Obtaining variances for the plug-in estimator of the Gini coefficient for inequality has preoccupied researchers for decades with the proposed analytic formulae often being regarded as being too cumbersome to apply, as well as usually based on the assumption of an iid structure. We examine several variance estimation techniques for a Gini coefficient estimator obtained from a complex survey, a sampling design often used to obtain sample data in inequality studies. In the first part of the dissertation, we prove that Bhattacharya’s (2007) asymptotic variance estimator when data arise from a complex survey is equivalent to an asymptotic variance estimator derived by Binder and Kovačević (1995) nearly twenty years earlier. In addition, to aid applied researchers, we also show how auxiliary regressions can be used to generate the plug-in Gini estimator and its asymptotic variance, irrespective of the sampling design. In the second part of the dissertation, using Monte Carlo (MC) simulations with 36 data generating processes under the beta, lognormal, chi-square, and the Pareto distributional assumptions with sample data obtained under various complex survey designs, we explore two finite sample properties of the Gini coefficient estimator: bias of the estimator and empirical coverage probabilities of interval estimators for the Gini coefficient. We find high sensitivity to the number of strata and the underlying distribution of the population data. We compare the performance of two standard normal (SN) approximation interval estimators using the asymptotic variance estimators of Binder and Kovačević (1995) and Bhattacharya (2007), another SN approximation interval estimator using a traditional bootstrap variance estimator, and a standard MC bootstrap percentile interval estimator under a complex survey design. With few exceptions, namely with small samples and/or highly skewed distributions of the underlying population data where the bootstrap methods work relatively better, the SN approximation interval estimators using asymptotic variances perform quite well. Finally, health data on the body mass index and hemoglobin levels for Bangladeshi women and children, respectively, are used as illustrations. Inequality analysis of these two important indicators provides a better understanding about the health status of women and children. Our empirical results show that statistical inferences regarding inequality in these well-being variables, measured by the Gini coefficients, based on Binder and Kovačević’s and Bhattacharya’s asymptotic variance estimators, give equivalent outcomes. Although the bootstrap approach often generates slightly smaller variance estimates in small samples, the hypotheses test results or widths of interval estimates using this method are practically similar to those using the asymptotic variance estimators. Our results are useful, both theoretically and practically, as the asymptotic variance estimators are simpler and require less time to calculate compared to those generated by bootstrap methods, as often previously advocated by researchers. These findings suggest that applied researchers can often be comfortable in undertaking inferences about the inequality of a well-being variable using the Gini coefficient employing asymptotic variance estimators that are not difficult to calculate, irrespective of whether the sample data are obtained under a complex survey or a simple random sample design. / Graduate / 0534 / 0501 / 0463 / aahoque@gmail.com

<p>The first objective of this study is to show if diffusion of contraception in areas of traditional high fertility has gone through profound changes. Indeed, we would like to know if contraceptive behaviours have evolved because of new fertility perceptions and also because partners now have greater freedom to make choices in a relationship. The second objective of this study is not only to highlight the levels and trends of contraception and the factors influencing their use (government policies, role of family planning, etc.) in developing countries, but also to consider the population of unmet-needs of contraception. Indeed, the level of contraceptive use depends obviously on users, but also on non-users with no needs and non-users with unsatisfied needs. The understanding of this last category of females is essential to a more accurate estimation of contraception levels, and, therefore for the estimation of fertility levels. This study analyses the contraceptive use in several developing countries in Africa and highlights the unsatisfied needs of contraception, to understand why such needs exist. To do so, we shall analyse available demographic data for thirty-five African countries by using the available Demographic and Health Surveys (DHS), from the 1980&rsquo / s to 2000&rsquo / s considering the DHS I, DHS II, DHS III and DHS IV. This great variety of surveys, seventy-nine in total, permits one to compare levels of contraception and &ldquo / unmet-needs&rdquo / from country to country. The surveys also, make it possible to compare the evolution over time of specific countries or specific regions, and to subsequently comprehend the determining factors of contraceptive use or non-use.</p>

<p>The first objective of this study is to show if diffusion of contraception in areas of traditional high fertility has gone through profound changes. Indeed, we would like to know if contraceptive behaviours have evolved because of new fertility perceptions and also because partners now have greater freedom to make choices in a relationship. The second objective of this study is not only to highlight the levels and trends of contraception and the factors influencing their use (government policies, role of family planning, etc.) in developing countries, but also to consider the population of unmet-needs of contraception. Indeed, the level of contraceptive use depends obviously on users, but also on non-users with no needs and non-users with unsatisfied needs. The understanding of this last category of females is essential to a more accurate estimation of contraception levels, and, therefore for the estimation of fertility levels. This study analyses the contraceptive use in several developing countries in Africa and highlights the unsatisfied needs of contraception, to understand why such needs exist. To do so, we shall analyse available demographic data for thirty-five African countries by using the available Demographic and Health Surveys (DHS), from the 1980&rsquo / s to 2000&rsquo / s considering the DHS I, DHS II, DHS III and DHS IV. This great variety of surveys, seventy-nine in total, permits one to compare levels of contraception and &ldquo / unmet-needs&rdquo / from country to country. The surveys also, make it possible to compare the evolution over time of specific countries or specific regions, and to subsequently comprehend the determining factors of contraceptive use or non-use.</p>

