MERAL Myanmar Education Research and Learning Portal
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Women's Empowerment in Myanmar:An Analysis of DHS Data For Married Women Age15-49
https://meral.edu.mm/records/8909
https://meral.edu.mm/records/89093b33b2e7-d289-4235-96ff-8893e8ebec0c
0bda03f3-d9b1-4347-87dc-ecdf1c8d0d3e
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Journal article | ||||||
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Title | ||||||
Title | Women's Empowerment in Myanmar:An Analysis of DHS Data For Married Women Age15-49 | |||||
Language | en | |||||
Publication date | 2019-04-01 | |||||
Authors | ||||||
Mya Thandar | ||||||
Description | ||||||
This study investigated women’s empowerment among currently married women age 15-49 in Myanmar from socioeconomic and demographic perspectives, based on data from the 2015-16 Myanmar Demographic and Health Survey (MDHS). The dimensions of women’s empowerment were categorized into two parts: women’s control over own earnings, and women’s participation in household decisionmaking (decisions on major household purchases, visits to family or relatives, women’s own health care, and well-being of their children). These two dimensions were converted into an index of women’s empowerment. Binary logistic regression was used, by means of odds ratios, to assess the relationship between women’s level of empowerment and their socioeconomic and demographic characteristics. Overall, the results found a higher empowerment level associated with women’s employment, increased age, urban residence, higher educational attainment, higher wealth quintile, and lower level of husband’s education. Also, women with one or two children, as well as women with three or four children, were more likely to have a high level of empowerment, compared with women with no children. About three-fourths of the women in the sample lived in rural areas. Among women in rural areas, those found to have a higher level of empowerment had more education, were employed, and had 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 thus help raise levels of women’s empowerment. KEY WORDS: Women’s empowerment, socioeconomic and demographic characteristics, currently married women, binary logistic regression |
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Thesis/dissertations | ||||||
Yangon University of Economics |