Justice in preferential hiring

This paper reports studies designed to examine perceptions of preferential selection. Subjects evaluated the fairness of hypothetical cases of selection decisions based on either candidate sex or ethnic origin. A within-subjects design and a between-subjects design yielded convergent results showing that (1) preferential selection was perceived as unfair, irrespective of respondent sex or the basis for the preferential treatment (i.e., candidate sex or ethnic origin), (2) the level of perceived injustice was directly related to the discrepancy in merits between the successful minority candidate and the more qualified yet unsuccessful majority candidate, and (3) the provision of either an ethical or legislative justification for the selection decisions further exacerbated feelings of injustice. Possible interpretations for the findings and practical implications of the study were then discussed. M. S. Singer is a senior lecturer in psychology at Canterbury University. Her published work includes papers in Personnel Psychology, Journal of Applied Psychology, Current Psychology: Research and Reviews,and Applied Psychology: An International Review. A. E. Singer is a senior lecturer in strategic management and business ethics at Canterbury University. He has published various papers in academic journals including Omega: The International Journal of Management Science, Decision Sciences, International Journal of Forecasting, International Journal of Research in Marketing,and Journal of Business Ethics.     

Team up to meet child-care needs

Recognizing the importance of child care is not the same as providing it. The options for many employees are limited, but some employers are trying to assist employees with their child-care needs. One option that benefits many small to medium-sized companies is a child-care consortium.     

A vision for excellence

One hospital integrates employee relations, customer service and commitment to quality into one successful, award-winning program. Employees at AMI Palmetto General are motivated to constantly consider the hospital's goals and strive for excellence.     

Discriminating Among Alternative Theories of the Multinational Enterprise

Recent theoretical developments have incorporated endogenous multinational firms into the general–equilibrium model of trade. One simple taxonomy separates the theory into "vertical" models, in which firms geographically separate activities by stages of production, and "horizontal" models, in which multiplant firms duplicate roughly the same activities in many countries. The authors nest a horizontal and a vertical model within a hybrid (unrestricted) "knowledge–capital model" and estimate the specifications with data on US foreign direct investment activity. In the nested econometric tests, the data sample cannot distinguish statistically between the unrestricted model and the restricted horizontal model, indicating that the latter captures virtually all of the determinants of FDI. The tests overwhelmingly reject the vertical model.     

A Stochastic Frontier Production Function with Flexible Risk Properties

This paper considers a stochastic frontier production function which has additive, heteroscedastic error structure. The model allows for negative or positive marginal production risks of inputs, as originally proposed by Just and Pope (1978). The technical efficiencies of individual firms in the sample are a function of the levels of the input variables in the stochastic frontier, in addition to the technical inefficiency effects. These are two features of the model which are not exhibited by the commonly used stochastic frontiers with multiplicative error structures.An empirical application is presented using cross-sectional data on Ethiopian peasant farmers. The null hypothesis of no technical inefficiencies of production among these farmers is accepted. Further, the flexible risk models do not fit the data on peasant farmers as well as the traditional stochastic frontier model with multiplicative error structure.     

Learning-by-doing and the sources of productivity growth: A dynamic model with application to U.S. agriculture

The significance of learning to productivity growth is formulated within a dynamic adjustment-cost framework. Explicitly treating the acquisition of knowledge as a firm-specific capital good entering the production function along with other conventional inputs, the dynamic optimization model integrates the learning-by-doing hypothesis with technical change, scale, and disequilibrium input use effects in the aggregate productivity analysis. The theoretical framework is applied to examining the dynamic components accounting for the growth of U.S. production agriculture over the 1950–82 period. The results imply a less important role for technical change and assign a substantial role to the previously unmeasured contribution of learning-by-doing to the growth of aggregate agriculture industry.The editor for this paper was Melvyn Fuss.