New insights into the Far Eastern pattern of mortality

This paper investigates the consequences of using different economic status proxies on the estimated impact of economic status and other determinants of fertility. Using micro survey data from Ghana and Peru, we find that the proxies for income that best predict fertility are a principal components score of the ownership of consumer durable goods and a simple sum of ownership of these durable goods. Furthermore, the choice of the proxy generally has a minor influence on the predicted effects of the control variables. We compare the results from using a restricted set of proxies, such as those available in the Demographic and Health Surveys, with the results obtained using a lengthier set of proxies. Our results suggest implications beyond fertility analyses by providing researchers with an awareness of the sensitivity of microanalyses to the treatment of economic status. Our results also suggest practical recommendations for the collection of survey data.     

RACISM AS RENT SEEKING

Rules governing social and economic interactions among ethnic groups are modeled as public goods. The publicness of social rules can explain why race has been so consistently politicized. The potential gains from public provision attract political entrepreneurs into the field. In the absence of some constitutional restraints upon such rent seeking, race is bound to be politicized. In addition, the model can explain the existence of many government policies concerning race that are not apparently motivated by economic gain. Finally, government enforcement of ethnic economic cartels can explain some of the persistent differences in earnings across ethnic groups.     

Occupational Stress in Social Services: a Comparison of Social Workers and Home Help Staff

Correspondence to Jennifer Bradley, School of Health Sciences, University College Salford, Frederick Road, Salford M6 6PU. Summary An investigation of occupational stress among professional andsupport staff within a social services department in north-westEngland was carried out, with the aim of optimizing the useof resources in the planning of stress management interventions.A two-phased research design was used to collect qualitative(by interview) and quantitative data (by questionnaire). Theresults reported here are based on data from 63 social workersand 74 home helps, who were involved in ‘front-line’work with clients. Sources of stress, measures of individualwell-being, job satisfaction, rganizational commitment and absenteeismdata are described. Comparisons with other occupational groupsare included.