2015
DOI: 10.1596/1813-9450-7260
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Inequality of Outcomes and Inequality of Opportunity in Tanzania

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Cited by 8 publications
(10 citation statements)
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“…Whereas, Ersado and Aran (2015) have applied, for the case of Egypt, the Shapley value decomposition proposed by Shorrocks (2013) to estimate contributions of different factors. Hassine and Zeufack (2015) who focused in their study on both inequality of outcomes and inequality of opportunities in Tanzania have used the unconditional quantile regression decomposition. In the current study, the Shapley decomposition procedure is applied to estimate the contribution to inequality of each variable based on the concept of Shapely value in cooperative games.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Whereas, Ersado and Aran (2015) have applied, for the case of Egypt, the Shapley value decomposition proposed by Shorrocks (2013) to estimate contributions of different factors. Hassine and Zeufack (2015) who focused in their study on both inequality of outcomes and inequality of opportunities in Tanzania have used the unconditional quantile regression decomposition. In the current study, the Shapley decomposition procedure is applied to estimate the contribution to inequality of each variable based on the concept of Shapely value in cooperative games.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Rural-urban and regional disparities, in certain cases, may lead to social and economic instability as happened recently in Tunisia in 2008 and 2011. Such instability may weaken popular support for reforms toward market-oriented and private sector-led economy, hindering the process of economic renovation and development (Hassine & Zeufack, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…2 The results were far superior to the 2001 sub-national poverty estimates which lacked statistical representation at the sub-national level. The REPOA study was also advanced compared to contributions from Demombynes and Hoogeveen (2007), Mkenda et al (2004), Hassine and Zeufack (2015), and World Bank (2015), which ended with poverty estimates at the rural/urban level. REPOA's contribution revealed per capita consumption inequalities with as much as a 40 percentage point difference between the poorest region (i.e.…”
Section: Poverty Mappingmentioning
confidence: 99%
“…However, the poverty estimates provided by the HBS survey data are disaggregated at only three levels: ruralurban, Dar es Salaam, and other urban. Such levels of disaggregation are limited and can possibly hide persistent and widening regional disparities (Hassine and Zeufack 2015). Notwithstanding limited disaggregation, HBS reports are less interested in household ownership of assets, an important socio-economic aspect that differs from income measures of poverty, which is prone to measurement error and reporting biases.…”
Section: Hbs Analytical Reportsmentioning
confidence: 99%
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