Background and objectives: Childhood sexual abuse (CSA) is a substantial public health and human rights problem, as well as a growing concern in sub-Saharan Africa (SSA). It has both short and long term effects on girls: physical and psychological, including negative sexual outcomes. Up to one-third of adolescent girls report their first sexual experience as being forced. Despite growing evidence supporting a link between contextual factors and violence, no studies have investigated the connection between CSA and contextual factors. It is therefore important to identify the extent of CSA and understand factors associated with it in SSA in order to develop interventions aimed to address the scale of the problem. Aim: The overall aim of this thesis is to assess the individual and contextual factors associated with CSA. In addition, the thesis aims to quantify the magnitude of CSA and describe the factors associated with CSA among women from SSA (Study I). This thesis also examines the independent contribution of individual and community socio-economic status on CSA (Study II). Moreover, it scrutinises the effect of social disorganisation on CSA (Study III) and explores the relationship between CSA and sexual risk behaviours as well as potential mediators (Study IV). Methods: This thesis used the Demographic and Health Survey (DHS) datasets conducted between 2006 and 2008 from six SSA countries. The thesis used multiple logistic regression models to describe and explore factors associated with CSA among 69,977 women (Study I).  It used multivariable multilevel logistic regression analysis to explore the effect of contextual level variables (neighbourhood socio-economic status) on CSA among 6,351 girls (Study II). Neighbourhood socio-economic status was operationalized with a principal component analysis using the proportion of respondents who were unemployed, illiterates, living below poverty level and rural residents. Study III applied multivariable multilevel logistic regression analysis on 6,351 girls and considered five measures of social disorganisation at the community level: neighbourhood poverty, female-headed households, residential mobility, place of residence, population density, and ethnic diversity. In study IV, 12,800 women from the Nigerian DHS were used. Structural equation modelling was applied using a two-step approach. The first step used a confirmatory factor analysis to develop an acceptable measurement model while the second step involved modifying the measurement model to represent the postulated causal model framework. Results: In study I, the reported prevalence of CSA ranged from 0.3% in Liberia to 4.3% in Zambia when the prevalence was based on all respondents aged between 15 and 49 years and who were present during the survey. None of the socio-economic factors were associated with CSA. In study II, where the data was restricted to permanent residents aged between 15 and 18 years, the prevalence ranged between 1.04% in Liberia to 5.8% in Zambia. At the individual level, there was no significant association between CSA and wealth status while at the community level, there was no significant association between CSA and socio-economic position. However, 22% of the variation in CSA was attributed to the community level factors. In study III, there was significant variation in the odds of reporting CSA across the communities, with community level factors accounting for 18% of the variation. In addition, respondents from communities with a high family disruption rate were 57% more likely to have reported sexual abuse in childhood. Study IV showed that there was a significant association between CSA and sexual risk behaviours and the association was mediated by alcohol and cigarette use. Conclusions: The study provides evidence that adolescents in the same community were subjected to common contextual influences. It also highlighted the significance of mediators in the relationship between CSA and sexual risk behaviours. It is therefore important that effective preventive strategies are developed and implemented that will cut across all socio-economic spheres in a context that both permits and encourages disclosure as well as identifying predisposing circumstances for recurrence.

Philosophiae Doctor - PhD / The first objective of this study is to show if diffusion of contraception in areas of traditional high fertility has gone through profound changes. Indeed, we would like to know if contraceptive behaviours have evolved because of new fertility perceptions and also because partners now have greater freedom to make choices in a relationship. The second objective of this study is not only to highlight the levels and trends of contraception and the factors influencing their use (government policies, role of family planning, etc.) in developing countries, but also to consider the population of unmet-needs of contraception. Indeed, the level of contraceptive use depends obviously on users, but also on non-users with no needs and non-users with unsatisfied needs. The understanding of this last category of females is essential to a more accurate estimation of contraception levels, and, therefore for the estimation of fertility levels. This study analyses the contraceptive use in several developing countries in Africa and highlights the unsatisfied needs of contraception, to understand why such needs exist. To do so, we shall analyse available demographic data for thirty-five African countries by using the available Demographic and Health Surveys (DHS), from the 1980's to 2000's considering the DHS I, DHS II, DHS III and DHS IV. This great variety of surveys, seventy-nine in total, permits one to compare levels of contraception and 'unmet-needs' from country to country. The surveys also, make it possible to compare the evolution over time of specific countries or specific regions, and to subsequently comprehend the determining factors of contraceptive use or non-use. / South Africa

