Informal payments and moonlighting in Tajikistan's health sector

This paper studies the relationship between gender and corruption in the health sector. It uses data collected directly from health workers, during a recent public expenditure tracking survey in Tajikistan's health sector. Using informal payments as an indicator of corruption, women seem at first significantly less corrupt than men as consistently suggested by the literature. However, once power conferred by position is controlled for, women appear in fact equally likely to take advantage of corruption opportunities as men. Female-headed facilities also are not less likely to experience informal charging than facilities managed by men. However, women are significantly less aggressive in the amount they extract from patients. The paper provides evidence that workers are more likely to engage in informal charging the farther they fall short of their perceived fair-wage, adding weight to the fair wage-corruption hypothesis. Finally, there is some evidence that health workers who feel that health care should be provided for a fee are more likely to informally charge patients. Contrary to informal charging, moonlighting behavior displays strong gender differences. Women are significantly less likely to work outside the facility on average and across types of health workers.Health Monitoring&Evaluation,Gender and Health,Access to Finance,Health Law,Health Economics&Finance

The returns to participation in the non-farm sector in rural Rwanda

In this paper, we investigate the differences in outcomes (earnings and consumption) between individuals (households) who participate in the non-farm sector and those who do not. We use propensity score matching methods, where we create appropriate comparison groups of individuals and households. First we find that non-farm self-employed individuals in rural Rwanda have significantly higher earnings than farm workers and non-farm formal employees. Second, we show that the benefits to non-farm self-employment are much higher among the non-poor than among the poor. Third, we show that diversified households, those with a farm and a non-farm enterprise, are less likely to be poor. Finally, farm households who do not participate in the market have significantly lower consumption levels than households that do. However, the benefits to market participation appear to matter less for the poor than for the non-poor. We find little difference in expenditures between market participants and non-market participants, for comparable households in the bottom 40% of the expenditure distribution.Environmental Economics&Policies,Public Health Promotion,Health Monitoring&Evaluation,Decentralization,Housing&Human Habitats,Livestock&Animal Husbandry,Crops&Crop Management Systems,Health Monitoring&Evaluation,Environmental Economics&Policies,Housing&Human Habitats

Food crop diversification as a risk mitigating strategy during conflict : evidence from Cote d\u27Ivoire

This study examines the significance of food crop diversification as a household risk mitigating strategy to achieve "self-sufficiency" to ensure food security during the civil conflict in Cote d’Ivoire. The main motivation for seeking self-sufficiency stems from the fact that during the period of heightened tension due to conflict, the north–south divide set by the UN peacekeeping line disrupted the agricultural supply chain from the food surplus zone, Savane in the north. While we theoretically predict a positive effect on crop diversification because of interrupted food supply chain, we also consider a negative effect due to the covariate shocks. We find robust and statistically significant empirical outcomes supporting such claims. The baseline outcomes withstand a series of robustness checks. The net effect of conflict on crop diversification is positive but not statistically significant. In addition, we find that increasing vulnerability to poverty and food insecurity during conflict seems to be the underlying factors that motivate farm households to adopt such coping strategies

Sources of the Persistent Gender Wage Gap along the Unconditional Earnings Distribution: Findings from Kenya

Past studies on gender wage inequality in Africa typically attribute the gender pay gap either to gender differences in characteristics or in the return to characteristics. The authors suggest, however, that this understanding of the two sources may be far too general and possibly overlook the underlying covariates that drive the gender wage gap. Moreover, past studies focus on the gender wage gap exclusively at the conditional mean. The authors go further to evaluate the partial contribution of each wage-determining covariate to the magnitude of the gender pay gap along the unconditional earnings distribution. The authors\u27 data are from Kenya, and their empirical technique mirrors re-centered influence function regressions. The authors\u27 results are novel and suggest that while gender differences in characteristics and the return to characteristics widen the gender pay gap at the lower end of the wage distributions, gender differences in characteristics widen the gender wage gap at the upper end of the wage distributions. Importantly, the authors find that the underlying covariates driving gender differences in characteristics and the return to characteristics are the industry, occupation, higher education and region covariates. In the middle of the distributions, however, the authors find that gender differences in the return to characteristics, fueled by education and experience covariates, exert the strongest influence on the magnitude of the gender pay gap

Inequalities in sub-Saharan African women's and girls' health opportunities and outcomes: evidence from the Demographic and Health Surveys

BACKGROUND: Maternal and reproductive health services are far from universalization and important gaps exist in their distribution across groups of women in sub-Saharan Africa (SSA). The aim of this study is to determine the magnitude of this unequal distribution of maternal and reproductive health-related opportunities and outcomes and to identify the major sources of inequality. METHODS: Demographic and Health Surveys data were used to analyse 15 opportunities for women of reproductive age (15-49), pregnant women and older adolescent girls (15-19), across 29 SSA countries. The tool employed is the Human Opportunity Index (HOI), a composite indicator that combines the availability of an opportunity (the coverage rate) with a measure of how equitably it is distributed among groups of women with different characteristics (or circumstances). Decompositions are used to assess the contribution of each individual circumstance to inequality. RESULTS: The maternity care package of services is found to have lowest average HOI (26%), while exclusive breastfeeding among children aged 0-6 months has the highest HOI (77%). The other indicators show low HOIs, sometimes lower than 50%, indicating low coverage and/or high inequality. Wealth, education and area of residence are the main contributors to inequality for women of reproductive age. Among adolescent girls, marital status is the major contributor. CONCLUSIONS: Reproductive and maternal health opportunities for women in SSA are scarce and far from reaching the global goals set by the post 2015 agenda. Further progress in improving women's and adolescents' health and well-being can only be achieved by a strong expansion of coverage to produce a more equitable and efficient distribution of health care. Failure to do so will compromise the likelihood of achieving the post-2015 Sustainable Development Goals (SDG). New metrics such as the HOI allows better understanding of the nature of challenges to achieving equity in perinatal and reproductive health, and offers a tool for monitoring progress in implementing a strong equity agenda as a part of the SDG initiative

Informal payments and moonlighting in Tajikistan's health sector

Andrew Dabalen; Waly Wan

Complexity, Diversity, and Stability Debate: Evidence from California County Data

A linear statistical model is used to test the hypothesis that higher levels of economic diversity are associated with more stability. We also compare the performance of several proposed indices of diversity in this linkage. The results show little sup ort for the primary hypothesis, and a mixed verdict for the second