IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp9197.html

Family Shocks and Academic Achievement

Author

Listed:
  • Hull, Marie C.

    (University of North Carolina, Greensboro)

Abstract

Disruptions in family life can take many forms, but all have the potential to impact student learning. With school administrative data matched to birth records, I estimate the effect of unexpected changes in the home environment, or family shocks, on achievement. Identification comes from siblings observed in the same year. I find that family shocks are at least as important as teacher assignment for student learning. Furthermore, they have a relatively larger impact on students from affluent families; time use evidence indicates that this is likely because affluent parents are more involved in their children's learning.

Suggested Citation

  • Hull, Marie C., 2015. "Family Shocks and Academic Achievement," IZA Discussion Papers 9197, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp9197
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp9197.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Björklund, Anders & Salvanes, Kjell G., 2011. "Education and Family Background: Mechanisms and Policies," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 3, pages 201-247, Elsevier.
    2. Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), 2011. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 4, number 4, June.
    3. Gordon B. Dahl & Lance Lochner, 2012. "The Impact of Family Income on Child Achievement: Evidence from the Earned Income Tax Credit," American Economic Review, American Economic Association, vol. 102(5), pages 1927-1956, August.
    4. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates," American Economic Review, American Economic Association, vol. 104(9), pages 2593-2632, September.
    5. Flavio Cunha & James J. Heckman & Susanne M. Schennach, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," Econometrica, Econometric Society, vol. 78(3), pages 883-931, May.
    6. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2006. "Teacher-Student Matching and the Assessment of Teacher Effectiveness," Journal of Human Resources, University of Wisconsin Press, vol. 41(4).
    7. Daniel Aaronson & Lisa Barrow & William Sander, 2007. "Teachers and Student Achievement in the Chicago Public High Schools," Journal of Labor Economics, University of Chicago Press, vol. 25(1), pages 95-135.
    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. Chris Ryan & Anna Zhu, 2015. "Sibling Health, Schooling and Longer-Term Developmental Outcomes," Melbourne Institute Working Paper Series wp2015n21, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

    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. Marie C. Hull, 2017. "The time-varying role of the family in student time use and achievement," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-20, December.
    2. Thijssen, Maximiliaan W.P. & Rege, Mari & Solheim, Oddny J., 2022. "Teacher relationship skills and student learning," Economics of Education Review, Elsevier, vol. 89(C).
    3. Huebener, Mathias & Kuehnle, Daniel & Spiess, C. Katharina, 2019. "Parental leave policies and socio-economic gaps in child development: Evidence from a substantial benefit reform using administrative data," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 61.
    4. Hanushek, Eric A. & Jacobs, Babs & Schwerdt, Guido & Van der Velden, Rolf & Vermeulen, Stan & Wiederhold, Simon, 2021. "The Intergenerational Transmission of Cognitive Skills: An Investigation of the Causal Impact of Families on Student Outcomes," IZA Discussion Papers 14854, Institute of Labor Economics (IZA).
    5. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    6. Eric A. Hanushek & Babs Jacobs & Guido Schwerdt & Rolf van der Velden & Stan Vermeulen & Simon Wiederhold, 2021. "Where Do STEM Graduates Stem From? The Intergenerational Transmission of Comparative Skill Advantages," CESifo Working Paper Series 9388, CESifo.
    7. Goel, Deepti & Barooah, Bidisha, 2018. "Drivers of Student Performance: Evidence from Higher Secondary Public Schools in Delhi," GLO Discussion Paper Series 231, Global Labor Organization (GLO).
    8. Hanushek, Eric A. & Rivkin, Steven G. & Schiman, Jeffrey C., 2016. "Dynamic effects of teacher turnover on the quality of instruction," Economics of Education Review, Elsevier, vol. 55(C), pages 132-148.
    9. Dan Goldhaber & Cyrus Grout & Nick Huntington-Klein, 2017. "Screen Twice, Cut Once: Assessing the Predictive Validity of Applicant Selection Tools," Education Finance and Policy, MIT Press, vol. 12(2), pages 197-223, Spring.
    10. Lisa Grazzini, 2016. "The Importance of the Quality of Education: Some Determinants and its Effects on Earning Returns and Economic Growth," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2016(2), pages 43-82.
    11. Mathias Huebener & Daniel Kuehnle & C. Katharina Spiess, 2017. "Paid Parental Leave and Child Development: Evidence from the 2007 German Parental Benefit Reform and Administrative Data," Discussion Papers of DIW Berlin 1651, DIW Berlin, German Institute for Economic Research.
    12. Kasper Brandt, 2018. "Private beats public: A flexible value-added model with Tanzanian school switchers," WIDER Working Paper Series 81, World Institute for Development Economic Research (UNU-WIDER).
    13. Anders Hjorth-Trolle, 2018. "Beliefs, parental investments, and intergenerational persistence: A formal model," Rationality and Society, , vol. 30(1), pages 108-154, February.
    14. Pope, Nolan G., 2019. "The effect of teacher ratings on teacher performance," Journal of Public Economics, Elsevier, vol. 172(C), pages 84-110.
    15. James J. Heckman & Stefano Mosso, 2014. "The Economics of Human Development and Social Mobility," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 689-733, August.
    16. Canales, Andrea & Maldonado, Luis, 2018. "Teacher quality and student achievement in Chile: Linking teachers' contribution and observable characteristics," International Journal of Educational Development, Elsevier, vol. 60(C), pages 33-50.
    17. Cook, Jason B. & Mansfield, Richard K., 2016. "Task-specific experience and task-specific talent: Decomposing the productivity of high school teachers," Journal of Public Economics, Elsevier, vol. 140(C), pages 51-72.
    18. Engzell, Per, 2017. "What Do Books in the Home Proxy For? A Cautionary Tale," Working Paper Series 1/2016, Stockholm University, Swedish Institute for Social Research.
    19. Samuel Berlinski & Maria Marta Ferreyra & Luca Flabbi & Juan David Martin, 2024. "Childcare Markets, Parental Labor Supply, and Child Development," Journal of Political Economy, University of Chicago Press, vol. 132(6), pages 2113-2177.
    20. Jens Dietrichson & Ida Lykke Kristiansen & Bjørn A. Viinholt, 2020. "Universal Preschool Programs And Long‐Term Child Outcomes: A Systematic Review," Journal of Economic Surveys, Wiley Blackwell, vol. 34(5), pages 1007-1043, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • 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:iza:izadps:dp9197. 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: Mark Fallak (email available below). General contact details of provider: https://edirc.repec.org/data/izaaalu.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.