Literature DB >> 23821909

The African Development Bank, structural adjustment, and child mortality: a cross-national analysis of Sub-Saharan Africa.

Lauren E Pandolfelli1, John M Shandra.   

Abstract

We conduct a cross-national analysis to test the hypothesis that African Development Bank (AfDB) structural adjustment adversely impacts child mortality in Sub-Saharan Africa. We use generalized least square random effects regression models and two-step Heckman models that correct for selection bias using data on 35 nations with up to four time points (1990, 1995, 2000, and 2005). We find substantial support for our hypothesis, which indicates that Sub-Saharan African nations that receive an AfDB structural adjustment loan tend to have higher levels of child mortality than Sub-Saharan African nations that do not receive such a loan. This finding remains stable even when controlling for selection bias on whether or not a Sub-Saharan African nation receives an AfDB structural adjustment loan. We conclude by discussing the methodological implications of the article, policy suggestions, and possible directions for future research.

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Year:  2013        PMID: 23821909     DOI: 10.2190/HS.43.2.i

Source DB:  PubMed          Journal:  Int J Health Serv        ISSN: 0020-7314            Impact factor:   1.663


  3 in total

1.  For the children? A mixed methods analysis of World Bank structural adjustment loans, health projects, and infant mortality in Latin America.

Authors:  Shiri Noy
Journal:  Global Health       Date:  2021-01-06       Impact factor: 4.185

Review 2.  Structural adjustment programmes adversely affect vulnerable populations: a systematic-narrative review of their effect on child and maternal health.

Authors:  Michael Thomson; Alexander Kentikelenis; Thomas Stubbs
Journal:  Public Health Rev       Date:  2017-07-10

3.  Accountable Government Spending: A Cross-National Analysis of Child Mortality in Developing Nations.

Authors:  Jamie M Sommer
Journal:  Int J Health Serv       Date:  2020-10-05       Impact factor: 1.663

  3 in total

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