大力发展农产品加工业提高农业市场竞争力

加入WTO后,我省的农业结构调整进入了根本性变革的新阶段,除从农业内部着手外,更需要从农业之外寻找出路.做大做强农产品加工业将提高我省农产品竞争能力,农产品加工业的大发展将担负起优化结构,增加收入的历史重任.而要发展农产品加工业,必须实现六个方面的突破.     

货币政策调控有效性的实证检验

应用平稳性检验、协整性检验与因果检验,分析货币政策对经济政策与物价变动的影响,以此检验货币政策的有效性。实证结果表明,金融变量与经济增长、物价变动之间存在着长期稳定的因果关系,特别是80年代以来推行的市场经济改革,增强了中央银行选择货币供应量作为中介指标的可操作性,中央银行可通过控制货币供给总量来影响宏观经济活动,达到间接调控的目的。     

和谐社会建设中低收入群体社会心态的引导与调适

良好的社会心态既是构建社会主义和谐社会的一种内在要求，也是和谐社会建设的重要心理资源。在社会转型时期，由收入差距扩大引起的不公平感和社会生活中的焦虑感，使低收入群体遭受到物质和精神上的双层困扰，并产生政治上的冷漠心态和信仰上的迷茫，为此，需要在社会意识领域做好教育疏导工作，更要在社会存在领域做好良好社会心态的强本固基工作。     

基于可变参数优化的相关证据合成方法研究

总结了相关证据合成的理论方法,分析了已有合成方法的不足,对相关证据的相关焦元 的分布情况进行了分析,提出一种面向问题的基于可变参数的相关证据的合成方法. 方法只对 相关焦元的基本可信数进行修正,克服了对相关证据所有焦元进行修正的弱点,使修正的对象 更加合理,修正系数可用基于学习的寻优方法得到. 在相关证据的相关焦元的基本可信数未知 的情况下也可进行相关证据的合成. 计算结果表明该方法对合成的结果有明显的改进     

Connecting for success: Egocentric network types among underrepresented minority students at college

This study investigates the egocentric networks of underrepresented minority students. Adjustment to college for underrepresented minority students often means balancing between the origin (i.e., low-status family) and host (i.e., academic) environments, requiring students to develop different coping strategies. The analysis included 124 Roma university students. We employed the contact diary method and the EgoNet program for mapping students’ egocentric networks. We explored classification among egocentric networks by cluster analysis based on the network proportion of the origin, fellow, and host groups. Three clusters were distinguished. The Host-based cluster proved to be the most advantageous, while the Balancing cluster appeared to be the most disadvantageous in terms of network resources, well-being, and trust. Partners’ ethnicity and educational attainment showed a strong connection with cluster membership. Our results highlight that small fellow communities can successfully interconnect the origin and host groups in students’ egocentric networks.     

A comparison of maximum likelihood and least squares for the estimation of a cumulative distribution

Monte Carlo methods are used to compare the methods of maximum likelihood and least squares to estimate a cumulative distribution function. When the probabilistic model used is correct or nearly correct, the two methods produce similar results with the MLE usually slightly superior When an incorrect model is used, or when the data is contaminated, the least squares technique often gives substantially superior results.     

A pool-adjacent-violators-algorithm approach to detect infinite parameter estimates in one-regressor dose–response models with asymptotes

Binary response models are often applied in dose–response settings where the number of dose levels is limited. Commonly, one can find cases where the maximum likelihood estimation process for these models produces infinite values for at least one of the parameters, often corresponding to the ‘separated data’ issue. Algorithms for detecting such data have been proposed, but are usually incorporated directly into in the parameter estimation. Additionally, they do not consider the use of asymptotes in the model formulation. In order to study this phenomenon in greater detail, we define the class of specifiably degenerate functions where this can occur (including the popular logistic and Weibull models) that allows for asymptotes in the dose–response specification. We demonstrate for this class that the well-known pool-adjacent-violators algorithm can efficiently pre-screen for non-estimable data. A simulation study demonstrates the frequency with which this problem can occur for various response models and conditions.     

Confucius＇ Psychological Adjustment Strategies and Its Revelation for Teachers

孔子以丰厚的学识修养锻炼出成熟丰富的心理调适策略：树立崇高的价值取向；构建学习型生活方式；培养高雅的生活情趣；固守正确的交友观念；保持幽默的人生态度。这些策略对当代教师具有重要的借鉴意义。     

Spanish migrants to European Union countries: predictors of psychological adjustment / Españoles que emigran a países de la Unión Europea: predictores de su ajuste psicológico

In recent years, the migration of Spanish people to other countries in Europe has increased; however, there are hardly any studies on this phenomenon. The aim of this study is to identify the predictive sociodemographic and psychosocial factors of psychological adjustment (life satisfaction and absence of internalizing symptoms) of emigrants and to determine the indirect effects of these factors through perceived stress. This study also seeks to examine whether the psychological adjustment of Spanish emigrants was similar to Spanish non-emigrants. The sample was made up of a group of Spanish emigrants to Germany and England (n = 858) and an equivalent control group of Spanish non-emigrants (n = 328). The results show that fulfilment of expectations, emotional support and job quality are the best predictors of perceived stress and psychological adjustment. These factors are confirmed to have indirect effects on psychological adjustment through perceived stress. Finally, the mental health of emigrants and non-emigrants was similar, and the implications of these findings are discussed.     

Scanner Data and the Treatment of Quality Change in Nonrevisable Price Indexes

The recently developed rolling year GEKS procedure makes maximum use of all matches in the data to construct nonrevisable price indexes that are approximately free from chain drift. A potential weakness is that unmatched items are ignored. In this article we use imputation Törnqvist price indexes as inputs into the rolling year GEKS procedure. These indexes account for quality changes by imputing the “missing prices” associated with new and disappearing items. Three imputation methods are discussed. The first method makes explicit imputations using a hedonic regression model which is estimated for each time period. The other two methods make implicit imputations; they are based on time dummy hedonic and time-product dummy regression models and are estimated on bilateral pooled data. We present empirical evidence for New Zealand from scanner data on eight consumer electronics products and find that accounting for quality change can make a substantial difference.