关系视角下工作绩效如何影响领导辱虐行为——一个有调节的中介模型

既有研究发现员工工作绩效可以作为前因变量预测领导辱虐行为,但基于不同视角,二者的相关关系存在正相关和负相关两种不同结果.本文从关系视角出发,引入中介机制和调节变量,验证了二者之间存在的负相关关系及其作用机制.通过对来自中国内地两家民营企业的65名领导与284名下属前后两次(间隔一个月)配对调研发现,在控制了时间点2的员工工作绩效基础上,时间点1的员工工作绩效通过提高时间点2的领导-成员交换关系进而降低了时间点2领导辱虐行为发生可能性,上述整个间接效应受到时间点2领导者下向信任的正向调节作用.文章讨论了该研究的理论与实践意义,最后分析了研究局限和未来研究方向.     

GARCH族的模型平均估计方法

研究目标：对模型平均方法进行理论扩展,构建GARCH族的模型平均估计量及相应权重选择准则。研究方法：蒙特卡洛模拟实验方法。研究发现：在一定条件下最小化权重准则选择的权重向量将在渐近意义上最小化真实KL偏离度;蒙特卡洛模拟结果表明,与AIC准则、BIC准则、AIC模型平均、BIC模型平均的估计结果相比较,本文提出的模型平均法具有更小的KL偏离度。研究创新：将模型平均估计方法引入条件异方差模型族中。研究价值：本文结果将为捕捉金融市场资产的时变波动性提供强有力的研究工具。     

短波选频和选址呼叫技术的研究与实践

本文从短波模拟话音通信的实际情况出发,讨论了短波无中心组网中,实时选频和数字选址技术.提出了以绝对值信噪比(ASNR)代替常用信噪比进行信道评判的实时选频方案,和以双门限连续判决器及简易纠错码-(7,4)循环码的软件编译码,作为数字选址呼叫信可靠传输、识别手段的数字选址呼叫方案,并通过了实验验证.     

Differential Impacts of Structural and Cyclical Unemployment on Mortgage Default and Prepayment

The Great Recession (the fourth quarter of 2007 through the second quarter of 2009) has been characterized by high rates of foreclosures and unemployment. Using a sample of community reinvestment loans, we examine the impact of structural unemployment and cyclical unemployment on mortgage terminations (default and prepayment). We find that mortgage default and prepayment are more sensitive to changes in the structural component of the local unemployment rate than in the cyclical component. In addition, depending on whether structural unemployment rates are high or low, borrowers and lenders react differently to the incentives to terminate a loan.     

风险资产配置与货币政策规则——黏性价格均衡下的宏观资产配置模型初探

本文将一个基于动态新凯恩斯理论的连续时间黏性价格一般均衡模型与随机动态资产配置模型相结合,进而研究基于内生宏观经济动态和货币政策规则进行资产配置的问题。在最优配置策略下,投资者相对风险偏好随无风险名义利率的增大而单调减小,而随通胀率的变化呈“U”型,说明投资者在通胀偏离稳态幅度较大时配置风险资产的相对意愿较高。此外,本文也给出了使用该模型讨论投资者最大化跨期效用对经济反作用这一宏观审慎问题的方式。     

接轨站施工工程重要度评价体系研究

高铁与既有线接轨站施工项目中单体工程众多,对这些单体工程的重要度进行评价有助于施工资源的合理配置.通过分析接轨站施工项目的内在特点,总结了评价指标选取的原则,利用经过层次分析法改进的熵值法作为指标权重的确定算法,进而建立了接轨站施工工程重要度评价体系.以连云港站站改的一个子项目作为实例进行分析,并对其中的5个单体工程重要度进行评价.     

“90后”大学生人文素养提升管理机制初探

近年来,各大高校都在积极创建高水平大学。学生是学校的核心,高水平大学离不开高素养的大学生的支撑。本文通过分析"90后"大学生的特征,对大学生人文素养提升管理机制进行了探索。     

XBRL’s impact on analyst forecast behavior: An empirical study

This paper investigates the benefits of mandatory adoption of the eXtensible Business Reporting Language (XBRL) in the U.S. Using a sample of Phase I and Phase II filers in year 2009 and 2010, we examine whether there exists a positive association between the number of analysts following a firm as well as analyst forecast accuracy and the XBRL mandate by the Securities and Exchange Commission (SEC). Our empirical results demonstrate a significant positive association between mandatory XBRL adoption and both analyst following and forecast accuracy. In addition, our findings show that such an association is stronger for Phase I filers than for Phase II filers in 2010. The magnitude of the association between XBRL mandate and analyst following is also larger for Phase I filers in year two than in year one of adoption. Our findings not only support the SEC’s requirement of detailed tagging of footnotes but also show that the benefits of adopting XBRL are realized regardless of errors found and concerns raised at the early stage of adoption.     

Internal Migration Decision and Rural Income Inequality: A Counterfactual-Based Gini Decomposition Analysis

We examine the decision between internal migration and home production for Chinese rural households and its impact on rural income distribution. By constructing counterfactual scenarios under which households are allowed to switch freely between internal migration and home production, we find that the migrant households in the studied region could have earned higher simulated income if they choose to work in local sectors, with potential sample selection bias corrected by the two-step Heckit method. Based on the counterfactual results, we conduct a Gini decomposition analysis and illustrate that rural income inequality would also be reduced if migrants choose to work locally. The findings are compatible with the fact that a nontrivial portion of the internal migration in China tends to be involuntary.     

A Stackelberg model of pricing of complementary goods under information asymmetry

We consider a duopoly market where two separate firms offer complementary goods in a leader–follower type move. Each firm has private forecast information about the uncertain market demand and decides whether to share it with the other firm. We show that information sharing would benefit the leader firm but hurt the follower firm as well as the total system if the follower firm shares information unconditionally. We then devise a “simple to implement” information sharing scheme under which both firms and the total system are better off. We also provide several interesting managerial insights and establish the robustness of the model in managing a supply chain through our analytical and simulation results.