2023
DOI: 10.21203/rs.3.rs-3192449/v1
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Impact of social protection on multidimensional poverty in Togo

Dossè Mawussi DJAHINI-AFAWOUBO,
Kodjo EVLO,
Afawoubo Komi Edem DJAHINI

Abstract: This article first estimates the multidimensional poverty index using data from the Harmonized Survey of Household Living Conditions, conducted in 2018–2019 in Togo. Then, the paper examines the impact of social protection on multidimensional poverty. To account for selection biases, this paper employs the conditional mixed process, built from the seemingly unrelated regression framework. The findings show significant inequalities in the multidimensional poverty rate depending on the geographical zone, the edu… Show more

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Cited by 2 publications
(4 citation statements)
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“…A person's capabilities are assumed, as they are not directly observable [4]. The "functionings" attained are used as a proxy for measuring poverty [44][45][46].…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…A person's capabilities are assumed, as they are not directly observable [4]. The "functionings" attained are used as a proxy for measuring poverty [44][45][46].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The AFM is clear and simple to understand and allows for easy comparison over time across countries and regions as compared with other multidimensional poverty measurement indices [38,5]. This paper follows the footsteps of [46][47][48][49]64] by adopting AFM in analyzing trends of multidimensional poverty in Ghana. The paper involves comparing the intertemporal trends of MPI and its components over a ten-year period using a time series data.…”
Section: 𝑚 𝑖=1mentioning
confidence: 99%
“…A person's capabilities are assumed, as they are not directly observable [4]. The "functionings" attained are used as a proxy for measuring poverty [44][45][46].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The AFM is clear and simple to understand and allows for easy comparison over time across countries and regions as compared with other multidimensional poverty measurement indices [38,5]. This paper follows the footsteps of [46][47][48][49]64] by adopting AFM in analyzing trends of multidimensional poverty in Ghana. The paper involves comparing the intertemporal trends of MPI and its components over a ten-year period using a time series data.…”
Section: 𝑚 𝑖=1mentioning
confidence: 99%