出生性别比综合治理:有所为,有所不为

从1980年我国出生性别比越过正常值域至今,党和各级政府制订了种种措施进行综合治理,但取得的成效甚微。这一时期我国治理工作的特点有:重视禁止性法律法规的制定,但与之相配套的规章制度比较缺乏;重视目标任务的提出,但落实目标的措施比较缺乏;部门性、专项性规章制度较多,综合性规章制度比较缺乏。今后一段时期内综合治理工作,可以按照避实就虚、避难就易的原则,在大力发展社会经济、建立健全社会养老制度、相关法律法规的制定与完善、加大对两非行为的打击力度等方面有所作为;而在人口生育政策的调整、传统文化的改变等方面有所不为。     

Anerkennung und Geschlecht im kulturellen Feld. Zur Unterrepr?sentanz von DJ-Frauen in elektronischen Musikszenen

This article explores the reasons for the under-representation of female DJs in electronic dance music scenes using twelve interviews conducted with Viennese Techno- and Drum??n?? Bass-DJs. Pierre Bourdieu??s theory on the cultural field serves as the theoretical framework and the Grounded Theory as the methodology. My research results show that the under representation of female DJs can be substantially traced back to the following social practices: Female DJs are often excluded from informal scene networks and they receive less recognition for their DJ performances than male DJs; moreover the attributes necessary for success are ascribed to male DJs, whereby men are engendered as ??good?? DJs within the field. The idea that men would be ??good?? DJs corresponds with the idealized notion of successful and assertivemasculinity in our society.     

Intimate Partner Violence,Minority Stress,and Sexual Risk-Taking Among U.S. Men Who Have Sex With Men

This article examines the prevalence of intimate partner violence (IPV) among a national sample of Internet-recruited U.S. men who have sex with men (MSM) (n = 1,575), and associations between reporting of IPV, minority stress, and sexual risk-taking. Five outcomes are examined: experiences of physical and sexual violence, perpetration of physical and sexual violence, and unprotected anal intercourse (UAI) at last sexual encounter. MSM who reported experiencing more homophobic discrimination and internalized homophobia were more likely to report experiences of IPV. The results point to the need for prevention messages to address the external and internal stressors that influence both violence and sexual risk among MSM.     

Why is the History of Heterosexuality Essential? Beliefs About the History of Sexuality and Their Relationship to Sexual Prejudice

Heterosexual people with more positive attitudes to lesbians and gay men generally believe that homosexuality is immutable, is not a discrete social category, and that homosexuality exists in all cultures and time periods. Equivalent beliefs about heterosexuality and beliefs about components of sexuality have been less often researched. 136 people with diverse sexualities described heterosexuality as more universal across history and culture than homosexuality (Study 1). 69 heterosexual-identified participants similarly believed that love, identity, behavior, and desire were more historically invariant aspects of heterosexuality than of homosexuality (Study 2). Less prejudiced participants thought all components of homosexuality—except for identity—were more historically invariant. Teasing apart beliefs about the history of components of heterosexuality and homosexuality suggests that there is no “essential” relationship between sexual prejudice and the tension between essentialist and constructivist views about the history of sexual identity.     

The Decomposition of Economic Outcomes as a Result of Changes in Brazil’s Male Age–Education Structure

In Brazil, the age and education compositions of the male labor force is changing with great regional variation. Based on Demographic Census microdata, results indicate that cohort size has a negative impact on earnings, but this effect is decreasing over time. In this study we consider the impact on earnings by age and education, as well as estimated income inequality reduction and racial differentials. Fertility decline and improve regarding educational attainment had a significant influence on the decline of income inequality in the country. Moreover, the non-white population has been experiencing less success in relation to educational achievement, compared to the white population.     

Multivariate normal estimation: the case (n < p)

Estimation in the multivariate context when the number of observations available is less than the number of variables is a classical theoretical problem. In order to ensure estimability, one has to assume certain constraints on the parameters. A method for maximum likelihood estimation under constraints is proposed to solve this problem. Even in the extreme case where only a single multivariate observation is available, this may provide a feasible solution. It simultaneously provides a simple, straightforward methodology to allow for specific structures within and between covariance matrices of several populations. This methodology yields exact maximum likelihood estimates.     

HDDA: DataSifter: statistical obfuscation of electronic health records and other sensitive datasets

There are no practical and effective mechanisms to share high-dimensional data including sensitive information in various fields like health financial intelligence or socioeconomics without compromising either the utility of the data or exposing private personal or secure organizational information. Excessive scrambling or encoding of the information makes it less useful for modelling or analytical processing. Insufficient preprocessing may compromise sensitive information and introduce a substantial risk for re-identification of individuals by various stratification techniques. To address this problem, we developed a novel statistical obfuscation method (DataSifter) for on-the-fly de-identification of structured and unstructured sensitive high-dimensional data such as clinical data from electronic health records (EHR). DataSifter provides complete administrative control over the balance between risk of data re-identification and preservation of the data information. Simulation results suggest that DataSifter can provide privacy protection while maintaining data utility for different types of outcomes of interest. The application of DataSifter on a large autism dataset provides a realistic demonstration of its promise practical applications.     

Comparison of performance measures for multivariate discrete models

For multivariate probit models, Spiess and Tutz suggest three alternative performance measures, which are all based on the decomposition of the variation. The multivariate probit model can be seen as a special case of the discrete copula model. This paper proposes some new measures based on the value of the likelihood function and the prediction-realization table. In addition, it generalizes the measures from Spiess and Tutz for the discrete copula model. Results of a simulation study designed to compare the different measures in various situations are presented.