Inequality and fertility

This article focuses on the relationship between inequality and fertility, with empirical analysis only of direct influences. Whereas much of the literature seems to be based on 0-order correlations, the present study uses multiple regression analysis to test the strength of the evidence for a relationship between inequality and fertility when competing hypotheses are also considered. In addition, this study attempts to clarify some of the issues surrounding the measurement of inequality and to show how these may affect empirical results. It appears from the results presented here that research into the relative status of women as an influence on fertility holds considerable promise. In particular, it is interesting that a measure of the relative status of women (ratio of female school enrollment to male school enrollment) that is highly correlated with absolute educational status of people in the nation in general, and even more highly correlated with absolute educational status of women, emerges as one of 3 important predictors of fertility. The other measure of the relative educational status of women (female school enrollment ratio minus male school enrollment ratio), which has lower correlations with absolute educational status both of women and people in general, does not appear important, although it should be an equally valid indicator of women's status. It also has lower correlations with total fertility rates. 1 focus of further research should be an attempt to disentangle the effects of the relative status of women from absolute status of women and absolute status of people in the nation as a whole. Less promising is the prospect of future work on the relationship between income inequaltiy and fertility. The results are unencouraging with respect to both sampling problems and the actual magnitude of the effect of inequality on fertility. Overall, it appears that the importance of income inequality as an influence on fertility may have been overstated in the past.     

Comparative analysis of the effects of alcoholic drinks of different qualities (author's transl)

The authors compared the effects of alcoholic drinks rich in fusel oil with the effects of diluted pure alcohol of the same quantity on 19 clinically healthy university students. The investigations utilized EEG and physiopsychic testing methods. The clinical symptoms were observed both under the effect of drinks and in a crapulous state ("hang-over"). It was found that alcoholic drinks rich in fusel oil can produce a more deviating EEG curve, an increased worsening of physiopsychic performance and of clinical and subjective symptoms. The necessity of regular quality control of alcoholic beverages is pointed out.