A theory of persistent income inequality

This paper explores the dynamics of income inequality by studying the evolution of human capital investment and neighborhood choice for a population of families. Parents affect the conditional probability distribution of their children's income through the choice of a neighborhood in which to live. Neighborhood location affects children both through local public finance of education as well as through sociological effects. These forces combine to create incentives for wealthier families to segregate themselves into economically homogeneous neighborhoods. Economic stratification combines with strong neighborhoodwide feedback effects to transmit economic status across generations, leading to persistent income inequality.     

Experimental evidence of gender effects in arbitration decisions

The study investigates arbitrator gender and arbitrator-grievant gender effects on the decisions of 146 arbitrators rendered on a hypothetical sexual harassment case. Gender was not found to have a statistically significant effect on the decisions examined. However, other characteristics of the arbitrator—level of experience and level of education—were found to influence the arbitral decision.     

A quantitative approach to stakeholder interests

In an age when the role, behaviour and performance of the firm are under greater scrutiny than ever before, it is important to pursue quantitative empirical research in the area of social auditing. Using data relating to one particular company, the various inputs and outputs attributable to the firm's different stakeholders, (shareholders, employees, consumers and the community) are examined and corresponding rates of return calculated. Considerable methodological and data problems arise and consequently the results need careful interpretation.     

A sequential selectivity model of the decisions of arbitrators

The study investigates arbitrator gender and grievant gender effects on the decisions of 146 arbitrators rendered on a hypothetical drug-testing case. The effects are estimated using a sequential selectivity model. This approach takes into account the sequential and conditional nature of arbitrators' decisions. The results indicate that arbitrators are more likely to overturn terminations when the grievant is female, and that female arbitrators are less likely to fully reinstate grievants when the termination is overturned. Other results include the finding that older arbitrators treated grievants more harshly by more often awarding only partial reinstatements. When suspensions are given, however, we find that older arbitrators award shorter suspensions than do younger arbitrators. It is also found that more experienced arbitrators awarded longer suspensions than less experienced arbitrators.     

Modeling technical progress and total factor productivity: A plant level example

Shifts in the production frontier occur because of changes in technology. A model of how a firm learns to use the new technology, or how it adapts from the first production frontier to the second, is suggested. Two different adaptation paths are embodied in a translog cost function and its attendant cost share equations. The paths are the traditional linear time trend and a learning curve. The model is estimated using establishment level data from a non-regulated industry that underwent a technological shift in the time period covered by the data. The learning curve resulted in more plausible estimates of technical progress and total factor productivity growth patterns. A significant finding is that, at the establishment level, all inputs appear to be substitutes.This paper was processed by N.R. Adam.