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Income or expenditure data are collected at household level and are silent about within household inequalities. As an alternative, employing counting-based double cut-off method allows education, health, household living conditions to be measured separately and a deprivation score for each person is calculated based on pre-determined weights of each dimension. Individuals whose deprivation scores are above a pre-determined threshold are deemed multidimensionally poor. In this study, we calculate multidimensional poverty for Turkey in four equally weighted dimensions using Survey of Living Conditions 2006-2015: education, health, employment and household’s living conditions. First, we find improvement in household’s living conditions across the board and including employment leads to a faster drop in gender poverty gap. Second, overall improvement is the result of rapid improvement in younger cohorts; older individual experienced very little gain. Moreover, there is very little convergence in regional gaps between men and women and even a widening gap between women in Eastern provinces and women in the rest of the country. Finally, households with multidimensionally poor women and non-poor men are consistently the most common sub-group and the overall improvement is a result of increasing share of households with no poor members pointing towards polarization between households.


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Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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