2010
DOI: 10.1080/10502551003597899
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Do Sons Prevent Marital Disruption More Than Daughters? Evidence From Italy

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Cited by 5 publications
(5 citation statements)
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“…models, as well as the results for the effects of the control variables. This study does not go into detail for the latter, as these effects are in agreement with the findings of other studies conducted in Italy (see Arosio 2004;Vignoli and Ferro 2009;Todesco 2010). 8 Model 1 clearly shows that in Italy there is a positive association between the presence of children and the stability of parental marriage.…”
Section: Methodssupporting
confidence: 92%
See 1 more Smart Citation
“…models, as well as the results for the effects of the control variables. This study does not go into detail for the latter, as these effects are in agreement with the findings of other studies conducted in Italy (see Arosio 2004;Vignoli and Ferro 2009;Todesco 2010). 8 Model 1 clearly shows that in Italy there is a positive association between the presence of children and the stability of parental marriage.…”
Section: Methodssupporting
confidence: 92%
“…For a brief, general picture of marital instability in Italy, seeVignoli andFerro (2009) andTodesco (2010).…”
mentioning
confidence: 99%
“…In these social strata the traditional image of the family was weakening, and the psychological, moral, social, and economic constraints that prevented the dissolution of an unhappy marriage were frailer than in other social groups. In addition the very few micro-level studies available in Italy all point to a women's positive gradient between marital instability and the level of education (De Rose 1992;De Rose and Rosina 1999;Arosio 2006;Vignoli and Ferro 2009;Todesco 2010). Interestingly the effect of education on the risks of dissolution appears much weaker for men (De Rose and Di Cesare 2003).…”
Section: Research Hypothesesmentioning
confidence: 99%
“…Lastly, to focus on married couples, we include only mothers who were married at the time of their first birth (n = 3,963). To address the second research question, predicting marital instability (defined as separation or divorce, taken from the union formation and dissolution histories), we use discrete-time event history analyses (Allison, 1982), which is a common approach in the literature to analyzing the risk of divorce (McDaniel, Boco, & Zella, 2013;Todesco 2010). In this approach, duration drives 'exposure' to dissolution, and so we transform the data file to analyze the risk of dissolution over time.…”
Section: Methodsmentioning
confidence: 99%