An approximation of logarithmic functions in the regression setting

We consider a method of moments approach for dealing with censoring at zero for data expressed in levels when researchers would like to take logarithms. A Box–Cox transformation is employed. We explore this approach in the context of linear regression where both dependent and independent variables are censored. We contrast this method to two others, (1) dropping records of data containing censored values and (2) assuming normality for censored observations and the residuals in the model. Across the methods considered, where researchers are interested primarily in the slope parameter, estimation bias is consistently reduced using the method of moments approach.     

数字贸易测度的概念架构、指标体系和测度方法初探

数字贸易是构建“以国内大循环为主体、国内国际双循环相互促进”的新发展格局的新模式和新业态,也是各国参与国际竞争与合作的重要领域。然而,国际社会对数字贸易概念的认识还比较模糊,直接影响着数字贸易市场拓展和规则制定,数字贸易测度也成为国际贸易统计领域具有挑战性课题。本文在回顾和梳理国际社会关于数字贸易概念和测度方法既有论述的基础上,提出了数字贸易的“二元三环”概念架构,构建了测度数字贸易规模的指标体系,开发了以“实际数字交付比率”为关键的数字贸易测度法,并使用中国“两化融合”平台数据库的数据,对中国2018—2019 年数字贸易进出口总额进行了试测度。本文的研究成果对我国数字贸易测度研究以及有关部门建立数字贸易统计监测制度具有借鉴作用。     

固定效应部分线性变系数面板模型的快速有效估计

本文将最小二乘支持向量机(LSSVM) 和二次推断函数法(QIF) 相结合，为个体内具有相关结构的固定效应部分线性变系数面板模型提供了一种新的快速估计方法；在一定的正则条件下，论证了参数估计量的渐近正态性和非参数估计量的收敛速度；采用Monte Carlo模拟考察了估计方法在有限样本下的表现并将估计技术应用于现实数据分析。该方法不仅保证了估计的有效性和统计推断力，而且程序运行速度得到较大幅度提升。     

基于fused惩罚的稀疏主成分分析

本文旨在研究基于fused惩罚的稀疏主成分分析方法，以适用于相邻变量之间高度相关甚至完全相等的数据情形。首先，从回归分析角度出发，提出一种求解稀疏主成分的简便思路，给出一种广义的稀疏主成分模型—— GSPCA模型及其求解算法，并证明在惩罚函数取1-范数时，该模型与现有的稀疏主成分模型——SPC模型的求解结果一致。其次，本文提出将fused惩罚与主成分分析相结合，得到一种fused稀疏主成分分析方法，并从惩罚性矩阵分解和回归分析两个角度，给出两种模型形式。在理论上证明了两种模型的求解结果是一致的，故将其统称为FSPCA模型。模拟实验显示，FSPCA模型在处理相邻变量之间高度相关甚至完全相等的数据集上的表现良好。最后，将FSPCA模型应用于手写数字识别，发现与SPC模型相比，FSPCA模型所提取的主成分具备更好的解释性，这使得该模型更具实用价值。     

On the accuracy and cost of numerical integration in several variables ∗

Identical numerical integration experiments are performed on a CYBER 205 and an IBM 3081 in order to gauge the relative performance of several methods of integration. The methods employed are the general methods of Gauss-Legendre, iterated Gauss-Legendre, Newton-Cotes, Romberg and Monte Carlo as well as three methods, due to Owen, Dutt, and Clark respectively, for integrating the normal density. The bi- and trivariate normal densities and four other functions are integrated; the latter four have integrals expressible in closed form and some of them can be parameterized to exhibit singularities or highly periodic behavior. The various Gauss-Legendre methods tend to be most accurate (when applied to the normal density they are even more accurate than the special purpose methods designed for the normal) and while they are not the fastest, they are at least competitive. In scalar mode the CYBER is about 2-6 times faster than the IBM 3081 and the speed advantage of vectorised to scalar mode ranges from 6 to 15. Large scale econometric problems of the probit type should now be routinely soluble.     

