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IJSTR >> Volume 7 - Issue 5, May 2018 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Determinant Factors Of Women Economic Class: In Case Of Dire Dawa City, Ethiopia

[Full Text]

 

AUTHOR(S)

Alemneh Amsalu Fekadu, Bedassa Tesema, Asamenew Endaweke, Solomon Estifanos

 

KEYWORDS

Women, Economic class, Binary logistic regression

 

ABSTRACT

Background: around half of all populations in the developing world, living on less than US$2 per person per day (measured by purchasing power parity). The higher levels of productivity facilitate higher average earnings. The more secure standard of living allows them to save and invest in their families’ health, education and wellbeing. The economic well-being of women is often used as an indicator of the overall advancement of a society. Objective: the main objective of this study was to assess the determinant factors of women economic class in Dire Dawa administrative city, Ethiopia. Method: the data were obtained from 602 respondents through face to face interview. Tabular methods of data presentation and inferential analysis, particularly binary logistic regression were applied. Results: economic class is poor, when woman’s purchasing power parity is less than US$1.32 per person per day and is non-poor, greater or equal to US$1.32, from the total 602 women included in the study, 32.39 percent were living under poverty line and the remaining 67.61 percent of them were above poverty line (no-poor) based on the purchasing power parity per person per day. The estimated odds ratio (OR = 1.650) indicates that non-poor women were increased by 1.650 times when a unit change of monthly income in relation to those who are living under poverty line. The log odds of non-poor women those who had a total number of children ranges between 2 and 3 are decreased by -.535. Generally, monthly income, education level, number of children, house ownership, microfinance user, employment status, husband’s monthly income and amount of saving were found as the determinant factors of women’s economic class at 5% level of significance. Conclusions: Education provides women with the knowledge, skills and self-confidence they need to seek out economic opportunities. When women attained higher levels of education, they have opportunities to engage on larger wage earning jobs. The incidence of women poverty was shown to increase with the size of the children. Large family size has significant relationship with much greater risk of women’s poverty.

 

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