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Why do educated mothers matter? A model of parental help

Author

Listed:
  • Luciano Canova

    () (Enrico Matei School)

  • Alessandro Vaglio

    () (University of Bergamo)

Abstract

The paper investigates the role of mothers in affecting childrens' performance at school. It develops a theoretical model in which household is treated as an individual, whose utility depends on the performance at school of the student and on consumption. The model focuses on the possibilities through which mother’s help may affect pupil's performance in terms of time devoted to supervision and spillover effects. Empirical evidence, using Italian PISA 2006, shows that highly educated mothers have a positive impact on students' score only when they are highly qualified in the job market.

Suggested Citation

  • Luciano Canova & Alessandro Vaglio, 2010. "Why do educated mothers matter? A model of parental help," Working Papers XREAP2010-17, Xarxa de Referència en Economia Aplicada (XREAP), revised Dec 2010.
    • Handle: RePEc:xrp:wpaper:xreap2010-17
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    References listed on IDEAS

    as
    1. Thomas Fuchs & Ludger Wößmann, 2007. "What accounts for international differences in student performance? A re-examination using PISA data," Empirical Economics, Springer, vol. 32(2), pages 433-464, May.
    2. Pronzato, Chiara, 2008. "Why educated mothers don't make educated children? A statistical study in the intergenerational transmission of schooling," ISER Working Paper Series 2008-11, Institute for Social and Economic Research.
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    Cited by:

    1. Esther Vayá & José Ramón García & Joaquim Murillo & Javier Romaní & Jordi Suriñach, 2016. "“Economic Impact of Cruise Activity: The Port of Barcelona”," AQR Working Papers 201609, University of Barcelona, Regional Quantitative Analysis Group, revised Nov 2016.
    2. P. A. Nazarov & Kazakova, Maria, 2014. "Development of Prediction Model of Basic Budget Parameters in Russian Federation," Published Papers r90220, Russian Presidential Academy of National Economy and Public Administration.
    3. Mercedes Ayuso & Montserrat Guillén & Jens Perch Nielsen, 2016. "Improving automobile insurance ratemaking using telematics: incorporating mileage and driver behaviour data," Working Papers XREAP2016-08, Xarxa de Referència en Economia Aplicada (XREAP), revised Dec 2016.
    4. Antonio Manresa & Ferran Sancho, 2012. "Leontief versus Ghosh: two faces of the same coin," Working Papers XREAP2012-18, Xarxa de Referència en Economia Aplicada (XREAP), revised Oct 2012.
    5. Anna Castañer & Mª Mercè Claramunt & Alba Tadeo & Javier Varea, 2016. "Modelización de la dependencia del número de siniestros. Aplicación a Solvencia II," Working Papers XREAP2016-01, Xarxa de Referència en Economia Aplicada (XREAP), revised Sep 2016.
    6. Catalina Bolancé & Zuhair Bahraoui & Ramon Alemany, 2015. "Estimating extreme value cumulative distribution functions using bias-corrected kernel approaches," Working Papers XREAP2015-01, Xarxa de Referència en Economia Aplicada (XREAP), revised Jan 2015.
    7. Anna Castañer & Mª Mercè Claramunt, 2014. "Optimal stop-loss reinsurance: a dependence analysis," Working Papers XREAP2014-04, Xarxa de Referència en Economia Aplicada (XREAP), revised Apr 2014.
    8. Florence Neymotin, 2014. "How Parental Involvement Affects Childhood Behavioral Outcomes," Journal of Family and Economic Issues, Springer, vol. 35(4), pages 433-451, December.

    More about this item

    Keywords

    Education; PISA; quantile regressions; parental help;

    JEL classification:

    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • 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

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