, 2001. "An Incentive Model of the Effect of Parental Income on Children," Journal of Political Economy, University of Chicago Press, vol. 109(2), pages 266-280, April.
    19. Bergstrom, Theodore C, 1989. "A Fresh Look at the Rotten Kid Theorem--and Other Household Mysteries," Journal of Political Economy, University of Chicago Press, vol. 97(5), pages 1138-1159, October.
    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. Chen, Yefeng & Yang, Wenyuan & Luo, Gansong & Luo, Jun, 2024. "Choosing tournament for children: Parenting style and information intervention," China Economic Review, Elsevier, vol. 85(C).
    2. M. Niaz Asadullah & Anindita Bhattacharjee, 2022. "Digital Divide or Digital Provide? Technology, Time Use, and Learning Loss during COVID-19," Journal of Development Studies, Taylor & Francis Journals, vol. 58(10), pages 1934-1957, October.
    3. Rosa Sanchis-Guarner & José Montalbán & Felix Weinhardt, 2021. "Home Broadband and Human Capital Formation," Working Papers 923, Queen Mary University of London, School of Economics and Finance.
    4. Derksen, Laura & Michaud-Leclerc, Catherine & Souza, Pedro C.L., 2022. "Restricted access: How the internet can be used to promote reading and learning," Journal of Development Economics, Elsevier, vol. 155(C).
    5. Ofer Malamud, 2019. "The Effect of Home Computers and the Internet on Children’s Human Capital Development," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 17(02), pages 34-40, August.
    6. Emily Beam & Priya Mukherjee & Laia Navarro-Sola, 2022. "Lowering Barriers to Remote Education: Experimental Impacts on Parental Responses and Learning," Working Papers 2022-030, Human Capital and Economic Opportunity Working Group.
    7. Noam Angrist & Peter Bergman & Moitshepi Matsheng, 2022. "Experimental evidence on learning using low-tech when school is out," Nature Human Behaviour, Nature, vol. 6(7), pages 941-950, July.
    8. Huang, Wei & Li, Teng & Pan, Yinghao & Ren, Jinyang, 2023. "Teacher characteristics and student performance: Evidence from random teacher-student assignments in China," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 747-781.
    9. Damien de Walque & Christine Valente, 2023. "Incentivizing School Attendance in the Presence of Parent-Child Information Frictions," American Economic Journal: Economic Policy, American Economic Association, vol. 15(3), pages 256-285, August.
    10. Frank Kyei-Arthur & Sylvester Kyei-Gyamfi & Solomon Sarpong, 2024. "Internet usage, access, and supervision among Ghanaian children: a cross-sectional study," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.
    11. Prieto-Latorre, Claudia & Lopez-Agudo, Luis Alejandro & Luque, Mariano & Marcenaro-Gutierrez, Oscar David, 2022. "The ideal use of the internet and academic success: Finding a balance between competences and knowledge using interval multiobjective programming," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    12. Noam Angrist & Peter Bergman & Moitshepi Matsheng, 2020. "School’s Out: Experimental Evidence on Limiting Learning Loss Using “Low-Tech” in a Pandemic," NBER Working Papers 28205, National Bureau of Economic Research, Inc.
    13. Díaz, Carlos & Dodel, Matías & Menese, Pablo, 2022. "Can one laptop per child reduce digital inequalities? ICT household access patterns under Plan Ceibal," Telecommunications Policy, Elsevier, vol. 46(9).
    14. Loreto Cox & Sylvia Eyzaguirre & Francisco Gallego & Maximiliano García, 2020. "Punishing Mayors Who Fail the Test: How do Voters Respond to Information on Educational Outcomes?," Documentos de Trabajo 555, Instituto de Economia. Pontificia Universidad Católica de Chile..

