社会转型与少数民族价值观变迁:以西南地区为例

从西南少数民族历史发展进程来看,其生活环境相对封闭,从而对少数民族成员的自我与他者认同构成了影响,形成特定的制度体系、交往体系和价值体系。但随着改革开放和社会转型的推进,少数民族的价值观体系也发生了变化,具体表现在价值主体、价值运行以及身份认知三个层次上,它们共同促进了少数民族的认同序列重构。     

Correlates of perceived effectiveness of the Safe Schools/Healthy Students Initiative

A three-level growth-curve model was applied to estimate perceived impact growth trajectories, using multi-year data from project and school surveys on outcome and program implementation collected from 59 sites and approximately 1165 participating schools in the Safe Schools and Healthy Students Initiative. Primary interest is to determine whether and how project-level and school-level correlates affect schools’ perceptions of the Initiative's effectiveness over time when the effects of the pre-grant environmental conditions, grant operations, and near-term outcomes are considered. Coordination and service integration, comprehensive programs and activities for early childhood development, and change in school involvement were found to be significant predictors of school-perceived overall impact when the effect of poverty was considered. Partnership functioning, perceived importance of school resources, and school involvement were found to be significant predictors of school-perceived impact on substance use prevention when the effect of poverty was considered.     

The source of Black-White inequality in early language acquisition: Evidence from Early Head Start

I compare language learning trajectories for Black and White children over the first 3 years of life using data from the Early Head Start Research and Evaluation study (EHSRE) in order to determine the timing and source of divergence in early language skill. Results indicate that that while controlling for racial differences in family background and a measure of the home language environment cannot entirely account for disparities in language acquisition, interactions between age, race and maternal education, and between race and a time-varying measure of the home language environment play a significant role. I show that returns to parental education and the home language environment, in terms of language learning, are higher for White children than their Black peers. Specification checks confirm that these results are robust to alternate definitions of child language and the home language environment, and that no interactions between race, age and any of the other covariates are significant. I discuss possible explanations for these race specific education gradients, including measurement error and test bias. In addition, I address relevant empirical issues in estimating language growth with respect to linguistic inputs and the home language environment.     

Gap and Integration - Volunteer Service for Western China and College Students＇ Growth

大学生志愿服务西部计划的目的之一是大学生通过奉献社会来实：观个人成长。他们能否真正地成为当地社会中的一员,是实现这一目的的关键。在异文化环境之中,想短时间内成为其中一员并非易事,因为有一道浅浅的沟壑存在于青年文化与当地文化、当地人与外来人、青年人与长辈之间。为实现志愿服务效果的最大化,西部志愿者应该积极主动地融入当地社会．当地社会应对他们抱持开放的态度,他们与当地长辈之间应该展开对话,他们更应该战胜和超越自我。     

中国各地区市场化进程区位分布的空间效应研究

 本文从空间分析的角度研究各地区市场化进程的空间效应及其对区域经济增长绩效的影响,空间计量经济分析的结果表明市场化进程的空间分布在整个样本区间与GDP、资本和劳动一样呈现出集聚的趋势,区域差异显著,各地区的市场化进程在地理空间上存在显著的自相关关系,证实了各地区市场化进程存在制度溢出效应。因此,在研究各地区市场化进程与经济增长关系时必须考虑其空间效应的影响,基于此结论本文运用空间计量模型测算了各地区市场化进程对经济增长的贡献。结果证实,考虑了空间效应后,市场化进程在1998～2001年阶段对经济增长的贡献约为6.2％,在2002～2005年阶段约为10.8％,这表明了市场化对中国的经济增长起到了重要的作用,而且近年来的贡献愈加显著。     

月度工业生产发展速度指标解读：差异比较与经验启示 ——以OECD国家为例

 正确解读统计指标是准确理解和把握统计数据意义的关键所在。本文从指标的名称、定义、计算方法、空间规定和基础指标获得方式等方面,对OECD国家的工业生产发展速度指标进行了全面解读,以期从中得出经验与启示。     

Deconvolution methods for non-parametric inference in two-level mixed models

Summary.  We develop a general non-parametric approach to the analysis of clustered data via random effects. Assuming only that the link function is known, the regression functions and the distributions of both cluster means and observation errors are treated non-parametrically. Our argument proceeds by viewing the observation error at the cluster mean level as though it were a measurement error in an errors-in-variables problem, and using a deconvolution argument to access the distribution of the cluster mean. A Fourier deconvolution approach could be used if the distribution of the error-in-variables were known. In practice it is unknown, of course, but it can be estimated from repeated measurements, and in this way deconvolution can be achieved in an approximate sense. This argument might be interpreted as implying that large numbers of replicates are necessary for each cluster mean distribution, but that is not so; we avoid this requirement by incorporating statistical smoothing over values of nearby explanatory variables. Empirical rules are developed for the choice of smoothing parameter. Numerical simulations, and an application to real data, demonstrate small sample performance for this package of methodology. We also develop theory establishing statistical consistency.     

On high fertility rates in developing countries: birth limits, birth taxes, or education subsidies?

In this paper, we consider two types of population policies observed in practice: birth limits and birth taxes. We find that both achieve very similar equilibrium solutions if tax revenue finances lump-sum transfers. By reducing fertility and promoting growth, both birth policies may achieve higher welfare than conventional education subsidies financed by income taxes. A birth tax for education subsidies can achieve the first-best solution. The welfare gain of the first-best policy may be equivalent to a massive 10–50% rise in income, depending on the degree of human capital externalities and the elasticity of intertemporal substitution.      

A new nonlinear asymmetric cointegration approach using error correction models

In this article, two new powerful tests for cointegration are proposed. The general idea is based on an intuitively appealing extension of the traditional, rather restrictive cointegration concept. In this article, we allow for a nonlinear, but most importantly a different, asymmetric convergence process to account for negative and positive changes in our cointegration approach. Using Monte Carlo simulations we verify, that the estimated size of the first test depends on the unknown value of a signal-to-noise ratio q. However, our second test—which is based on the original ideas of Kanioura and Turner—is more successful and robust in the sense that it works in all of the different evaluated situations. Furthermore it is shown to be more powerful than the traditional residual based Enders and Siklos method. The new optimal test is also applied in an empirical example in order to test for potential nonlinear asymmetric price transmission effects on the Swedish power market. We find that there is a higher propensity for power retailers to rapidly and systematically increase their retail electricity prices subsequent to increases in Nordpool's wholesale prices, than there is for them to reduce their prices subsequent to a drop in wholesale spot prices.     

Comparison of methods for analyzing binary repeated measures data: A simulation-based study (comparison of methods for binary repeated measures)

In this study, some methods suggested for binary repeated measures, namely, Weighted Least Squares (WLS), Generalized Estimating Equations (GEE), and Generalized Linear Mixed Models (GLMM) are compared with respect to power, type 1 error, and properties of estimates. The results indicate that with adequate sample size, no missing data, the only covariate being time effect, and a relatively limited number of time points, the WLS method performs well. The GEE approach performs well only for large sample sizes. The GLMM method is satisfactory with respect to type I error, but its estimates have poorer properties than the other methods.