Does it matter which poverty measure we use to identify those left behind? Investigating poverty mismatch and overlap for Botswana
Khaufelo Raymond Lekobane ()
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Khaufelo Raymond Lekobane: University of Sussex
Journal of Social and Economic Development, 2022, vol. 24, issue 1, No 9, 196 pages
Abstract This study offers the first attempt in Botswana and adds to the limited literature on poverty mismatch and overlaps in Sub-Saharan Africa. Using the 2015/16 Botswana multi-topic household survey data, the study compares the country’s current official monetary poverty measure with an individual-level multidimensional poverty measure. The results show that multidimensional poverty levels are higher than monetary poverty levels. The results also reveal that significant mismatches and overlaps exist, suggesting that individuals experiencing monetary and multidimensional poverty are not the same. However, the mismatch size and overlaps vary across different subgroups of the populations and place of residence. The econometric estimation results show that age, household size, household head’s education status, household head’s employment status, and location (place of residence) influence poverty mismatch and overlap in Botswana. The findings suggest the need to go beyond traditional monetary poverty measure and complement it with multidimensional poverty measure to identify those left behind. The results are critical for policy interventions, especially for monitoring the trends, understanding poverty dynamics, and targeting social assistance programmes.
Keywords: Multidimensional poverty; Monetary poverty; Multinomial logit model; Sub-Saharan Africa; Botswana (search for similar items in EconPapers)
JEL-codes: I30 I32 I39 (search for similar items in EconPapers)
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