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Why do educated mothers matter? A model of parental help

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  • Canova, Luciano
  • Vaglio, Alessandro

Abstract

This paper investigates the role performed by mothers in affecting their childrens' performance at school. The article develops firstly a theoretical model in which household (parent-child pair) is treated as an individual, whose utility depends both on the performance at school of the student and on consumption. The model focuses on the different possibilities through which help of mothers may affect pupil's performance both in terms of time devoted to supervision and spillover effects. Empirical evidence then, using PISA 2006 and focusing on Italian case, shows that education of mothers is an issue when interacted with her occupational status. Highly educated mothers have a positive impact on students' score only when they are highly qualified in the job market.

Suggested Citation

  • Canova, Luciano & Vaglio, Alessandro, 2010. "Why do educated mothers matter? A model of parental help," Economics Discussion Papers 2010-29, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwedp:201029
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    References listed on IDEAS

    as
    1. Thomas Fuchs & Ludger Wößmann, 2008. "What accounts for international differences in student prformance? A re-examination using PISA data," Studies in Empirical Economics, in: Christian Dustmann & Bernd Fitzenberger & Stephen Machin (ed.), The Economics of Education and Training, pages 209-240, Springer.
    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. 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.
    2. Esther-Vayá & José-Ramón-García & Joaquim-Murillo & Javier-Romaní & Jordi-Suriñach, 2016. "“Economic Impact of Cruise Activity: The Port of Barcelona"," IREA Working Papers 201613, University of Barcelona, Research Institute of Applied Economics, revised Nov 2016.
    3. Mercedes Ayuso & Montserrat Guillen & Jens Perch Nielsen, 2019. "Improving automobile insurance ratemaking using telematics: incorporating mileage and driver behaviour data," Transportation, Springer, vol. 46(3), pages 735-752, June.
    4. 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.
    5. 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.
    6. 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.
    7. Florence Neymotin, 2014. "How Parental Involvement Affects Childhood Behavioral Outcomes," Journal of Family and Economic Issues, Springer, vol. 35(4), pages 433-451, December.

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    More about this item

    Keywords

    education; PISA; quantile regressions; parental help;
    All these keywords.

    JEL classification:

    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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