A lost family-planning regime in eighteenth-century Ceylon

Based on Dutch colonial registers (thombos), this paper reconstructs fertility for two districts in Ceylon, 1756–68. It overcomes challenges in data quality by establishing the outer bounds of plausible estimates in a series of scenarios. Among these, total fertility rates (TFRs) averaged 5.5 in one district, but only 2.7 in the other. These figures exclude the victims of infanticide, a custom noted in European travelogues between about 1660 and 1820. Sex ratios among children differed depending on the number of older siblings, and overall, 27?per cent of girls are missing in one district and 57?per cent in the other. There was little significant variation either in the TFR or the sex ratio by socio-economic status, suggesting that poverty was not a key factor in motivating infanticides. Instead, we argue that at least parts of Ceylon had a forward-looking culture of family planning in the eighteenth century, which was lost in subsequent decades.     

农村住户调查县级样本代表性评估方法研究

 全国农村住户调查县级样本在1984年抽选后几未改变，在全国农村住户新一轮样本轮换中对其代表性进行评估非常必要，因此研究开发县级样本代表性评估方法有重要意义。本文利用第二次全国农业普查和县市统计数据，以甘肃省为例，通过分析调查县样本特性、考察调查县的收入分布和地域分布，探索调查县农民收入水平对所在省农民收入水平代表性的评估与调查县调整方法。     

地区与国家GDP核算总量数据衔接方法比较研究

 本文以国家数据为准，通过采用2005-2009年的数据为样本，从理论与实证上比较分析了地区与国家GDP数据衔接的三种方法即Geary和Stark的产出估算方法、线性调整法与辅助回归法，比较结果显示：（1）从理论上分析，三种方法都有其合理性，只是辅助回归法较另两种方法更具可取性。（2）从衔接效果上看，辅助回归法优于Geary和Stark的产出估算方法，Geary和Stark的产出估算方法又优于线性调整法。不过不同的方法皆有相应的适用场合与特点以及不同的衔接效果，因而只能说三种方法中有趋优的方法，但不能明确断定何种方法可以具体应用于实际数据衔接中并能达到良好的调整效果。     

基于作业成本法的企业物流成本控制研究

作业成本法是以作业成本计算为基础,融合作业会计与作业管理集成管理方法。作业成本法有效的克服了传统成本计算方法对于间接费用分配不公而导致的会计信息失真的情况。从而为企业提供经营决策所需的真实、客观的财务信息。对物流系统来说,作业成本法既重要又实用,被认为是确定和控制物流费用最有前途的方法。本文主要是介绍作业成本法的基本情况、及其对企业物流成本控制方面相对于传统成本计算方法的巨大优势,力求使人们能够对企业的物流成本有一个较为完整的认识,希望能引起企业管理者对作业成本法的重视,改变我国目前企业物流系统中作业成本法的实施情况,实现企业的成本竞争优势。     

Stress,strain, coping and social support for affected family members attending the National Problem Gambling Clinic,London

Aims were: to compare burden experienced by affected family members (AFMs) attending a problem gambling treatment clinic in London, England with that of AFMs affected by substance problems; to examine socio-demographic correlates of AFM burden; to evaluate change following an intervention designed for AFMs; and to test the assumption of the stress-strain-coping-support (SSCS) model that change in AFM coping is important. AFMs (N = 215) completed a gambling version of the short questionnaire for family members affected by addiction (SQFM-AA) which assesses stressful impact, symptoms of ill health, ways of coping, social support and overall burden. All received a 5-Step Method workbook, based on the SSCS model. The SQFM-AA was repeated three to six months later (n = 96). T-test analyses showed that baseline burden and related variables were comparable to those of family members affected by substance problems, were greater for wives and those living in the same household as the gambling relative, and were significantly reduced at follow-up. Regression modelling indicated the importance, for AFMs’ health, of reduced levels of engaged-emotional coping. Family members affected by gambling, some subgroups especially, experience high levels of burden. They can benefit from a model-based intervention, and coping change may be an important process.