Experimental determination of the power functions of the two-sample rank tests of WILCOXON, VAN DER WAERDEN and TERRY by Monte Carlo techniques

In this paper the authors present the results of a sampling experiment to determine the power functions of the two-sample rank tests of WILCOXON, VAN DER WAERDEN and TERRY against shift alternatives for normal parent distributions, based on 2000 trials for each alternative. The sample sizes considered are m = n = 6 and m = n = 10. The powers of the three rank tests are compared with the power of the STUDENT t-test and with each other. The results indicate that in small samples (i) the power of the WILCOXON test is not much smaller than the power of the t-test and (ii) the normal scores tests are only slightly superior to the WILCOXON test, if at all.     

Matchmaking in organizational change: Does every employee value participatory leadership? An empirical study

Although leadership is generally considered an important lever to increase commitment during organizational change, empirical research has yet to unravel many of the underlying mechanisms. In this paper, we propose that the impact of participative leadership on affective commitment to change will be contingent on employees’ orientation toward leadership. In our empirical study in two police organizations, we find evidence that followers’ orientation toward leadership is a useful interacting variable. Participative leadership lowers affective commitment to change for individuals with high dominance orientation. In contrast, participative leadership increases affective commitment to change for employees with high development orientation toward leadership. Implications for theory and practice are discussed.     

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.     

Who's the Boss at the Top? A Micro‐Level Analysis of Director Expertise,Status and Conformity Within Boards

In this paper we address how director expertise impacts a director's social status and conformity within the board. Our results, derived from two unique multi‐source datasets of peer ratings on director status and conformity of non‐executive directors from Dutch organizations, indicate that industry‐specific expertise and financial expertise differently impact directors’ social status and influence within the board. We find that directors’ individual performance orientation – the motivation to demonstrate expertise – acts as an important contingency for expertise to increase directors’ status within the board. Additional analyses using archival data and interviews with non‐executive directors substantiate our findings and provide additional insight into the dynamics operating within boards. This study extends existing research on boards of directors and provides unique micro‐level insights into the boardroom dynamics that connect director expertise to director status and conformity within boards.     

Bias in estimation from type I censored samples

Summary
Let be a family of probability distributions on R¹. This paper raises the question whether a parameter θ=θ (P), Pt, is estimable on the basis of a type I censored sample (i.e. censored on a fixed set C). Two theorems are given that state conditions on θ and C that ensure that θ is not estimable. The results are applied to estimation problems for the normal and POISSON distributions; it turns out that unbiased estimation is impossible in the majority of practical cases.