Summaryobjectives To evaluate the effectiveness of three alternative strategies to identify poor households: means testing (MT), proxy means testing (PMT) and participatory wealth ranking (PWR) in urban, rural and semi-urban settings in Ghana. The primary motivation was to inform implementation of the National Health Insurance policy of premium exemptions for the poorest households.methods Survey of 145-147 households per setting to collect data on consumption expenditure to estimate MT measures and of household assets to estimate PMT measures. We organized focus group discussions to derive PWR measures. We compared errors of inclusion and exclusion of PMT and PWR relative to MT, the latter being considered the gold standard measure to identify poor households.results Compared to MT, the errors of exclusion and inclusion of PMT ranged between 0.46-0.63 and 0.21-0.36, respectively, and of PWR between 0.03-0.73 and 0.17-0.60, respectively, depending on the setting.conclusion Proxy means testing and PWR have considerable errors of exclusion and inclusion in comparison with MT. PWR is a subjective measure of poverty and has appeal because it reflects community's perceptions on poverty. However, as its definition of the poor varies across settings, its acceptability as a uniform strategy to identify the poor in Ghana may be questionable. PMT and MT are potential strategies to identify the poor, and their relative societal attractiveness should be judged in a broader economic analysis. This study also holds relevance to other programmes that require identification of the poor in low-income countries.

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Risk preferences play a crucial role in a great variety of economic decisions. Measuring risk preferences reliably is therefore an important challenge. In this paper we ask the question whether risk preferences observed in economic experiments reflect real-life risky choice behaviour. We investigate in a sample representative for a rural region of eastern Uganda whether pursuing farming strategies with both a higher expected profit and greater variance of profits is associated with willingness to take risks in an experiment. Controlling for other determinants of risk-taking in agriculture, we find that risky choice behaviour in the experiment is correlated with risky choice behaviour in real life in one domain, i.e. the purchase of fertiliser, but not in other domains, i.e. the growing of cash crops and market-orientation more broadly. Our findings suggest that economic experiments may be good at capturing real-world risky choice behaviour that is narrowly bracketed

This study investigates the long term economic impact of severe obstetric complications for women and their children in Burkina Faso, focusing on measures of food security, expenditures and related quality of life measures. It uses a hospital based cohort, first visited in 2004/2005 and followed up four years later. This cohort of 1014 women consisted of two main groups of comparison: 677 women who had an uncomplicated delivery and 337 women who experienced a severe obstetric complication which would have almost certainly caused death had they not received hospital care (labelled a “near miss” event). To analyze the impact of such near miss events as well as the possible interaction with the pregnancy outcome, we compared household and individual level indicators between women without a near miss event and women with a near miss event who either had a live birth, a perinatal death or an early pregnancy loss. We used propensity score matching to remove initial selection bias. Although we found limited effects for the whole group of near miss women, the results indicated negative impacts: a) for near miss women with a live birth, on child development and education, on relatively expensive food consumption and on women’s quality of life; b) for near miss women with perinatal death, on relatively expensive foods consumption and children’s education and c) for near miss women who had an early pregnancy loss, on overall food security. Our results showed that severe obstetric complications have long lasting consequences for different groups of women and their children and highlighted the need for carefully targeted interventions.

This contribution examines the relation between gender and network formation in rural Nicaragua in 2007 and studies differences in the structure and contents of men's and women's networks. Such differences are relevant, as network theory suggests that structural characteristics�-�as well as the contents of networks�-�strongly influence the type and amount of benefits generated. Through the application of dyadic regression techniques, this study examines the determinants of the size and socioeconomic heterogeneity of individual networks. Research findings suggest gender segregation of networks and considerable differences in the structure and content of men's and women's networks. These differences relate to the gendered division of labor and to women's time poverty in particular. Our results are relevant in a context where policy makers increasingly consider social networks an important policy tool. We caution against a gender-blind alignment on existing social networks and argue for detailed mapping and unpacking of social networks through a gender lens.Social network analysis, dyadic regression, gender sorting, gendered labor division, rural Nicaragua,