Women’s empowerment among married women aged 15-49 in Myanmar

Mya Thandar (), Hlaing Hlaing Moe () and Win Naing ()
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Mya Thandar: Professor, Department of Statistics, Yangon University of Economics
Hlaing Hlaing Moe: Associate Professor, Lecturer, Department of Statistics, Yangon University of Economics
Win Naing: Lecturer, Department of Statistics, Yangon University of Economics

Asia-Pacific Sustainable Development Journal, 2019, vol. 26, issue 2, 57-81

Abstract: The present study entails an investigation of the empowerment of married women aged 15 to 49 in Myanmar from socioeconomic and demographic perspectives based on data from the Myanmar Demographic and Health Survey 2015-16. The dimensions of women’s empowerment are categorized into two parts: women’s control over their earnings, and women’s participation in household decision-making (decisions on major household purchases, visits to family or relatives, their health care; and the well-being of their children). These two dimensions are combined to create an index of women’s empowerment. A binary logistic regression is used, by means of odds ratios to assess the relationship between women’s level of empowerment and their socioeconomic and demographic characteristics. Overall, the findings of the study show that a higher empowerment level is associated with women’s employment, increased age, urban residence, a higher educational attainment, a higher wealth quintile, and a lower level of husband’s education. In addition, women that have one child or up to four children are more likely to have a higher level of empowerment than women with no children. About three fourths of the women in the sample live in rural areas. Among those women, the ones with a higher level of empowerment are more educated, employed and have higher household income. Generating employment opportunities for women and educating women are important factors that can lead to an increase in women’s income, and accordingly, help raise the levels of women’s empowerment.

Keywords: women’s empowerment; socioeconomic and demographic characteristics; married women; binary logistic regression (search for similar items in EconPapers)
JEL-codes: J16 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:unt:japsdj:v:26:y:2019:i:2:p:57-81

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