F
Frank Agyire-Tettey
Researcher at University of Ghana
Publications - 10
Citations - 128
Frank Agyire-Tettey is an academic researcher from University of Ghana. The author has contributed to research in topics: Standard of living & Poverty. The author has an hindex of 4, co-authored 9 publications receiving 56 citations.
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Assessment of the determinants that influence the adoption of sustainable soil and water conservation practices in Techiman Municipality of Ghana
TL;DR: In this article, the authors assessed the relationship between farmer characteristics and the degree to which nine soil and water conservation practices (SWCPs) are adopted by 300 maize farmers in Techiman Municipality, Ghana.
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An unconditional quantile regression based decomposition of spatial welfare inequalities in Ghana.
TL;DR: In this article, the authors employed an unconditional quantile regression and recently proposed decomposition technique based on re-centred influence functions to find significant spatial differences in consumption expenditure across selected quantiles, with rural-urban inequalities driven largely by differences in returns to households' endowments.
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Gender and returns to entrepreneurship in Africa
TL;DR: In this article, the authors assess determinants of returns to male and female entrepreneurship in Ghana, Kenya and Uganda at selected quantiles along the distribution, as well as examine gender gaps in returns to entrepreneurship and factors contributing these gaps.
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Disability and Household Welfare in Ghana: Costs and Correlates
TL;DR: In this article, the authors examined the welfare effects of households with persons with disabilities and found that the extra cost to households with a person with disability to be 26% of annual household consumption expenditures.
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Multidimensional Child Poverty in Ghana: Measurements, Determinants, and Inequalities
TL;DR: In this article, the authors measured the extent and sources of childhood deprivations in Ghana and examined subgroup differentials in child poverty and examined the child quality-quantity by estimating the causal relationship between number of children and child poverty.