A gender analysis of children’s well-being and capabilities through time use data
Mauricio Matus-Lopez and
Department of Economics (DEMB) from University of Modena and Reggio Emilia, Department of Economics "Marco Biagi"
The main goal of this paper is to analyse gender differences in children’s well-being by applying a capability approach and a gender perspective both to the study of the differences in children’s capabilities by gender and to the study of the impact of the gendered allocation of time on children’s capabilities. The econometric model used is a Multiple Indicator Multiple Causes model (MIMIC). The model is estimated on a sample of children in their middle and late childhood and uses micro-data from the Spanish Time Use Survey. The study focuses on the analysis of well-being through four capabilities: social relations, education and knowledge, leisure and play activities, and domestic and care work. The results point out to the fact that the labour market behaviour by gender is not only related to human capital formation, family conditions or labour market opportunities, but also to children's well-being. Furthermore, gender stereotypes continue influencing the development of children’s capabilities during their process of socialisation.
Keywords: capabilities; child well-being; time use analysis; structural equation models (search for similar items in EconPapers)
JEL-codes: C35 I30 J22 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-eur, nep-hap and nep-hme
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:mod:dembwp:0009
Access Statistics for this paper
More papers in Department of Economics (DEMB) from University of Modena and Reggio Emilia, Department of Economics "Marco Biagi" Contact information at EDIRC.
Bibliographic data for series maintained by Sara Colombini ().