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.     

Effects of demographic,experiential, and attitudinal factors on occupational sex stereotypes

The purpose of this study was to (a) compare the occupational sex stereotypes of 366 college students with those reported by Shinar in 1975, and (b) examine the relationships between demographic, experiential, and attitudinal variables and these occupational sex stereotypes. The results indicated a significant difference in occupational ratings from Shinar's study, with females' perceptions shifting more than males' perceptions. In addition, subjects' gender, tenure with female managers, and attitudes toward women as managers, were shown to be significant predictors of occuptational ratings. The implications of these findings for both employees and managers are then discussed.     

On the individual moving average inequality

Summary A very simple deduction of a recently treated inequality is presented and some variations on this proof, drawing together various properties, are discussed. Closure of moving average processes undermultiplication is also mentioned.     

Probenahme vom Band

Ohne Zusammenfassung     

Nonparametric tests for optimizing behavior in production: Extensions to unobservable factors and superadditive technology

This paper develops two new nonparametric tests for optimizing behavior in production. The first is a test for consistency of observed data with cost minimization from a superadditive technology. Superadditivity of technology plays a key role in the theory of industry structure and natural monopoly. The second is an extension of Varian's profit maximization test. When the data fails Varian's test, one possible explanation is technical/allocative inefficiency. However, another possibility is the presence of unobservable, untradeable, and varying endowments of some factor of production. This paper develops a test that allows for such an ordinally measurable factor and notes its correspondence to the Afriat Theorem for utility maximization in demand analysis.The refereeing process of this paper was handled through R. Banker.