No abstract

This article uses life history calendar (LHC) data from coastal Ghana and event history statistical methods to examine inter-regional migration for men and women, focusing on four specific migration types: rural-urban, rural-rural, urban-urban, and urban-rural. Our analysis is unique because it examines how key determinants of migration— including education, employment, marital status, and childbearing—differ by sex for these four types of migration. We find that women are significantly less mobile than men overall, but that more educated women are more likely to move (particularly to urban areas) than their male counterparts. Moreover, employment in the prior year is less of a deterrent to migration among women. While childbearing has a negative effect on migration, this impact is surprisingly stronger for men than for women, perhaps because women’s search for assistance in childcare promotes migration. Meanwhile, being married or in union appears to have little effect on migration probabilities for either men or women. These results demonstrate the benefits of a LHC approach and suggest that migration research should further examine men’s and women’s mobility as it relates to both human capital and household and family dynamics, particularly in developing settings.

In this article, we undertake an event-history analysis of fertility in Ghana. We exploit detailed life history calendar data to conduct a more refined and definitive analysis of the relationship among personal traits, urban residence, and fertility. Although urbanization is generally associated with lower fertility in developing countries, inferences in most studies have been hampered by a lack of information about the timing of residence in relationship to childbearing. We find that the effect of urbanization itself is strong, evident, and complex, and persists after we control for the effects of age, cohort, union status, and education. Our discrete-time event-history analysis shows that urban women exhibit fertility rates that are, on average, 11% lower than those of rural women, but the effects vary by parity. Differences in urban population traits would augment the effects of urban adaptation itself Extensions of the analysis point to the operation of a selection effect in rural-to-urban mobility but provide limited evidence for disruption effects. The possibility of further selection of urbanward migrants on unmeasured traits remains. The analysis also demonstrates the utility of an annual life history calendar for collecting such data in the field.

This paper examines community effects on health knowledge in a developing country setting. We examine knowledge about the etiology and prevention of child illnesses using a unique 2002 representative survey of communities and households in Ghana. We find that community context matters appreciably, even after adjusting for the anticipated positive effects of an individual's education, literacy, media exposure and household socioeconomic status. The proportion of literate adults and the presence of a market in a community positively influence a person's health knowledge. In other words, even if a person herself is not literate, living in a community with high levels of literacy or a regular market can still positively affect her health knowledge. Our results suggest that social networks and diffusion play a key role in these community effects. In turn, these results offer policy implications for Ghana and sub-Saharan Africa.