Was Cicourel’s critique in Methods and Measurement in Sociology too radical?

This article is a contribution to a mini symposium on the 50th anniversary of the publication of A V Cicourel’s Method and Measurement in Sociology (1964). The central theme of the book is reviewed – the problem of the relationship between everyday language and cultural meanings, and the language of measurement in social research – and the lack of an adequate ontology of social actors is identified as being the cause of the problem. The solution offered by Alfred Schütz – that social scientific language should be derived from everyday language – is discussed and it is argued that this was probably too radical at the time the book was published, and is still generally neglected in the social sciences.     

后金融危机时期完善公允价值计量的探索

在2008年的金融风暴中,公允价值计量虽然暴露出其固有缺陷,但目前仍不失为一种面对市场的、动态反映产权价值运动的最佳计量模式。在后金融危机时期,我们需要通过建立健全市场机制、降低公允价值计量的实际操作难度、完善估值技术等手段进一步修改与完善公允价值计量模式,助推经济复苏与调整。     

Mean shift and influence measures in linear measurement error models with stochastic linear restrictions

We present influence diagnostics for linear measurement error models with stochastic linear restrictions using the corrected likelihood of Nakamura in 1990. The case deletion and mean shift outlier models are developed to identify outlying and influential observations. We derive a corrected score test statistic for outlier detection based on mean shift outlier models. The analogs of Cook's distance and likelihood distance are proposed to determine influential observations based on case deletion models. A parametric bootstrap procedure is used to obtain empirical distributions of the test statistics and a simulation study has been used to evaluate the performance of the proposed estimators based on the mean squares error criterion and the score test statistic. Finally, a numerical example is given to illustrate the theoretical results.     

Statistical measurement of the inventory shortage cost

In searching for the optimal inventory control policy, the objective is to minimize the expected total costs related, of which the shortage cost is an important element. Due to the difficulty in calculating the indirect cost of the loss of goodwill resulted from the shortage, practitioners and researchers often simply assume a fixed penalty cost on the inventory shortage or switch to the alternative method by assigning a specific customer service level. The development of an appropriate tool for measuring the shortage cost can help a business control the total costs and improve the productivity more effectively. This paper proposes probabilistic measurements of the shortage cost, based on mathematical relationship between the cost and the shortage amount. The derived closed-form estimates of the expected shortage cost value can then be applied to support the determination of the optimal inventory control policy.     

Who Is the Residential Parent? Understanding Discrepancies in Unmarried Parents' Reports

Research examining parental reports of children's living arrangements has often relied on information about legally ordered custody agreements following divorce. This analysis used data from matched pairs of parents (N = 1,156) in the Fragile Families and Child Wellbeing Study who live apart to compare mother and father reports of their child's residence 5 years after a nonmarital birth. The authors found that over one third of unmarried parents disagreed about who their child lived with and that conflicting reports were much more likely when fathers spent nights with the mother (an indicator of part‐time cohabitation) and had overnights with the child on their own. The results further suggest that discrepancies in unmarried parents' reports were more closely associated with the complexity and ambiguity of their living situations than with the quality of their relationships with each other. Implications for measuring children's living arrangements in families formed outside of marriage are discussed.     

Understanding and Measuring LGBTQ Pathways to Health: A Scoping Review of Strengths-Based Health Promotion Approaches in LGBTQ Health Research

Health research traditionally has focused on the health risks and deficits of lesbian, gay, bisexual, transgender, and queer (LGBTQ) populations, obscuring the determinants that can promote health across the life course. Recognizing, appropriately measuring, and rendering visible these determinants of health is paramount to informing appropriate and engaging health policies, services, and systems for LGBTQ populations. The overarching purpose of this article is to provide an overview of the findings of a scoping review aimed at exploring strengths-based health promotion approaches to understanding and measuring LGBTQ health. Specifically, this scoping review examined peer-reviewed, published academic literature to determine (a) existing methodological frameworks for studying LGBTQ health from a strengths-based health promotion approach, and (b) suggestions for future methodological approaches for studying LGBTQ health from a strengths-based health promotion approach. The findings of this scoping review will be used to inform the development of a study aimed at assessing the health of and improving pathways to health services among LGBTQ populations in Nova Scotia, Canada.     

大都市服务经济发展的劳动力因素——基于从业人口数据模型的分析

本文在对比分析纽约、东京两个国外大都市服务经济发展的一般规律和劳动力变动特征基础上，以服务业从业人口结构和规模的历史数据作为切入点，对比分析上海服务业的发展状况，指出上海与纽约、东京服务经济发展的差距及存在的主要问题。并进一步构建了基于从业人口数据回归分析的服务经济发展预测模型，运用该模型对上海市未来服务经济从业人口的比重进行预测．分析表明上海的服务业发展正处于加速增长期，并仍将保持快速发展的势头，按此速度到2020年其从业人数比重可达80％；要实现上海服务经济的健康、快速发展应采取积极的人才引进战略和人口政策。     

西部开发、劳动力流动与少数民族教育

为了推动西部大发展 ,我国政府开始实施西部大开发战略 ,各种体制改革不断深化 ,地区劳动力流动更为频繁。处在这一背景下的西部各民族特别是少数民族面临着严峻的就业挑战。本文分析了西部劳动力的结构、就业特点 ,希望能通过具体的教育措施提高少数民族劳动力的竞争能力 ,为保持西部地区繁荣、稳定做出贡献。     

Modal non‐linear regression in the presence of Laplace measurement error

In this paper, we propose a robust estimation procedure for a class of non‐linear regression models when the covariates are contaminated with Laplace measurement error, aiming at constructing an estimation procedure for the regression parameters which are less affected by the possible outliers, and heavy‐tailed underlying distribution, as well as reducing the bias introduced by the measurement error. Starting with the modal regression procedure developed for the measurement error‐free case, a non‐trivial modification is made so that the modified version can effectively correct the potential bias caused by measurement error. Large sample properties of the proposed estimate, such as the convergence rate and the asymptotic normality, are thoroughly investigated. A simulation study and real data application are conducted to illustrate the satisfying finite sample performance of the proposed estimation procedure.     

新型订单农业合作模式的优化模型分析

根据当前的中央脱贫政策,本文考虑到脱贫方式,提出了基于新型合作模式的订单农业方式,构建了新型订单农业优化模型。首先根据区域经济发展需要成立一个农业合作社,农户以土地面积比例入股,合作社通过与农产品收购公司谈判并签订收购合同来获得收益,并把收益的一部分用于农户分红。合作社聘用职业经理负责经营,除此之外,合作社还会按所入股份给农户提供一份固定费用以保证农户的收益。根据上述内容构建了一个新的"农户+合作社+收购公司"型三级新型订单农业供应链优化模型,并在条件风险（CVaR）度量准则下得出合作社在不同风险规避度下的具体收益,在保证农户和合作社收益的前提下,建立相应的约束优化模型,利用拉格朗日函数及其相应的KKT条件得出农户加入合作社可获得更多利益的最小土地面积和合作社应提供的最小固定费用。