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The impact of education on fertility in Italy. Changes across cohorts and south–north differences

Author

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  • Roberto Impicciatore

    (University of Bologna)

  • Gianpiero Dalla Zuanna

    (University of Padova)

Abstract

Several studies suggest that over the last decades in Italy the negative effects of women’s education on fertility have attenuated. However, recent analyses developed in other countries highlight that selection bias and potential endogeneity of education should be taken into account. Using data from the ISTAT multipurpose survey ‘Famiglia e Soggetti Sociali’, conducted in 2009, we apply a multiprocess model (one hazard equation for the first three birth orders and one ordered probit equation for the probability to achieve a specific level of education) with potentially correlated unobserved heterogeneity components at the individual level. Our results show that the role of education on fertility behaviours not only remains important but also tends to have an increasing relevance among younger cohorts. On the one hand, a higher proportion of highly educated women postpone first childbirth or remain childless; on the other hand, among those who decide to become mothers, we found a positive effect of higher education on the propensity to have a second child, a result that can be interpreted in terms of a time-squeeze effect among tertiary educated women. Relevant territorial differences emerge relating to the effect of higher education on the third child birth, being positive in the north of the country and negative in the south.

Suggested Citation

  • Roberto Impicciatore & Gianpiero Dalla Zuanna, 2017. "The impact of education on fertility in Italy. Changes across cohorts and south–north differences," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 2293-2317, September.
  • Handle: RePEc:spr:qualqt:v:51:y:2017:i:5:d:10.1007_s11135-016-0388-0
    DOI: 10.1007/s11135-016-0388-0
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    Cited by:

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    2. Elena Pirani & Daniele Vignoli, 2021. "Childbearing Across Partnerships in Italy: Prevalence, Demographic Correlates, Social Gradient," Econometrics Working Papers Archive 2021_15, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    3. Zuzanna Brzozowska & Eva Beaujouan & Kryštof Zeman, 2022. "Is Two Still Best? Change in Parity-Specific Fertility Across Education in Low-Fertility Countries," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(5), pages 2085-2114, October.
    4. Muhammad Tariq Majeed & Farzana Naheed Khan, 2019. "Do information and communication technologies (ICTs) contribute to health outcomes? An empirical analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(1), pages 183-206, January.
    5. Roberto Impicciatore & Giuseppe Gabrielli & Anna Paterno, 2020. "Migrants’ Fertility in Italy: A Comparison Between Origin and Destination," European Journal of Population, Springer;European Association for Population Studies, vol. 36(4), pages 799-825, September.
    6. Muhammad Tariq Majeed & Faiza Kiran, 2019. "Women’s decision making power and child labor: evidence from Pakistan," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2175-2197, July.
    7. Maria Rita Testa, 2017. "Will highly educated women have more children in the future? Looking at reproductive plans and outcomes," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 15(1), pages 033-40.

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    More about this item

    Keywords

    Fertility; Education; Hazard models; Selection bias; Unobserved heterogeneity;
    All these keywords.

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

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