First Housing Moves in Spain: An Analysis of Leaving Home and First Housing Acquisition

This paper examines young people's firsthousing acquisition in Spain. The majority ofyoung Spanish people leave home to buy aproperty and to live with a partner and/orchild. We examine the extent to which thistransition dominates first housing moves duringthe 1980s and consider the ways in which widerfamily networks facilitate leaving home to buya property. We then examine characteristicsassociated with deviation from this normativeroute. We find alternative transitions,particularly moving into rented accommodation,are more common among young people from moreadvantaged backgrounds, and those living innorthern Spain.     

公开市场操作公告对中国股市交易行为的影响

基于MRR结构模型,利用广义矩估计方法,从信息不对称和流动性成本角度考察了央行公开市场操作公告对股票市场交易行为的影响。实证结果表明,公开市场操作披露前股票市场的信息不对称程度、流动性成本并未发生显著变化,公开市场操作披露后30分钟内,信息不对称程度增加,流动性成本下降。在考虑了公开市场操作未预期的利率变化具体内容后,所得结果并没有显著变化。     

如何推进中等职业学校学生素质教育

素质教育是现阶段中国教育学界最热门的话题,各界都在从各方面来探讨如何推进中等职业学校学生素质教育。在现实中,各中等职业学校在招生方面普遍面临着问题,各所中专学校招收的学生素质普遍不高,毕业学生在社会上用人单住心目中反映也不好,如何推进中等职业学校学生素质教育?是摆在中等职业学校教育工作面前的一个重要问题。笔者作为一名中等职业学校的教育工作者从以下四方面来探讨如何推进中等职业学校学生素质教育,仅供大家参考。     

新时期学报资料信息工作之管见

文章从信息时代的需要出发,主要阐述了学报资料搜集的依据、原则和方法,提出了有效的管理办法和开发利用学报资料的新思路。     

一种基于神经网络和决策树的信用评估新方法

分析了数据挖掘在国内外金融领域的应用及研究现状,提出了一种基于神经网络和决策树相结合的信用评估新方法。该方法通过RBF神经网络,进行条件属性裁减,并利用决策树抽取出评估规则。此方法利用神经网络的“黑箱”工作特性,选择重要条件属性,并利用决策树自动生成评估规则,大大提高了信用评估的效率和客观性。     

基于数据挖掘的客户关系分析评价系统

分析功能的深化是客户关系管理(CRM)的一大发展趋势,应用数据挖掘技术建立的CRM分析评价系统,可以对客户的行为以及市场趋势进行有效的分析,为企业的各种决策提供定性和定量的依据。该系统主要模块包括:客户细分模块、客户行为分析模块和市场趋势分析模块。以上各个模块涉及了企业关心的各种客户行为及市场行为,通过各个模块的分析,企业可以辨认出高端客户,理解各种客户行为模式,并掌握市场发展趋势以保证企业在激烈的竞争中立于不败之地。     

Missing data and forecasting in multivariate time series: An application of the common components dynamic linear model

Summary The paper deals with missing data and forecasting problems in multivariate time series making use of the Common Components Dynamic Linear Model (DLMCC), presented in Quintana (1985), and West and Harrison (1989). Some results are presented and discussed: exploiting the correlation between series, estimated by the DLMCC, the paper shows as it is possible to update state vector posterior distributions for the unobserved series. This is realized on the base of the updating of the observed series state vectors, for which the usual Kalman filter equations can be applied. An application concerning some Italian private consumption series provides an example of the model capabilities.     

Towards a Cultural Analysis of the Modern Family: Beyond the Revisionist Paradigm in Japanese Family Studies

Under the influence of the "new history of the family" of the past few decades, a revisionist view of the "modern family" has emerged among family theorists in Japan. In spite of the significant merits of this new paradigm, I have argued that the failure of its proponents to address certain theoretical and presuppositional issues has discouraged a cultural analysis of the modern family. In recent years, one of the foremost theorists to attempt to bring cultural analysis fully into sociological discourse has been Jeffrey Alexander. I have drawn extensively on Alexander's discussion of Durkheim's later thought as the key to a cultural program in the field of sociology. In doing so, I have suggested that one effect of the transition to modern society is the sacralization of what Durkheim termed the "domestic order". Furthermore, in considering the mechanism by which the central emotional axis of the family comes to revolve around either the parent–child bond or the conjugal bond, I have postulated the existence of a "sacred" dyad—in the Durkheimian sense—within the family unit.     

Sources of family violence

This paper suggests a direction for the exploration of the causes of family violence. Explanatory models of family violence were considered in this regard, with the recommendation that a multi-determined model should be considered to ensure the most accurate explanation. We suggest that family violence will be best understood and prevented or alleviated, if a model is used that considers the interaction of structural violence and the personality features of all the family members.     

Sampling Strategies for Toxic Air Contaminants

Annual concentrations of toxic air contaminants are of primary concern from the perspective of chronic human exposure assessment and risk analysis. Despite recent advances in air quality monitoring technology, resource and technical constraints often impose limitations on the availability of a sufficient number of ambient concentration measurements for performing environmental risk analysis. Therefore, sample size limitations, representativeness of data, and uncertainties in the estimated annual mean concentration must be examined before performing quantitative risk analysis. In this paper, we discuss several factors that need to be considered in designing field-sampling programs for toxic air contaminants and in verifying compliance with environmental regulations. Specifically, we examine the behavior of SO2, TSP, and CO data as surrogates for toxic air contaminants and as examples of point source, area source, and line source-dominated pollutants, respectively, from the standpoint of sampling design. We demonstrate the use of bootstrap resampling method and normal theory in estimating the annual mean concentration and its 95% confidence bounds from limited sampling data, and illustrate the application of operating characteristic (OC) curves to determine optimum sample size and other sampling strategies. We also outline a statistical procedure, based on a one-sided t-test, that utilizes the sampled concentration data for evaluating whether a sampling site is compliance with relevant ambient guideline concentrations for toxic air contaminants.