Effets des conceptions de l'erreur,de la motivation à apprendre et du soutien social sur l'intention de transférer les nouveaux apprentissages : un modèle de médiation modérée

This study aims to assess whether trainees' errors orientation can influence their motivation to learn and their intention to transfer learning. Data were collected from 275 trainees participating in a corporate training program offered by a Canadian government agency. Results show that the concept of learning by error positively influences trainees' levels of motivation and their intention to transfer learning. Results also confirm the mediating role motivation plays between the concept of learning by error and the intention of transferring learning. Finally, results confirm the moderating role of social support on the relationship between motivation to learn and the intention to transfer learning. Practical and theoretical implications of these results are discussed. Copyright © 2017 ASAC. Published by John Wiley & Sons, Ltd.     

BALANCED VARIABLE ADDITION IN LINEAR MODELS

This paper studies what happens when we move from a short regression to a long regression in a setting where both regressions are subject to misspecification. In this setup, the least‐squares estimator in the long regression may have larger inconsistency than the least‐squares estimator in the short regression. We provide a simple interpretation for the comparison of the inconsistencies and study under which conditions the additional regressors in the long regression represent a “balanced addition” to the short regression.     

Dynamic price discovery in Chinese agricultural futures markets

Research has not fully explored how Chinese agricultural futures markets perform their price discovery function over time. Our paper examines the role of Chinese agricultural futures markets in the price discovery process based on three well-established measurements of average price discovery contribution, and more importantly, the dynamic price discovery measurement. Using daily futures and spot prices from fourteen agricultural commodities, we find eleven contracts are efficient in price discovery. Besides, market-oriented changes in policies strengthen the price discovery performance of most futures markets, except for commodities that rely heavily on imports from other countries. Our results also suggest that trading activity is particularly important in determining whether thinly traded contracts are efficient in price discovery. Our paper provides a comprehensive judgment involving both average and dynamic price discovery contribution measurements on assessing the efficiency of Chinese agricultural futures markets. Our results might also serve as a reminder that market-oriented reforms in the spot markets of commodities might be useful to intensify the pricing power of the futures markets.     

十堰某扶贫产业园高填方边坡整体与局部稳定性分析

以十堰某扶贫产业园挖山填沟工程形成的高填方边坡为背景,基于Geo-Studio软件的SLOPE/W模块,对边坡进行稳定性计算,确定其最危险滑面.此外,对于局部小边坡分别考虑天然、饱和以及地震作用不同工况下的稳定系数,给出不同计算工况对边坡稳定性的一般影响规律.稳定性分析结果表明,滑体一般沿着土和岩体接触面滑动;此外,考虑水和地震作用的边坡稳定性会明显降低.     

Bank Leverage Limits and Regulatory Arbitrage: Old Question-New Evidence

Banks are regulated more than most firms, making them good subjects to study regulatory arbitrage (avoidance). Their latest arbitrage opportunity may be the new leverage rule covering the largest U.S. banks; leverage rules require equal capital against assets with unequal risks, so banks can effectively relax the leverage constraint by increasing asset risk. Consistent with that conjecture, we find that banks covered by the new rule shifted to riskier, higher yielding securities relative to control banks. The shift began almost precisely when the rule was finalized in 2014, well before it took effect in 2018. Security level analysis suggests banks actively added riskier securities, rather than merely shedding safer ones. Despite the risk shifting, overall bank risk did not increase, evidently because the banks most constrained by the new leverage rule significantly increased leverage capital ratios.     

Voluntary Adopters of Integrated Reporting – Evidence on Forecast Accuracy and Firm Value

This study investigates how integrated reporting (IR) creates value for investors. It examines how providers of financial capital benefit from an improved firm information environment provided by IR. Specifically, this study investigates the effect of voluntary IR disclosure on analyst earnings forecast accuracy as well as on firm value. To do so, we use an international sample of 167 listed companies that voluntarily publish an integrated report. Our analysis shows no significant effect of a voluntary IR publication on analyst earnings forecast accuracy and no significant effect on firm value. We thus do not find evidence for the fulfillment of IR's promises regarding improved information environment and value creation of voluntary adopters. We conclude that such companies might already have a relatively high level of transparency leading to an absent additional effect of IR disclosure. Positive effects of IR appear to be more relevant in environments where IR is mandatory.     

On the Lp error of the Grenander-type estimator in the Cox model

We consider the Cox regression model and study the asymptotic global behavior of the Grenander-type estimator for a monotone baseline hazard function. This model is not included in the general setting of Durot (2007). However, we show that a similar central limit theorem holds for L_p-error of the Grenander-type estimator. As an illustration of application of our main result, we propose a test procedure for a Weibull baseline distribution, based on the L_p-distance between the Grenander estimator and a parametric estimator of the baseline hazard. Simulation studies are performed to investigate the performance of this test.     

FSK避障雷达的APFFT测距及误差补偿

由于频移键控(Frequency-Shift Keying,FSK)体制避障雷达在动目标分辨与测量上的明显优势，基于FSK体制避障雷达系统的基本原理和结构，通过Matlab建立了测量系统与信号模型，使用全相位快速傅里叶变换（All-phase Fast Fourier Transformation，APFFT)算法进行了相关测量仿真和测量参数计算。通过对不同条件下的仿真结果分析，得出了测量结果误差产生的原因，并提出了相应的误差补偿方法，大大降低了测量误差，使得相对误差降低至0.1%以下。另外，还对多目标的分辨与测量进行了仿真。     

Small Area Quantile Estimation

Sample surveys are widely used to obtain information about totals, means, medians and other parameters of finite populations. In many applications, similar information is desired for subpopulations such as individuals in specific geographic areas and socio‐demographic groups. When the surveys are conducted at national or similarly high levels, a probability sampling can result in just a few sampling units from many unplanned subpopulations at the design stage. Cost considerations may also lead to low sample sizes from individual small areas. Estimating the parameters of these subpopulations with satisfactory precision and evaluating their accuracy are serious challenges for statisticians. To overcome the difficulties, statisticians resort to pooling information across the small areas via suitable model assumptions, administrative archives and census data. In this paper, we develop an array of small area quantile estimators. The novelty is the introduction of a semiparametric density ratio model for the error distribution in the unit‐level nested error regression model. In contrast, the existing methods are usually most effective when the response values are jointly normal. We also propose a resampling procedure for estimating the mean square errors of these estimators. Simulation results indicate that the new methods have superior performance when the population distributions are skewed and remain competitive otherwise.