Women's Property Rights and Gendered Policies: Implications for Women's Long-term Welfare in Rural Tanzania.

This paper evaluates effects of community-level women's property and inheritance rights on women's economic outcomes using a 13 year longitudinal panel from rural Tanzania. In the preferred model specification, inverse probability weighting is applied to a woman-level fixed effects model to control...

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Publicado en:Journal of Development Studies Vol. 47; no. 1; pp. 1 - 31
Autor principal: Peterman, Amber
Formato: Artículo
Publicado: Taylor & Francis Ltd Jan2011
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Acceso en línea:Ver este registro en EBSCOhost
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        atl: Women's Property Rights and Gendered Policies: Implications for Women's Long-term Welfare in Rural Tanzania.
      aug:
        au: Peterman, Amber
        affil: International Food Policy Research Institute, Washington, DC, USA
      su:
        Property rights
        Inheritance & succession
        Women's rights
        Women's employment
        Self-employment
        Tanzania
      sug:
        subj:
          Tanzania
          Property rights
          Inheritance & succession
          Women's rights
          Women's employment
          Self-employment
      ab: This paper evaluates effects of community-level women's property and inheritance rights on women's economic outcomes using a 13 year longitudinal panel from rural Tanzania. In the preferred model specification, inverse probability weighting is applied to a woman-level fixed effects model to control for individual-level time invariant heterogeneity and attrition. Results indicate that changes in women's property and inheritance rights are significantly associated with women's employment outside the home, self-employment and earnings. Results are not limited to sub-groups of marginalised women. Findings indicate lack of gender equity in sub-Saharan Africa may inhibit economic development for women and society as a whole.
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    language: English
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      custom: Copyright of Journal of Development Studies is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
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