Subjective Performance Evaluation and Gender Discrimination

Gender discrimination continues to be a problem in organizations. It is therefore important that organizations use performance evaluation methods that ensure equal opportunities for men and women. This article reports the results of an experiment to investigate whether and, if so, how the gender of the rater and that of the ratee moderate the relationship between the level of subjectivity in performance appraisals and organizational attractiveness. Participants in the experiment were 313 undergraduate students. We predicted, and indeed established, that as the probability increases that employee performance is evaluated by a female manager, women expect more positive outcomes of subjective, but not objective evaluation processes. Our data did not support our expectation that as the probability of being evaluated by a female manager increases, men expect less positive outcomes of subjective evaluation processes. The findings of this study contribute to our understanding of why women are over-represented in jobs with objective formula-based reward systems, such as piece-rate systems. They are also of interest to organizations that are looking for more ethical human resource management practices.     

A NOTE ON THE TRIMMED MEAN MEASURE OF CORE INFLATION IN SOUTH AFRICA

This paper constructs and analyses the properties of a trimmed mean inflation rate for South Africa. Based on an analysis of the distributions of the consumer price index component price changes, a measure is constructed that provides an estimator of core inflation, which may be particularly useful to policymakers in an inflation‐targeting environment. The trimmed mean estimator focuses on the price movements of individual components that have a strong bearing on the current and future trend of the headline inflation rate, allowing monetary policy to be directed at the persistent or underlying sources of inflationary pressures.     

The Role of Alliance Network Redundancy in the Creation of Core and Non-core Technologies

This paper studies the effect of a focal firm, and its partners' local alliance actions, on the creation of technological innovations by the former. More specifically, we study how two types of redundancy in a focal firm's ego network affect its ability to create new technologies in its technology core areas (exploitation) and/or non-core areas (exploration). We analyse this empirically in three different industry settings: chemicals, motor vehicles, and pharmaceuticals. One of our key findings is that individual firms can indeed boost both types of innovative output by shaping the degree of redundancy in their local alliance network, but that the way in which this should be done differs between the creation of core and non-core technologies. Next, we find that it is very useful to unpack the rather abstract notion of redundancy into more specific types of redundancy in ego networks. Overall, these findings reflect an action-oriented view on the role of individual firms in collaborative networks, which may complement the dominant view in the alliance literature emphasizing the role of the overall network structure and firms' network position within it.     

Conditional value-at-risk: Aspects of modeling and estimation

This paper considers flexible conditional (regression) measures of market risk. Value-at-Risk modeling is cast in terms of the quantile regression function – the inverse of the conditional distribution function. A basic specification analysis relates its functional forms to the benchmark models of returns and asset pricing. We stress important aspects of measuring the extremal and intermediate conditional risk. An empirical application characterizes the key economic determinants of various levels of conditional risk. Received: September 30, 1999/Revised version: November 20, 2000     

Foreign Language Learning and Trade

The paper is devoted to an econometric analysis of learning foreign languages in all parts of the world. Our sample covers 193 countries and 13 important languages. Four factors significantly explain learning: world population of speakers of home language, trade with speakers of foreign language, linguistic distance between home and foreign language and literacy. Trade may well deserve more emphasis than the other three factors, not only for its significance, but also because its direction can change faster and by a larger order of magnitude. Controlling for any of the 13 target languages, including English, is of no particular importance.