Managers in the Global Economy: A Multilevel Analysis

We examine individual‐ and country‐level determinants of managerial employment, using data from the 1989 to 2009 waves of the World Values and European Values Surveys (n = 89,336 employed adults in 59 countries). Reflecting the rise of the transnational capitalist class, we find that factors related to globalization and international political institutions are most strongly associated with opportunities to join the managerial class relative to factors related to the business‐cycle or development. Additionally, in a subset of countries with detailed occupational information, we find that global trade has a particularly strong, positive association with the odds of being a corporate manager in a large firm.     

Mortality among elder abuse victims in rural Malaysia: A two-year population-based descriptive study

Our study aims at describing mortality among reported elder abuse experiences in rural Malaysia. This is a population-based cohort study with a multistage cluster sampling method. Older adults in Kuala Pilah (n = 1,927) were interviewed from November 2013 to May 2014. Mortality was traced after 2 years using the National Registration Department database. Overall, 139 (7.2%) respondents died. Fifteen (9.6%) abuse victims died compared to 124 (7.0%) not abused. Mortality was highest with financial abuse (13%), followed by psychological abuse (10.8%). There was a dose-response relationship between mortality and clustering of abuse: 7%, 7.7%, and 14.0% for no abuse, one type, and two types or more, respectively. Among abuse victims, 40% of deaths had ill-defined causes, 33% were respiratory-related, and 27% had cardiovascular and metabolic origin. Results suggest a link between abuse and mortality. Death proportions varied according to abuse subtypes and gender.     

谢彬《新疆游记》中的民语译言探析

谢彬《新疆游记》是部享誉海内的著作,但由于作者本人不懂民族语言,其中的民语译言难免出现谬误,文章从音译、释义两方面对其中的民语译言进行了尝试性的勘误探析。     

The analysis of policy implementation models in higher education: the case study of Indonesia

This paper aims to analyse and understand the models of policy implementation in Indonesian state universities during the ongoing process of market-driven reforms and how academics respond to these models. The research undertaken was in the form of qualitative study using semi-structured interviews as instruments to collect data. Interviews were conducted with 30 academics in three state universities in Indonesia. The research demonstrated that policy implementation in Indonesian state universities takes largely a dialectical form which takes place both at macro and micro levels, suggesting a blended application of top-down and bottom-up approaches. The results of this study also confirmed that the interaction between policy and local systems plays an important role for the successful implementation of the policy. Indonesian academics perceived that each of these models has its strength and weaknesses particularly in relation to the aspect of collegiality. It is anticipated that the study will both contribute to a better understanding of the dynamics between governments as policy makers and academics as street level bureaucrats in the implementation of a policy, and offer guidance for policy makers in the formulation and enactment of relevant policies in higher education sectors both in Indonesia and other contexts implementing policy implementation.     

Bayesian approach to errors-in-variables in count data regression models with departures from normality and overdispersion

In most practical applications, the quality of count data is often compromised due to errors-in-variables (EIVs). In this paper, we apply Bayesian approach to reduce bias in estimating the parameters of count data regression models that have mismeasured independent variables. Furthermore, the exposure model is misspecified with a flexible distribution, hence our approach remains robust against any departures from normality in its true underlying exposure distribution. The proposed method is also useful in realistic situations as the variance of EIVs is estimated instead of assumed as known, in contrast with other methods of correcting bias especially in count data EIVs regression models. We conduct simulation studies on synthetic data sets using Markov chain Monte Carlo simulation techniques to investigate the performance of our approach. Our findings show that the flexible Bayesian approach is able to estimate the values of the true regression parameters consistently and accurately.     

Proletarianization with polarization: Industrialization, globalization, and social class in Turkey, 1980–2005

This paper analyzes the social class structure of Turkey during the latest wave of economic globalization in four dimensions: by sector of employment, with the Erikson–Goldthorpe–Portocarero (EGP) class schema, by occupational group, and in terms of informal employment. Since 1980, when Turkey opened to the global economy, the Turkish social class structure changed significantly. During this period, Turkey became a significant exporter of mostly low-technology, but also increasingly medium- and high-technology, manufactured goods. I contend that this economic globalization and industrialization contributed to a dual process of proletarianization and polarization. Proletarianization occurred through a transition from Turkey's agrarian tradition, a relative decline of the public sector, and an expansion of classes who sell their labor without workplace authority. Polarization entailed the growth of private-sector entrepreneurial, professional and managerial classes, and a simultaneous expansion of the informal sector. There were also differences between sexes. The share of manufacturing employment and the low-skilled labor classes expanded at rates much higher among women than among men, contributing to more rapid proletarianization.     

和田地区中小学双语师资培训教育调研报告

和田地区的双语师资培训教育,对于疆内其他地区正在发展的双语师资培训教育有一定的借鉴意义.文章在回顾和田地区双语师资培训教育历史的基础上,介绍了该地区在培训工作中所积累的校本培训、县级集中培训和地区级集中培训等经验,指出了在培训教育中存在的培训课程品种单一、学科和年级分布不均衡、双语教师数量结构性短缺等问题,提出了培养受训学员的自学能力、严把参训学员选送关和制定双语教师资格标准等一些建议.     

System Estimation of Panel Data Models Under Long-Range Dependence

A general dynamic panel data model is considered that incorporates individual and interactive fixed effects allowing for contemporaneous correlation in model innovations. The model accommodates general stationary or nonstationary long-range dependence through interactive fixed effects and innovations, removing the necessity to perform a priori unit-root or stationarity testing. Moreover, persistence in innovations and interactive fixed effects allows for cointegration; innovations can also have vector-autoregressive dynamics; deterministic trends can be featured. Estimations are performed using conditional-sum-of-squares criteria based on projected series by which latent characteristics are proxied. Resulting estimates are consistent and asymptotically normal at standard parametric rates. A simulation study provides reliability on the estimation method. The method is then applied to the long-run relationship between debt and GDP. Supplementary materials for this article are available online.