Since 2006, Uganda has experienced a nonchanging neonatal mortality rate of 27 out of 1,000 live births, which is higher than the global average of 19 deaths for every 1,000 live births. The purpose of this retrospective cross-sectional study was to determine factors affecting access to health services and their impact on newborn deaths in Uganda. Mosley and Chen's model for child survival in developing nations provided the framework for the study. Secondary data from the 2016 demographic and health survey (UDHS) collected by the Uganda Bureau of Statistics (UBOs) was used. A total of 7,538 cases were used and analyzed using binary logistic regression and one-way analysis of covariance (ANCOVA). The results showed attending less than 4 antenatal care (ANC) visits during pregnancy increased the odds of neonatal deaths 1.57 times, while not taking antimalarial drugs during pregnancy increased the odds of neonatal deaths 1.67 times. However, receiving 4 or more tetanus toxoid (TT) vaccine doses before pregnancy was not statistically associated with an increased risk of neonatal death (p = .597). Also, there was no significant relationship between neonatal mortality and whether distance to health facilities was a challenge (p = .276) or receiving medical assistance during childbirth (p = .420). While there were significant differences in deaths of newborns in geographic regions while controlling for the number of ANC visits (p = .023), there were no differences while controlling for all three covariates, F(4, 117) = 2.00, p = .098. Findings may be used to inform government policies on ANC and malaria prevention during pregnancy, which may reduce neonatal mortality rates in Uganda.

Magister Philosophiae - MPhil / The purpose of this research is to study the effect of different demographic and socio economic factors on the contraceptive use among currently married women of age 15-49 in the two regions of Ethiopia, Amhara (17,214,056) and Oromiya (27,158,471). Data are obtained from the 2005 Ethiopian Demographic and Health Survey (EDHS). Information on contraceptive use was provided by current use 1334 (14.7), future use 4017 (52.0), unmet need for spacing 1817 (20.0) and limiting 1249 (13.3) currently married women aged 15-49 interviewed in the 2005 Ethiopian Demographic and Health Survey (EDHS). / South Africa

[Truncated abstract] The aims of the study were twofold; firstly, to describe the inequality in infant mortality in Indonesia namely, to look at the extent and magnitude of the problem in terms of the estimated number of infant deaths, the differentials in infant mortality rates, the probability of infant deaths across provinces, urban and rural areas, and across regions of Indonesia. Secondly, to examine the effect of family welfare status and maternal educational levels on the probability of infant deaths. The study design was that of a population-based multistage stratified survey of the 1997 Indonesian Demographic and Health Survey. Results of the study were obtained from a sample of 28,810 reproductive women aged 15 to 49 years who belonged to 34,255 households. A binary outcome variable was selected, namely, whether or not each of the live born infant(s) from the interviewed women was alive or dead prior to reaching one year of age. Of interest were the variables related to socio-economic status, measured by Family Welfare Status Index and maternal educational levels. The following risk factors were also investigated: current contraceptive methods; birth intervals; maternal age at first birth; marital duration; infants’ size perceived by the mothers; infants’ birth weight; marital status; prenatal care by health personnel; antenatal TT immunization; place of delivery; and religion. Geographical strata (province) and residence (urban and rural areas) were also considered. Both descriptive and multivariate analyses were undertaken. Descriptive analysis was aimed at obtaining non-biased estimates of the infant mortality rates at the appropriate levels of aggregation. Multivariate analysis involved a logistic regression model using the Generalized Estimating Equations (GEE) model-fitting technique. The procedure, a multilog-cumlogit , uses the Taylor Series Linearization methods to compute modelbased variance, and which adjusts for the complex sampling design. Results of descriptive analysis indicate that, indeed, there are inequalities in infant mortality across administrative divisions of the country, represented by provinces and regions, as well as across residential areas, namely urban and rural areas. Also, the results suggested that there is socio-economic inequality in infant mortality, as indicated by a dose-response effect across strata of family welfare and maternal educational levels, both individually and interactively. These inequalities varied by residence (urban and rural), provinces and regions (Java Bali, Outer Java Bali I and Outer Java Bali II). Furthermore, the probability of infant mortality was significantly greater among highrisk mothers, characterized by a number of risk factors used in the study

<p>The purpose of this research is to study the effect of different demographic and socio economic factors on the contraceptive use among currently married women of age 15-49 in the two regions of Ethiopia, Amhara (17,214,056) and Oromiya (27,158,471). Data are obtained from the 2005 Ethiopian Demographic and Health Survey (EDHS). Information on contraceptive use was provided by current use 1334 (14.7), future use 4017 (52.0), unmet need for spacing 1817 (20.0) and limiting 1249 (13.3) currently married women aged 15&ndash / 49 interviewed in the 2005 Ethiopian Demographic and Health Survey (EDHS).</p>

<p>The purpose of this research is to study the effect of different demographic and socio economic factors on the contraceptive use among currently married women of age 15-49 in the two regions of Ethiopia, Amhara (17,214,056) and Oromiya (27,158,471). Data are obtained from the 2005 Ethiopian Demographic and Health Survey (EDHS). Information on contraceptive use was provided by current use 1334 (14.7), future use 4017 (52.0), unmet need for spacing 1817 (20.0) and limiting 1249 (13.3) currently married women aged 15&ndash / 49 interviewed in the 2005 Ethiopian Demographic and Health Survey (EDHS).</p>