浅议法律解释中的利益衡量法

文章从法律解释与利益衡量的关系出发,阐明利益衡量在民事审判中是有其存在的必要的。并在此基础上,探讨了法官在进行利益衡量时应使用哪些方法,排除哪些有碍利益衡量的因素,以及进行利益衡量时应考虑的利益原则和所负担的相当注意义务。     

Interactive Effects of Major Response Facilitators

Practitioners and researchers have long been interested in achieving the highest response rate within resource constraints on their mailed surveys. Achieving this high response rate typically has required the selection of the right mix of response-facilitating techniques. The selection decisions were generally made under the assumption that the response-facilitating techniques act independently of one another. The authors have examined the validity of this independence assumption by identifying the major response facilitators in use and then analyzing the results of 531 independent mail survey studies. The authors conclude that major facilitators do not function independently. In fact, it was found that significant joint action interactive effects on response rates do exist. Practitioners and researchers who are faced with the survey design decisions of choosing response facilitators can receive assistance by reviewing the results of this diverse collection of reported experiences.     

On Sampling Error in Market Share Estimates*

The relative error in the usual estimator of a brand's market share is reformulated in terms of marketing parameters. Such error is shown to be influenced in an important way by market penetration, as well as by variation in brand and product category volume. Of particular interest is the result that the relative error does not depend on the actual share level. Using data from a marketing research firm that supplies share estimates to the health products industry, we find that the relative error may be substantial even when a large sample is available. An upper bound on this relative error is obtained using marketing parameters that can frequently be measured using industry data and a company's internal records, thus reducing the level of judgmental input required in the planning of sample surveys.     

Custom Epoch Estimation for Surveys

The paper provides a method for generating epoch estimates for time series survey data, allowing for different periods of time (or even point estimates) according to user demand. The method uses a modified kriging estimator, which suppresses the contribution of sampling error variability in order to guarantee that custom epoch estimates have an interpolation property. For the veteran population variable of the American Community Survey, we utilize a simple Brownian Motion model of the population process and derive the modified kriging estimator for this case. The tuning parameters of this population model can be calibrated to the data via simple formulas. We illustrate the application of this method to the generation of point estimates of veteran population, an important objective for Veterans Affairs.     

Toward an integrated Bayesian network approach to measurement error detection and correction

In this article, the quality of data produced by national statistical institutes and by governmental institutions is considered. In particular, the problem of measurement error is analyzed and an integrated Bayesian network decision support system based on non-parametric Bayesian networks is proposed for its detection and correction. Non-parametric Bayesian networks are graphical models expressing dependence structure via bivariate copulas associated to the edges of the graph. The network structure and the misreport probability are estimated using a validation sample. The Bayesian network model is proposed to decide: (i) which records have to be corrected; (ii) the kind and amount of correction to be adopted. The proposed correction procedure is applied to the Banca d’Italia Survey on Household Income and Wealth and, specifically, the bond amounts are analyzed. Finally, the sensitivity of the conditional distribution of the true value random variable given the observed one to different evidence configurations is studied.     

大数据背景下网络调查样本的建模推断问题研究——以广义Boosted模型的倾向得分推断为例

随着大数据和网络的不断发展,网络调查越来越广泛,大部分网络调查样本属于非概率样本,难以采用传统的抽样推断理论进行推断,如何解决网络调查样本的推断问题是大数据背景下网络调查发展的迫切需求。本文首次从建模的角度提出了解决该问题的基本思路：一是入样概率的建模推断,可以考虑构建基于机器学习与变量选择的倾向得分模型来估计入样概率推断总体;二是目标变量的建模推断,可以考虑直接对目标变量建立参数、非参数或半参数超总体模型进行估计;三是入样概率与目标变量的双重建模推断,可以考虑进行倾向得分模型与超总体模型的加权估计与混合推断。最后,以基于广义Boosted模型的入样概率建模推断为例演示了具体解决方法。     

国家创新体系视角下的国家创新能力测度述评——理论方法、数据基础及中国实践

文章从国家创新体系角度,对创新能力测度相关的理论基础、方法工具、科技统计调查及中国的研究与实践进行全面梳理和分析。国家创新能力测度的发展与实践表明:国家创新体系理论(NIS理论)以系统论为指导全面考察创新活动的发生机制,为准确测度国家创新能力提供了有力支撑;不同时期形成的创新能力测度方法与当时占主流地位的创新理论密切相关;当前占主导地位的测度方法可分为建模计量法、综合指标法和DEA效率评价法三类,都是以NIS理论为支撑的;规范的科技统计调查是准确测度创新能力的前提,OECD是这方面的典范,其经验为发展中国家提供了参考依据;中国学者在测度方法的探索上有诸多独到之处,但国内科技统计调查工作仍有待进一步规范。     

Personal Values as Mitigating Factors in the Link Between Income and Life Satisfaction: Evidence from the European Social Survey

Using data from the first two rounds of the European Social Survey, we examine the link between income, reference income and life satisfaction across Western Europe. We find that whilst there is a strong positive relationship between income and life satisfaction, reference or comparison income exerts a strong negative influence. Interestingly, our results confirm the importance of personal values and beliefs not only as predictors of subjective well-being, but also as mitigating factors in the relationship between income, reference income and life satisfaction. While our findings provide additional empirical support for the relative utility hypothesis, they are also consistent with Rojas’ (J Econ Psychol 28:1–14, 2007) Conceptual-Referent-Theory (CRT), which is based on the premise that the salience of income and comparison income depends on one’s intrinsic values and personal beliefs.

Happiness is not Enough: Cognitive Judgements as Indicators of National Wellbeing

The European Social Survey, on which this issue of the journal focuses, is a 30-nation multi-funded survey series measuring attitude change. Started in 2001, it is characterised by unusually high standards of sampling and data equivalence. Its data are made available on-line with equal access to all, and have already attracted over 20,000 users. Many papers, articles and books based on the ESS have already appeared. But none has yet employed the data—whether alone or with other sources—to derive indicators of citizens’ cognitive judgements of their society. A recent EC grant is enabling the authors to fill this gap, covering topics such as trust in national institutions, tolerance, social cohesion, social trust and fear of crime. The aim is to be able to monitor changes over time in the distance between what citizens believe their society ought to be in these respects and how they actually perceive it to be.