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Fredrick Onyango Odhiambo

Biographic Data

ID122939
NAMEFredrick Onyango Odhiambo
GIVEN NAMESFredrick Onyango
FAMILY NAMEOdhiambo
SIGNATUREODHIAMBO F O
AFFILIATIONSResearchPro Solutions Ltd, Nairobi, Kenya
ORCID0000-0003-0172-3342
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS2
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2019
H-INDEX1
  • Assessing the Predictors of Lived Poverty in Kenya

    Open Access•Fredrick Onyango Odhiambo•ARTICLE•Journal of Asian and African…•2019•Cited by: 2•References: 16

    Poverty remains pervasive in Kenya despite efforts to reduce it. This may be attributed to poor understanding of its predictors. Using Afrobarometer Round 7 data and employing multivariate logistic regression, the study found that age, religion and political affiliation were risk factors associated with poverty while education was a protective factor. The study recommends that investing more in all levels of education is key to reducing poverty i…

  • Assessing the Predictors of Lived Poverty in Kenya

    Open Access•Fredrick Onyango Odhiambo•ARTICLE•Journal of Asian and African…•2019•Cited by: 2•References: 16

    Poverty remains pervasive in Kenya despite efforts to reduce it. This may be attributed to poor understanding of its predictors. Using Afrobarometer Round 7 data and employing multivariate logistic regression, the study found that age, religion and political affiliation were risk factors associated with poverty while education was a protective factor. The study recommends that investing more in all levels of education is key to reducing poverty i…

  • Assessing the Predictors of Lived Poverty in Kenya

    Open Access•Fredrick Onyango Odhiambo•ARTICLE•Journal of Asian and African…•2019•Cited by: 2•References: 16

    Poverty remains pervasive in Kenya despite efforts to reduce it. This may be attributed to poor understanding of its predictors. Using Afrobarometer Round 7 data and employing multivariate logistic regression, the study found that age, religion and political affiliation were risk factors associated with poverty while education was a protective factor. The study recommends that investing more in all levels of education is key to reducing poverty i…

Development economics (1 work) · Economic growth (1 work) · Economics (1 work) · Income, Poverty, and Inequality (1 work) · Logistic regression (1 work) · Medicine (1 work) · Microfinance and Financial Inclusion (1 work) · Political science (1 work) · Politics (1 work) · Poverty (1 work)

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