    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. Peter Bergman, 2020. "Nudging Technology Use: Descriptive and Experimental Evidence from School Information Systems," Education Finance and Policy, MIT Press, vol. 15(4), pages 623-647, Fall.
    2. Peter Leopold S. Bergman, 2016. "Technology Adoption in Education: Usage, Spillovers and Student Achievement," CESifo Working Paper Series 6101, CESifo.
    3. Ofer Malamud, 2019. "The Effect of Home Computers and the Internet on Children’s Human Capital Development," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 17(02), pages 34-40, August.
    4. Damien de Walque & Christine Valente, 2023. "Incentivizing School Attendance in the Presence of Parent-Child Information Frictions," American Economic Journal: Economic Policy, American Economic Association, vol. 15(3), pages 256-285, August.
    5. Vladana Djinovic & Nicholas Giannakopoulos, 2024. "Home computer ownership and educational outcomes of adolescents in Greece," Education Economics, Taylor & Francis Journals, vol. 32(4), pages 523-537, July.
    6. Luca Bonacini & Marina Murat, 2023. "Beyond the Covid-19 pandemic: remote learning and education inequalities," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 207-236, February.
    7. Rosa Sanchis-Guarner & José Montalbán & Felix Weinhardt, 2021. "Home Broadband and Human Capital Formation," CESifo Working Paper Series 8846, CESifo.
    8. Derksen, Laura & Leclerc, Catherine Michaud & Souza, Pedro CL, 2019. "Searching for Answers : The Impact of Student Access to Wikipedia," The Warwick Economics Research Paper Series (TWERPS) 1236, University of Warwick, Department of Economics.
    9. Derksen, Laura & Leclerc, Catherine Michaud & Souza, Pedro CL, 2019. "Searching for Answers: The Impact of Student Access to Wikipedia," CAGE Online Working Paper Series 450, Competitive Advantage in the Global Economy (CAGE).
    10. Derksen, Laura & Michaud-Leclerc, Catherine & Souza, Pedro C.L., 2022. "Restricted access: How the internet can be used to promote reading and learning," Journal of Development Economics, Elsevier, vol. 155(C).
    11. Bergman, Peter & Rogers, Todd, 2017. "The Impact of Defaults on Technology Adoption, and Its Underappreciation by Pollicymakers," Working Paper Series rwp17-021, Harvard University, John F. Kennedy School of Government.
    12. Malamud, Ofer & Cueto, Santiago & Cristia, Julian & Beuermann, Diether W., 2019. "Do children benefit from internet access? Experimental evidence from Peru," Journal of Development Economics, Elsevier, vol. 138(C), pages 41-56.
    13. Eric Bettinger & Robert Fairlie & Anastasia Kapuza & Elena Kardanova & Prashant Loyalka & Andrey Zakharov, 2023. "Diminishing Marginal Returns to Computer‐Assisted Learning," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(2), pages 552-570, March.
    14. Pamela Giustinelli, 2016. "Group Decision Making With Uncertain Outcomes: Unpacking Child–Parent Choice Of The High School Track," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(2), pages 573-602, May.
    15. Julian Cristia & Pablo Ibarrarán & Santiago Cueto & Ana Santiago & Eugenio Severín, 2017. "Technology and Child Development: Evidence from the One Laptop per Child Program," American Economic Journal: Applied Economics, American Economic Association, vol. 9(3), pages 295-320, July.
    16. Yanguas, Maria Lucia, 2020. "Technology and educational choices: Evidence from a one-laptop-per-child program," Economics of Education Review, Elsevier, vol. 76(C).
    17. Díaz, Carlos & Dodel, Matías & Menese, Pablo, 2022. "Can one laptop per child reduce digital inequalities? ICT household access patterns under Plan Ceibal," Telecommunications Policy, Elsevier, vol. 46(9).
    18. Karthik Muralidharan & Abhijeet Singh & Alejandro J. Ganimian, 2019. "Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India," American Economic Review, American Economic Association, vol. 109(4), pages 1426-1460, April.
    19. Katy Bergstrom & Berk Özler, 2023. "Improving the Well-Being of Adolescent Girls in Developing Countries," The World Bank Research Observer, World Bank, vol. 38(2), pages 179-212.
    20. Yue Ma & Robert W. Fairlie & Prashant Loyalka & Scott Rozelle, 2020. "Isolating the “Tech” from EdTech: Experimental Evidence on Computer Assisted Learning in China," NBER Working Papers 26953, National Bureau of Economic Research, Inc.

    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

    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:23982. 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.