Prevalence and determinants of adolescent pregnancy among women of reproductive age in South Africa

The present study used the 2016 South Africa Health and Demographic Survey data to examine the prevalence and socio-demographic determinants of adolescent pregnancy among South African women aged 15-49 years, using a logistic regression model. The results showed that adolescent pregnancy is still high in South Africa, with a third of South African women having experienced pregnancy in their adolescence. The results also found that age, race, education, employment, wealth, cohabitation, larger household size and contraceptive use generally predict the risk of adolescent pregnancy among South African women. Specifically, black African women, poorly educated women, women who are employed, those who are cohabiting, women from poorer and larger households and those using contraceptives are overrepresented among ever-pregnant adolescents. The study’s findings suggest increased awareness to improve women’s sex education and sexual behaviour in the country.&nbsp

Unbiased estimator modeling in unrelated dichotomous randomized response

The unrelated design has been shown to improve the efficiency of a randomized response method and reduces respondents’ suspicion. In the light of this, the paper proposes a new Unrelated Randomized Response Model constructed by incorporating an unrelated question into the alternative unbiased estimator in the dichotomous randomized response model proposed by Ewemooje in 2019. An unbiased estimate and variance of the model are thus obtained. The variance of the proposed model decreases as the proportion of the sensitive attribute ?_A and the unrelated attribute ?_U increases, in contrast to the earlier Ewemooje model, whose variance increases as the proportion of the sensitive attribute increases. The relative efficiency of the proposed model over the earlier Ewemooje model decreases as ?_U increases when 0.1??_A? 0.3 and increases as ?_U increases when 0.35??_A? 0.45. Application of the proposed model also revealed its efficiency over the direct method in estimating the prevalence of examination malpractices among university students; the direct method gave an estimate of 19.0%, compared to the proposed method’s estimate of 23.0%. Hence, the proposed model is more efficient than the direct method and the earlier Ewemooje model as the proportion of people belonging to the sensitive attribute increases