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Measuring the interaction between parents and children in Italian families: a structural equation approach

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  • Anna Maccagnan

Abstract

In this paper we theoretically and empirically analyse the capability to social interaction between parents and children in Italy, within a capability approach framework. For this purpose, after having identified the functionings and conversion factors related to this capability, we have built an integrated dataset for year 2008 with a procedure inspired to the propensity score matching. This allows us to work on a wide set of information, both on the realized functionings, ands on the personal and familiar factors that are likely to affect children?s attainments. We have analysed this data using descriptive statistics and structural equation modelling. Our results suggest lower levels of interaction for fathers that for mothers. Further, children?s capability to interact with the parents is negatively affected by the number of siblings in the household, by child?s increasing age and by living in the South of Italy. Also parents? characteristics are crucial: highly educated fathers tend to perform better in their interaction with the child and father-child relationship, furthermore, is positively affected by the fact that the mother is employed, while mother-child interaction does not significantly change.

Suggested Citation

  • Anna Maccagnan, 2011. "Measuring the interaction between parents and children in Italian families: a structural equation approach," Department of Economics 0645, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    • Handle: RePEc:mod:depeco:0645
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    References listed on IDEAS

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    Cited by:

    1. Tindara Addabbo & Maria Laura Di Tommaso & Anna Maccagnan, 2014. "Gender Differences in Italian Children's Capabilities," Feminist Economics, Taylor & Francis Journals, vol. 20(2), pages 90-121, April.
    2. Antoanneta Potsi & Antonella D’Agostino & Caterina Giusti & Linda Porciani, 2016. "Childhood and capability deprivation in Italy: a multidimensional and fuzzy set approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(6), pages 2571-2590, November.

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    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • D6 - Microeconomics - - Welfare Economics

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