Suicide and Educational Attainment in a Transitional Society*

The sociological evidence available to date has not firmly established the relationship between suicide and social status. It is postulated here that societies in different stages of development may manifest different patterns of etiology of suicide, and thus the suicide rates of different social strata may change over time. Educational attainment is used as an indicator of social status, rather than “usual” occupations as in previous studies. From an analysis of a transitional society, it is concluded: first, the relation between suicide and social status is negative; and second, with coming societal changes, it is likely that the relation between suicide and social status will also change.     

Public opinion surveys as guides to public policy and spending

Public opinion surveys purport to express the public's opinion. The literature on survey techniques has, however, recognized various potential limitations to the validity of survey results. While improved survey methodology may reduce statistical bias and improve validity, it cannot avoid the implicit weighting of preferences. This normative aspect of surveying has often been unrecognized or disguised as a purely technical matter. Such things as sample selection, choice of survey instrument and the method of aggregating results will each contribute to a pattern of preference weights. Several common survey techniques are examined in this light. It is proposed that no single ‘correct’ method of preference aggragation exists. Increased public recognition of, and debate on this normative aspect of surveying is recommended.     

A note on unbiasedness in ratio estimation

The method of ratio estimation for estimating the population mean ? of a characteristic y when we have auxillary information on a characteristic x highly correlated with y, consists in getting an estimator of the population ratio R = ?/X? and then multiplying this estimator by the known population mean X?. Though efficient, ratio estimators are in general biased and in this article we review some of the unbiased ratio estimators and discuss a method of constructing them. Next we present the Jackknife technique for reducing bias and show how the generalized Jackknife could be interpreted by the same method.