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This study is an attempt to construct a women empowerment index using multi-dimensional factors in the context of demographic and socioeconomic characteristics of women's living conditions at household level. The secondary objective of the study is also to measure the contribution of each factor towards the level of women empowerment. We have employed data from the Demographic and Health Surveys (DHS) of 38 developing economies on evermarried women in the age of 15-49. Five broad dimensions of women empowerment are created using 19 indicators from DHS that are related to the women empowerment. These five dimensions are; (i) women's work status, (ii) awareness, (iii) participation in decision making, (iv) self-esteem and, (v) self-confidence and multiple regression analysis are used for the estimation of empirical mode. The study finds that women's characteristics, primarily higher education and women's health, husband higher education, husband employment status and household wealth are positively associated with work status, awareness, decision making, selfesteem and self-confidence. Age difference younger than husband have positive association with works status, awareness, self-confidence while have negative association with selfesteem. Further, the number of children alive above five years and the number of children ever born also have significant impact on the women's empowerment. Similarly, age of head of household, gender of head of household, household size, and locality showed significant affect on the women empowerment in the sampled developing economies.
This study is an attempt to construct a women empowerment index using multi-dimensional factors in the context of demographic and socioeconomic characteristics of women's living conditions at household level. The secondary objective of the study is also to measure the contribution of each factor towards the level of women empowerment. We have employed data from the Demographic and Health Surveys (DHS) of 38 developing economies on evermarried women in the age of 15-49. Five broad dimensions of women empowerment are created using 19 indicators from DHS that are related to the women empowerment. These five dimensions are; (i) women's work status, (ii) awareness, (iii) participation in decision making, (iv) self-esteem and, (v) self-confidence and multiple regression analysis are used for the estimation of empirical mode. The study finds that women's characteristics, primarily higher education and women's health, husband higher education, husband employment status and household wealth are positively associated with work status, awareness, decision making, selfesteem and self-confidence. Age difference younger than husband have positive association with works status, awareness, self-confidence while have negative association with selfesteem. Further, the number of children alive above five years and the number of children ever born also have significant impact on the women's empowerment. Similarly, age of head of household, gender of head of household, household size, and locality showed significant affect on the women empowerment in the sampled developing economies.
In Sub-Saharan Africa, two out of five children are malnourished and malnutrition causes almost half of the child deaths (45%). Mothers are the primary caretaker of children's health, but unfortunately, most of the mothers, are not empowered in Sub-Saharan Africa. This study examined the role of mother’s empowerment in the reduction of malnutrition (stunting, wasting, and underweight) among children under five years of age in twenty-two Sub-Saharan African countries. Cross-sectional data from the most recent Demographic Health Survey (2011-2016) of twenty-two countries are used to analyze the relationship between mother's empowerment and child malnutrition through the binary logistic regression analysis. Results show that the countries with low empowerment, the prevalence of malnutrition is high. Mother empowerment is found to be a statistically significant predictor in reducing malnutrition. Mother’s education, body mass index, and age at first birth proved to be a strong predictor for reducing malnutrition. Household wealth index and household locality also have a statistically significant impact on the reduction of malnutrition. At the household level, malnutrition of children can be minimized by empowering boosting their self-esteem, self-confidence, economic resources, social resources, awareness and decision making.
It has been a controversial issue to ascertain whether girls have an advantage in literacy skills over boys or not. There are studies showing a minor or no lead of girls in literacy skills (White, 2007). On the other hand, several studies described better literacy skills in girls than boys (Ready, LoGerfo, Burkam& Lee, 2005; Coley, 2001). Reasons like differences in biology,cognitive and physical maturation (Leinhardt, Seewald & Engel, 1979) are given to explain these differences. In this study, 8-9 years 66 grade 3 children were tested on loud reading tasks in both Urdu and English.The children were extracted from a bigger sample which participated in a previous study. In the present study, we used 3-word lists (words of mixed difficulty, pseudo-words, and easy frequent words) in both Urdu and English (3+3). A t-test was run to see the difference of performance on all word reading tasks by girls, and boys. The girls scored higher than boys on all Urdu and English tasks, except pseudo-words in Urdu where the difference was not significant whereas a tendency towards significance could be seen. The results presented evidence in favour of the advantage (cognitive or social) of girls over boys of the same age and grade.
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