The Self-concept of Black and White Women: The Influences Upon Its Formation of Welfare Dependency, Work Effort, Family Networks, and Illnesses

Abstract . The concept of “self-efficacy” is used to test the hypothesis that the negative self-concept of welfare recipients coniributes to long term psychological and material dependency on such assistance. Self-efficacy focuses on the extent to which people are able to produce and regulate events in their lives and is associated with self-imposed performance expectations. The extent to which the minority status which Blacks occupy in this society decreases self efficacy relative to Whites is examined, using information generated from structured interviews with 290 low income Black and White women. Operationalizing the concept of self-efficacy with appropriate controls for socioeconomic status, family composition and other factors results in finding no racial differences in sense of self-efficacy between Black and White women. Observed differences in patterns of receipt of public assistance are found to be more directly related to the persistence of structural barriers to upward mobility that have differential impacts on Blacks and Whites. Long term receipt of public assistance is found to adversely affect both self-worth and work orientation/perceived efficacy for all women.     

FLEXIBLE MANPOWER RESOURCING: A LOCAL LABOUR MARKET SURVEY

This article presents the results of an establishment level investigation carried out late in 1986 and early in 1987 of the extent of flexible manpower resourcing in the Aberdeen local labour market. It is necessary to place these results in the context of the general background of an increasing interest in flexible manning and of certain theoretical developments in labour and industrial economics. The results suggest that whilst a variety of means are used to attain flexibility in manning, few establishments can be regarded as truly ‘flexible firms’ and manpower strategies tend to be largely reactive and ad hoc.     

Polyhedral Combinatorics in Combinatorial Optimization

Polyhedral combinatorics is a subarea of combinatorial optimization of increasing practical importance. It deals with the application of the theory of linear systems and linear algebra to combinatorial problems. The paper is not intended as a survey on polyhedral combinatorics but it reviews some of the main concepts and proof techniques.     

Cost and technical change: Effects from bank deregulation

Banks were substantially deregulated during the 1980s. This altered the cost-minimizing mix between deposit interest payments and operating expenses (capital and labor for branch convenience and free deposit services). Measured bank output was relatively unaffected by these changes. The proportion of deposits receiving higher interest rates increased more rapidly than factor quantities were reduced, so unit deposit costs rose. Consumers benefited, but the measured net effects for banks were negative, averaging –0.8% to –1.4% a year in net technical change from 1977 to 1988. These influences were measured three different ways and for both equilibrium and disequilibrium factor input specifications. All three approaches—a standard time trend, a time-specific index, and shifts in cross-sectional cost functions—gave consistent results. The results were robust whether measured at the banking firm or branch office level or on the cost frontier.     

Legalistic organizational responses to catastrophic illness: The effect of stigmatization on reactions to HIV/AIDS

The HIV/AIDS epidemic has focused increased attention on catastrophic illnesses in the workplace, and because of the stigmas associated with HIV/AIDS, it raises three primary concerns for organizations: (1) organizational avoidance of legal sanctions and litigation; (2) the maintenance of organizational legitimacy; and (3) organizational protection of employee rights. Although many organizations adopt legalistic responses to cope with these concerns, the analysis presented in this article suggests that while legalistic approaches function well to protect organizational interests in terms of both legal liability and legitimacy, the are only partially able to protect employee rights. Drawing upon the limited literature on HIV/AIDS in the workplace, this article presents an agenda for future research on organizational responses to HIV/AIDS.     

Distribution-free tests for comparing several treatments with a control

Abstract  In this paper we propose distribution-free treatments versus control tests for the one- and two-way classifications. The null distribution properties are shown to be equivalent to those of well-known statistics for which critical values have been extensively tabled. Asymptotic relative efficiencies with respect to corresponding normal theory competitors are derived and optimal designs for the allocation of experimental units to the treatments and control are obtained.     

Inferences about the parameters of a time series model with changing variance

Summary We consider the problem of making inferences about the parameters of a time series model when there is the possibility of a discrete variance change at an unknown time point. For this we obtain the posterior distributions of the parameters and of the variance ratio.     

Are robust estimation methods useful in the structural errors-in-variables model?

Summary In this paper it is investigated whether robust estimation procedures for the parameters of a regression model are also applicable when the observations are generated by the errors-in-variables model. Specifically, attention is paid to bounded-influence estimators, i.e. estimators that are constructed in such a way that the influence of a single observation on the outcome of the estimator is bounded. Both the classical errors-in-variables model and models with contaminated observational errors are considered.The authors are indebted to a referee for his valuable comments on an earlier version of this paper.     

The occurrence of outliers in the explanatory variable considered in an errors-in-variables framework

Summary The problem of estimating the slope of a linear relationship between two jointly normally distributed random variables is considered when outliers may occur in the explanatory variable. It will be studied as a special case of an errors-in-variables problem where the explanatory variable is measured which a nonnormally distributed error. In this more general model and under certain conditions a consistent estimator can be given with a normal limiting distribution. Applications to cases of outliers in the explanatory variable will be presented.