Abstract
This paper employs data from the Bangladesh Demographic and Health Survey (2004) to explore
how women’s empowerment is related to partner’s attitudes, participation in microcredit programmes and a set of
other socio-economic factors. We use a structural equation model with categorical observed variables. We get that
participation in microcredit programmes has a positive impact on both the empowerment’s dimensions considered,
while partner’s attitudes effect is weaker, proving that gender community norms are likely to be rooted in
women’s minds regardless of the partners’ perceptions of women’s status.
Lingua originale | English |
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pagine (da-a) | 895-912 |
Numero di pagine | 18 |
Rivista | Journal of Development Studies |
Volume | 52 |
DOI | |
Stato di pubblicazione | Pubblicato - 2016 |
Keywords
- women's empowerment, agency, latent variables, hierarchical Bayes, Markov Chain Monte Carlo