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Geographical variation and determinants of women unemployment status in Ethiopia; A multilevel and spatial analysis from 2016 Ethiopia Demographic and Health Survey data

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  • Solomon Sisay Mulugeta
  • Shewayiref Geremew Gebremichael
  • Setegn Muche Fenta
  • Berhanu Engidaw Getahun

Abstract

Background: Unemployment is a major problem in both developed and developing countries. In Ethiopia, women unemployment is particularly high, and this makes it a grave socio-economic concern. The aim of this study is to assess the spatial distribution and identify the determinant factors of women unemployment in Ethiopia. Methods: The data used for the study is the Ethiopian Demographic and Health Surveys of 2016. A total of 15683 women are involved in the study. Global Moran’s I statistic and Poisson-based purely spatial scan statistics are employed to explore spatial patterns and detect spatial clusters of women unemployment, respectively. To identify factors associated with women unemployment, multilevel logistic regression model is used. Results: A spatial analysis showed that there was a major spatial difference in women unemployment in Ethiopia with Global Moran’s index value of 0.3 (p

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  • Solomon Sisay Mulugeta & Shewayiref Geremew Gebremichael & Setegn Muche Fenta & Berhanu Engidaw Getahun, 2022. "Geographical variation and determinants of women unemployment status in Ethiopia; A multilevel and spatial analysis from 2016 Ethiopia Demographic and Health Survey data," PLOS ONE, Public Library of Science, vol. 17(7), pages 1-16, July.
    • Handle: RePEc:plo:pone00:0270989
    DOI: 10.1371/journal.pone.0270989
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