A Theory of Social Norms, Women's Time Allocation, and Gender Inequality in the Process of Development
Pierre-Richard Agénor ()
Centre for Growth and Business Cycle Research Discussion Paper Series from Economics, The University of Manchester
This paper studies how social norms influence gender bias in the workplace and in the family, how these two forms of discrimination interact among themselves and with intra-household bargaining, and how gender norms evolve in the course of development. The presence of women in the labor market is a key determinant of the degree of gender bias in the workplace. Household preferences towards girls' education depend on women's bargaining power which, through the male-female wage gap, depends itself on gender bias in the labor market. Experiments with a calibrated version of the model for a stylized low-income country show that interactions between social norms, women's time allocation, and gender gaps are a critical source of growth dynamics. Initial measures aimed at mitigating the influence of discriminatory norms regarding gender roles in the workplace and in the family can magnify over time the benefits of standard policy prescriptions (aimed for instance at fostering childhood education) in promoting development and gender equality.
Pages: 50 pages
New Economics Papers: this item is included in nep-dem, nep-gen, nep-ltv, nep-pke and nep-soc
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://hummedia.manchester.ac.uk/schools/soss/cgbc ... apers/dpcgbcr237.pdf (application/pdf)
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:man:cgbcrp:237
Access Statistics for this paper
More papers in Centre for Growth and Business Cycle Research Discussion Paper Series from Economics, The University of Manchester Contact information at EDIRC.
Bibliographic data for series maintained by Marianne Sensier ().