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Education and fertility: an investigation on Italian families

  • Aldieri, Luigi
  • Vinci, Concetto Paolo

In this paper we analyse the correlation between the level of education and the number of children in Italy. We select 10,720 Italian families from the 2004-2007 European Union Statistics on Income and Living Conditions (EU-SILC) dataset. Our dependent variable is represented by the number of children ever born to each respondent. Since the number of children ever born is a count variable, Poisson regression is the suitable statistical procedure used to conduct the empirical analysis. First, we estimate the correlation between the female’s education and her number of children, and then we use also partner’s education to take into account the family dimension. Furthermore, in the context of fertility, zero observations might be due either to the choice not to have children or to impossibility to become a mother. For this reason, we adopt also a more appropriate tool, that is a Zero-Inflated Poisson regression. From the empirical results, we may observe a significant negative correlation between the level of education and the number of children.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 31392.

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Date of creation: 10 Jun 2011
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Handle: RePEc:pra:mprapa:31392
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  1. SandraE. Black & PaulJ. Devereux & KjellG. Salvanes, 2008. "Staying in the Classroom and out of the maternity ward? The effect of compulsory schooling laws on teenage births," Economic Journal, Royal Economic Society, vol. 118(530), pages 1025-1054, 07.
  2. Lucia Breierova & Esther Duflo, 2004. "The Impact of Education on Fertility and Child Mortality: Do Fathers Really Matter Less Than Mothers?," NBER Working Papers 10513, National Bureau of Economic Research, Inc.
  3. Monstad, Karin & Propper, Carol & Salvanes, Kjell G, 2008. "Education and Fertility: Evidence from a Natural Experiment," CEPR Discussion Papers 6816, C.E.P.R. Discussion Papers.
  4. Una Okonkwo Osili & Bridget Terry Long, 2007. "Does Female Schooling Reduce Fertility? Evidence from Nigeria," NBER Working Papers 13070, National Bureau of Economic Research, Inc.
  5. Aldieri, Luigi & Vinci, Concetto Paolo, 2010. "An investigation of the relation between the number of children and education in Italy," MPRA Paper 28534, University Library of Munich, Germany.
  6. Winkelmann, Rainer & Zimmermann, Klaus F, 1995. " Recent Developments in Count Data Modelling: Theory and Application," Journal of Economic Surveys, Wiley Blackwell, vol. 9(1), pages 1-24, March.
  7. Luigi Aldieri & Adriana Barone & Concetto Paolo Vinci, 2006. "Human capital and fertility decisions in Italy: a microeconometric analysis of ECHP data," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 49(4), pages 281-292.
  8. Justin McCrary & Heather Royer, 2006. "The Effect of Female Education on Fertility and Infant Health: Evidence from School Entry Policies Using Exact Date of Birth," NBER Working Papers 12329, National Bureau of Economic Research, Inc.
  9. Luigi ALDIERI & Adriana BARONE & Concetto Paolo VINCI, 2010. "Education and Second Birth Risks in Italy," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 118(4), pages 417-432.
  10. Jan M. Hoem & Alexia Prskawetz & Gerda R. Neyer, 2001. "Autonomy or conservative adjustment? The effect of public policies and educational attainment on third births in Austria," MPIDR Working Papers WP-2001-016, Max Planck Institute for Demographic Research, Rostock, Germany.
  11. Kirdar, Murat & Meltem, Dayioglu & Ismet, Koc, 2016. "The Effect of Compulsory Schooling Laws on Teenage Marriage and Births in Turkey," MPRA Paper 72119, University Library of Munich, Germany.
  12. Kimura, Masako & Yasui, Daishin, 2007. "Occupational choice, educational attainment, and fertility," Economics Letters, Elsevier, vol. 94(2), pages 228-234, February.
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