Polygyny and Child Growth: Evidence From Twenty-Six African Countries.

Using household data from twenty-six African countries, this study examines the correlation between four measures of polygyny and child growth. External validity is added to existing small-sample evidence by investigating this correlation across many countries and by controlling for, as well as expl...

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Publicado en:Feminist Economics Vol. 21; no. 2; pp. 105 - 131
Autores principales: Wagner, Natascha, Rieger, Matthias
Formato: Artículo
Publicado: Taylor & Francis Ltd Apr2015
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Acceso en línea:Ver este registro en EBSCOhost
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        atl: Polygyny and Child Growth: Evidence From Twenty-Six African Countries.
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        au:
          Wagner, Natascha
          Rieger, Matthias
        affil:
          International Institute of Social Studies, Erasmus University Rotterdam, The Hague, Netherlands
          Max Weber Programme, European University Institute, Florence, Italy
      su:
        Polygyny
        Households
        Heterogeneity
        Mothers
        Childbirth
      sug:
        subj:
          Polygyny
          Households
          Heterogeneity
          Mothers
          Childbirth
      keyword:
        C26
        child growth
        D13
        demographic and health surveys
        heterogeneous effects
        O12
        Sub-Saharan Africa
      ab: Using household data from twenty-six African countries, this study examines the correlation between four measures of polygyny and child growth. External validity is added to existing small-sample evidence by investigating this correlation across many countries and by controlling for, as well as exploring, sources of heterogeneity at the regional, country, household, and maternal level. Household fixed-effects models indicate that the children of monogamous mothers have significantly greater height-for-age z-scores than children of polygynous mothers. Also, a low ranking in the hierarchy of mothers and the ratio of married women to men are negatively correlated with child height. The correlation varies widely across countries and is strongest for multigenerational polygynous households.
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