A robust and efficient estimation method for nonparametric models with jump points

Nonparametric models with jump points have been considered by many researchers. However, most existing methods based on least squares or likelihood are sensitive when there are outliers or the error distribution is heavy tailed. In this article, a local piecewise-modal method is proposed to estimate the regression function with jump points in nonparametric models, and a piecewise-modal EM algorithm is introduced to estimate the proposed estimator. Under some regular conditions, the large-sample theory is established for the proposed estimators. Several simulations are presented to evaluate the performances of the proposed method, which shows that the proposed estimator is more efficient than the local piecewise-polynomial regression estimator in the presence of outliers or heavy tail error distribution. What is more, the proposed procedure is asymptotically equivalent to the local piecewise-polynomial regression estimator under the assumption that the error distribution is a Gaussian distribution. The proposed method is further illustrated via the sea-level pressures.     

农民社会阶层越高越幸福吗?——基于CGSS 2010-2015年数据的微观分析

针对农民社会阶层与幸福感问题，通过分析2010-2015年“中国综合社会调查”数据，采用有序响应Logit模型估计，实证检验了农民社会阶层定位的幸福效应。研究发现，农民社会阶层定位存在幸福效应，社会阶层定位越高的农民，其幸福感越强；进一步区域比较发现，此幸福效应在经济发达地区最为显著；而户籍比较发现，农民社会阶层定位的幸福效应低于城镇居民；但从发展趋势来看，农民社会阶层定位的幸福效应较10年前有所增强，且农民对社会阶层定位有较为乐观的预期。据此提出，民生建设中重视农民的发展诉求和精神需求，融通农民社会阶层上升的渠道，从而提高农民幸福感，保障农民公平共享社会发展的成果。     

Organizational identification as a mediator for the effects of psychological contract breaches on organizational citizenship behavior: Insights from the perspective of ethnic minority employees

This study examines the contribution of the psychological contract (PC) framework to the understanding of ethnic minority employees’ employment relationships. First, it tests the generalizability of PC types (transactional, relational, and balanced) observed in the general population to ethnic minority employees. Then, to further address the unique needs and motivators of minority employees, this study considers diversity-related PCs. It adopts social exchange theory to explain how transactional, relational, balanced, and diversity-related PC breaches predict organizational citizenship behavior (OCB). Moreover, it draws insights from social identity theory and examines the mediating role of organizational identification in the relationship between types of PC breach and OCB. Data from 361 Turkish employees working as ethnic minorities in Belgium indicate that relational and diversity-related PC breaches predict OCB partially via organizational identification while transactional and balanced PC breaches directly affect OCB.     

A class of partially linear transformation models for recurrent gap times

In this article, we propose a general class of partially linear transformation models for recurrent gap time data, which extends the linear transformation models by incorporating non linear covariate effects and includes the partially linear proportional hazards and the partially linear proportional odds models as special cases. Both global and local estimating equations are developed to estimate the parametric and non parametric covariate effects, and the asymptotic properties of the resulting estimators are established. The finite-sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a clinic study on chronic granulomatous disease is provided.     

Promoting sustainable development through civil society: A case study of the EU’s NSA/LA thematic programme in Kyrgyzstan

The article focuses on the contribution of the European Union (EU) in promoting sustainable development through the involvement of civil society in partner countries. More specifically, it analyses the main features and outcomes of the projects implemented by civil society organizations (CSOs) in Kyrgyzstan under the EU thematic programme Non‐State Actors and Local Authorities in Development (NSA/LA). Despite its importance—this is the only EU programme providing direct support to non‐state actors and local authorities engaged in poverty reduction—to date, there has been very little research on the functioning of this instrument on the ground. This article seeks to fill this gap in the literature by examining the EU’s contribution to sustainable development through a case study on Kyrgyzstan. The study is based on primary data: 10 semi‐structured interviews conducted with the EU‐funded organizations implementing the NSA/LA programme. The NSA/LA projects were analysed by considering two major fields of engagement of non‐state actors in the development process: as service providers and as advocates (Banks & Hulme, 2012). Overall, the organizations awarded EU support were not only focused on fulfilling short‐term needs but also sought to introduce new ways of dealing with poverty and inequality, positioning themselves between the “Big‐D” and the “little‐d” approaches to development (Bebbington, Hickey, & Mitlin, 2008). Nonetheless, the EU‐funded projects were too limited and fragmented to be able to sustain long‐term structural change. Therefore, the EU should place new emphasis on creating synergies between new and old structures at the grassroots level and establishing mechanisms and bodies that could merge and co‐ordinate their efforts. In addition, the calls for proposals could highlight the need to share the lessons learnt by “obliging” the beneficiaries to act as multipliers and to pass on their positive experience to neighbouring communities. Finally, the EU could stimulate the funded organizations to experiment with innovative mechanisms of involvement in the policy‐making process, by making this aspect a mandatory requirement of the projects implemented with its support.     

基于SAO语义分析的潜在技术合作伙伴识别

将SAO语义结构信息引入技术伙伴识别选择过程中，构建基于SAO语义分析的技术合作伙伴识别体系，通过对企业进行技术愿景分析、企业知识库分析确定技术合作网络，对网络内企业重点子技术领域进行相似度分析，从而识别企业潜在的技术合作伙伴，并制定针对性的合作方案。以染敏太阳能电池为案例开展实证研究，验证了该方法体系的可行性。     

曹学佺《蜀中名胜记》辨误

明人曹学佺编撰的《蜀中名胜记》保存了大量巴蜀文献,但由于编撰时间仓促,他对于一些材料的审核不够精细,故书中存在一些讹误之处。本文就其中四则比较典型的讹误辨正于此:卷八误将崔公辅诗句为李渭作,卷十五误以岑参嵩阳南溪别业为叙州南溪县别业,卷十七误以为白居易诗《涂山寺独游》中的"涂山寺"在巴县涂山,卷二十九误以李峤父李镇恶梓州事迹为苏味道父苏荣事迹。     

Dimension reduction via local rank regression

Outer product of gradients (OPG) achieves dimension reduction via estimating the gradients of the regression function. In this paper, we propose two novel OPG estimators via local rank regression: the rank OPG estimator and the Walsh-average OPG estimator. Both proposals guard against a wide range of error distributions, and are safe alternatives to existing OPG estimators based on local linear regression or local L1 regression. The effectiveness of the new proposals are demonstrated via extensive numerical studies.     

情境植入视角下第三人称指称形式的所指定位

由于第三人称不是言语交际的直接参与者,其指称形式的所指定位存在诸多复杂的情况。基于Langacker的情境植入理论,分析探讨英汉日常语言中第三人称指称形式所指定位的认知规律。研究发现,英汉日常语言中第三人称指称形式的所指会在形态、语义及范畴层次等方面发生变化,其具体定位需通过话语参与者共建话语框架并进行认知加工才能得以完成。     

Graphical and Numerical Methods for Detecting Influential Observations in Complex Bingham Data

We describe methods to detect influential observations in a sample of pre-shapes when the underlying distribution is assumed to be complex Bingham. One of these methods is based on Cook's distance, which is derived from the likelihood of the complex Bingham distribution. Other method is related to the tangent space, which is based on the local influence for the multivariate normal distribution. A method to detect outliers is also explained. The application of the methods is illustrated in both a real dataset and a simulated sample.