Construction of orthogonal factorial designs controlling interaction efficiencies

This paper employs some variants of the usual Kronecker product to construct orthogonal factorial designs controlling the interaction efficiencies. The methods suggested have a fairly wide coverage and the resulting designs involve a small number of replicates.     

Sieve Estimation of Time-Varying Panel Data Models With Latent Structures

We propose a heterogeneous time-varying panel data model with a latent group structure that allows the coefficients to vary over both individuals and time. We assume that the coefficients change smoothly over time and form different unobserved groups. When treated as smooth functions of time, the individual functional coefficients are heterogeneous across groups but homogeneous within a group. We propose a penalized-sieve-estimation-based classifier-Lasso (C-Lasso) procedure to identify the individuals’ membership and to estimate the group-specific functional coefficients in a single step. The classification exhibits the desirable property of uniform consistency. The C-Lasso estimators and their post-Lasso versions achieve the oracle property so that the group-specific functional coefficients can be estimated as well as if the individuals’ membership were known. Several extensions are discussed. Simulations demonstrate excellent finite sample performance of the approach in both classification and estimation. We apply our method to study the heterogeneous trending behavior of GDP per capita across 91 countries for the period 1960–2012 and find four latent groups.     

Continuous Time Wishart Process for Stochastic Risk

Risks are usually represented and measured by volatility–covolatility matrices. Wishart processes are models for a dynamic analysis of multivariate risk and describe the evolution of stochastic volatility–covolatility matrices, constrained to be symmetric positive definite. The autoregressive Wishart process (WAR) is the multivariate extension of the Cox, Ingersoll, Ross (CIR) process introduced for scalar stochastic volatility. As a CIR process it allows for closed-form solutions for a number of financial problems, such as term structure of T-bonds and corporate bonds, derivative pricing in a multivariate stochastic volatility model, and the structural model for credit risk. Moreover, the Wishart dynamics are very flexible and are serious competitors for less structural multivariate ARCH models.     

Influence in covariance structure analysis: with an application to confirmatory factor analysis

Influence functions are derived for the parameters in covariance structure analysis, where the parameters are estimated by minimizing a discrepancy function between the assumed covariance matrix and the sample covariance matrix. The case of confirmatory factor analysis is studied precisely with a numerical example. Comparing with a general procedure called one-step estimation, the proposed procedure has two advantages:1) computing cost is cheaper, 2) the property that arbitrary influence can be decomposed into a fi-nite number of components discussed by Tanaka and Castano-Tostado(1990) can be used for efficient computing and the characterization of a covariance structure model from the sensitivity perspective. A numerical comparison is made among the confirmatory factor analysis and some procedures of ex-ploratory factor analysis by using the decomposition mentioned above.     

关系化用工:农业规模经营的社会基础

农业规模经营是中国乡村振兴进程中的关键议题。农业规模经营在快速发展的同时也呈现出用工效益的差异,从而使一些规模农业经营主体陷入困境。采用嵌入性视角探讨农业规模经营中用工模式嵌入社会关系的逻辑及其影响。研究发现,农业规模经营陷入困境的主要原因在于市场化用工无法有效解决农业规模经营中的劳动监督问题。而将市场规则嵌入关系规则的关系化用工使得雇佣双方产生了利他倾向,进而在很大程度上调动了工人内在的劳动积极性,从而使农业规模经营主体摆脱经营失败困境。关系化用工的实现依赖于农业规模经营主体在用工选择、生产管理和日常生活中充分发挥社会关系的积极作用,但社会关系范围和程度都是有限度的。因此,农业规模经营的健康发展不仅需要处理好经济关系,而且需要处理好社会关系。     

浙江区域金融结构对产业集聚的影响研究 ——基于面板数据的实证分析

 以民营企业为基础的产业集聚群是浙江经济快速发展的重要原因。然而产业集聚的形成依赖于一定的外部环境,特别是对于资金的需求和金融结构有特殊的要求。本文通过对浙江11个市2000-2007年的面板数据,分析不同的金融结构对产业集聚的影响。并根据研究结论,提出了优化区域金融结构,促进浙江产业集聚群健康发展的对策建议。     

Copula structure analysis

Summary.  We extend the standard approach of correlation structure analysis for dimension reduction of high dimensional statistical data. The classical assumption of a linear model for the distribution of a random vector is replaced by the weaker assumption of a model for the copula. For elliptical copulas a correlation-like structure remains, but different margins and non-existence of moments are possible. After introducing the new concept and deriving some theoretical results we observe in a simulation study the performance of the estimators: the theoretical asymptotic behaviour of the statistics can be observed even for small sample sizes. Finally, we show our method at work for a financial data set and explain differences between our copula-based approach and the classical approach. Our new method yielear models also.     

民营企业社会责任意识的现状与评价

2005年下半年就民营企业社会责任问题对浙江省企业进行抽样调查,调查结果显示:在浙江省规模以上企业中,民营企业的社会责任意识并不逊于国有企业和外资企业.但是,现阶段民营企业的社会责任意识仍处于初级阶段,他们对企业法律责任的认同要高于对企业伦理责任和慈善责任的认同.同时,民营企业的社会责任行为并不出于单纯的利他动机,而是具有一定的战略意识,这种意识使企业发展与社会发展在深层次上具有内在的一致性,有利于从企业外部推进企业的社会责任实践和企业的可持续发展.     

Mapping movement landscapes in South Africa

ABSTRACT

The concept of a movement landscape is used to analyse continuities and changes in popular mobilization since the end of formal apartheid. Focusing on four different episodes of protest since 1997, the article examines their relationship to the ANC movement and traditions, and their organizational forms. It finds a general theme of fluid and ephemeral organization, and a distrust of formal hierarchal organization, that is relatively new in South Africa. The Marikana strikes produced the most far-reaching organizational realignments, while the student struggles generated the most innovative re-imaginings of political forms and discourses. It concludes that although there have been critiques of and challenges to the ANC tradition, and experiments with new forms of organizing, they have not produced alternatives that have lasted or dislodged the dominant approaches defined and popularized by the ANC movement.     

将生命还给社会:传记法作为一种总体叙事方式

在田野民族志和历史编纂学中，传记法是一种重要的叙事方式。本文从分析林耀华的作品入手，将其置于20世纪20年代以来的社会学和人类学思想脉络中，并在此基础上探讨传记法在中国历史和社会研究中的潜力与可能性。本文将谱系法、个人生命史和社会生命论归纳为“传记法三角”。在（扩展）谱系法和社会结构论的基础上，生命传记法可以呈现一个或多个人的生命历史，作为大历史中的片段。不过，现象学路径有其自身的限度，不能离开对中央政权本身和总体结构的考察。在“时势”和“社会结构”的变迁过程中呈现生命传记，才不会只是个体的故事，而有希望成为一种对中国“总体”社会生活的有力叙事方式。