Managerial Delegation under Alternative Unionization Structures

This paper studies the effects of managerial delegation in a duopoly game under alternative unionization structures. Introducing managerial delegation in a framework with centralized unionization leads to incentives for sales, lower profits and higher consumer surplus as well as overall welfare. In contrast, delegating output decisions to managers in the presence of decentralized unionization produces opposite results unless unions are strongly employment‐oriented. Moreover, managerial delegation makes unionization structure neutral in relation to consumer surplus and overall efficiency. Finally, the timing of moves in the three‐stage game proves to be important for obtaining the above qualitative results under decentralized unionization.     

International and National R&D Networks in Unionized Oligopoly

We study the endogenous formation of R&D networks between two domestic and one foreign firms in a unionized oligopoly. We find that the equilibrium networks are sensitive to the extent of knowledge spillovers between networked firms. If spillovers are sufficiently low, the complete network will arise in equilibrium; however, if spillovers are sufficiently high, the foreign partial network that includes a domestic and a foreign firm will arise. Moreover, for intermediate spillovers, no equilibrium network emerges. These results have implications for aggregate outcomes: equilibrium networks are not necessarily optimal in terms of aggregate effective R&D and aggregate firm profits.     

二语习得中的母语负迁移简析

对二语习得的研究表明,母语迁移是影响第二语言习得的重要因素之一。本文通过对英汉两种语言的对比分析,从语音,词汇,语法,文化等诸多方面阐明母语迁移中的负迁移现象对二语习得的影响,并探究了在英语教学过程中如何尽量避免母语负迁移,以使二语习得者的语言能力得到有效提升。     

Two Samples Tests for Functional Data

Data in many experiments arises as curves and therefore it is natural to use a curve as a basic unit in the analysis, which is in terms of functional data analysis (FDA). Functional curves are encountered when units are observed over time. Although the whole function curve itself is not observed, a sufficiently large number of evaluations, as is common with modern recording equipment, is assumed to be available. In this article, we consider the statistical inference for the mean functions in the two samples problem drawn from functional data sets, in which we assume that functional curves are observed, that is, we consider the test if these two groups of curves have the same mean functional curve when the two groups of curves without noise are observed. The L ²-norm based and bootstrap-based test statistics are proposed. It is shown that the proposed methodology is flexible. Simulation study and real-data examples are used to illustrate our techniques.     

On Two Types of Breakdown Points of Weighted L 2-median

Zuo (2004) investigated the simplified replacement finite sample breakdown point of weighted L ^p -depth and L ^p -median for some appropriate weight functions. The addition breakdown point of weighted L ^p -depth functions is studied firstly in this article. In addition, for some other weight functions different from those in Zuo (2004 Zuo , Y. ( 2004 ). Robustness of weighted L ^p -depth and L ^p -median . Allgemeines Statistics Archiv. 88 : 215 – 234 . [Google Scholar]), we establish the lower bounds of these two types of breakdown point of weighted L ²-median.     

On L 1-consistency of kernel-type density estimator for stationary markov processes

A convergence result for kernel type density estimators, proved by Devroye and Gyrofi (1985), is extended to stationary Markov processess satisfying (G ₂-condition introduced by Rosenblatt (1970).     

Bootstrapping in least absolute value regression: an application to hypothesis testing

A Monte Carlo simulation is used to study the performance of hypothesis tests for regression coefficients when least absolute value regression methods are used. In small samples, the results of the simulation suggest that using the bootstrap method to compute standard errors will provide improved test performance     

Robust location estimation with missing data

In a missing data setting, we have a sample in which a vector of explanatory variables ${\bf x}_i$ is observed for every subject i, while scalar responses $y_i$ are missing by happenstance on some individuals. In this work we propose robust estimators of the distribution of the responses assuming missing at random (MAR) data, under a semiparametric regression model. Our approach allows the consistent estimation of any weakly continuous functional of the response's distribution. In particular, strongly consistent estimators of any continuous location functional, such as the median, L‐functionals and M‐functionals, are proposed. A robust fit for the regression model combined with the robust properties of the location functional gives rise to a robust recipe for estimating the location parameter. Robustness is quantified through the breakdown point of the proposed procedure. The asymptotic distribution of the location estimators is also derived. The proofs of the theorems are presented in Supplementary Material available online. The Canadian Journal of Statistics 41: 111–132; 2013 © 2012 Statistical Society of Canada