Meta-analysis,pretest, and shrinkage estimation of kurtosis parameters

An asymptotic theory for the improved estimation of kurtosis parameter vector is developed for multi-sample case using uncertain prior information (UPI) that several kurtosis parameters are the same. Meta-analysis is performed to obtain pooled estimator, as it is a statistical methodology for pooling quantitative evidence. Pooled estimator is a good choice when assumption of homogeneity holds but it becomes inconsistent as assumption violates, therefore pretest and Stein-type shrinkage estimators are proposed as they combine sample and nonsample information in a superior way. Asymptotic properties of suggested estimators are discussed and their risk comparisons are also mentioned.     

国内战略风险研究的元分析

本文从中国知网4个数据库中筛选出150篇关于战略风险研究的文章,用元分析方法,从发表年份、作者来源、作者学科背景、研究主题的侧重点和主要研究方法等5个维度,分析国内战略风险研究的现状及不足,并探讨战略风险研究的未来方向。     

The New Statistics for Better Science: Ask How Much,How Uncertain,and What Else Is Known

Abstract

The “New Statistics” emphasizes effect sizes, confidence intervals, meta-analysis, and the use of Open Science practices. We present three specific ways in which a New Statistics approach can help improve scientific practice: by reducing overconfidence in small samples, by reducing confirmation bias, and by fostering more cautious judgments of consistency. We illustrate these points through consideration of the literature on oxytocin and human trust, a research area that typifies some of the endemic problems that arise with poor statistical practice.     

Large-Scale Replication Projects in Contemporary Psychological Research

ABSTRACT

Replication is complicated in psychological research because studies of a given psychological phenomenon can never be direct or exact replications of one another, and thus effect sizes vary from one study of the phenomenon to the next—an issue of clear importance for replication. Current large-scale replication projects represent an important step forward for assessing replicability, but provide only limited information because they have thus far been designed in a manner such that heterogeneity either cannot be assessed or is intended to be eliminated. Consequently, the nontrivial degree of heterogeneity found in these projects represents a lower bound on the true degree of heterogeneity. We recommend enriching large-scale replication projects going forward by embracing heterogeneity. We argue this is the key for assessing replicability: if effect sizes are sufficiently heterogeneous—even if the sign of the effect is consistent—the phenomenon in question does not seem particularly replicable and the theory underlying it seems poorly constructed and in need of enrichment. Uncovering why and revising theory in light of it will lead to improved theory that explains heterogeneity and increases replicability. Given this, large-scale replication projects can play an important role not only in assessing replicability but also in advancing theory.     

The motherhood wage penalty: A meta-analysis

Mothers tend to receive lower wages than comparable childless women. This ‘motherhood wage gap’ has been reported in numerous studies. We summarize the existing empirical evidence on this topic using meta-analysis and test for several mechanisms which can be responsible for the persistence of the wage gap. Based on 208 wage effects of having exactly one child and 245 wage effects of the total number of children, we find an average motherhood wage gap of around 3.6–3.8%. While the gaps associated with the total number of children are mostly explained by the loss of mothers' human capital during child-related career breaks, the gaps associated with one child are predominantly driven by mothers' choice of jobs and occupations that pay less. The residual gap is smallest in Nordic countries, where public policies actively support gender equality and reconciliation of work and family, as well as Belgium and France, and largest in the post-socialist countries of Central and Eastern Europe and Anglo-Saxon countries.     

国内消费者对转基因食品购买意愿研究综述:元分析

对按筛选标准入选的11篇文献70个观察进行元分析,结果表明,在控制（1）消费者样本特征、（2）调查方法特征和（3）所研究的食品特征后,计量经济学模型可以解释转基因食品购买倾向估计方差的71%;结果还发现,由城市消费者构成的样本购买意愿显著高于非城市消费者;以面访方式调查、以及在调查时向消费者提供转基因食品的正面信息,被调查者倾向于增加购买GM食品的意愿;被评价食品特征（是否向消费者提供直接利益）对消费者购买意愿亦有显著影响。     

基于元分析的网络强度与企业创新关系研究

运用元分析方法对近年来国内外关于网络强度与企业创新关系的定量研究(57项研究的12 430个独立样本)进行了再统计分析,证明网络强度对企业创新存在显著正向影响,从一般意义上证实了网络强度能有效促进企业创新.并进一步探讨了不同类型网络强度分别对企业创新的影响:商业网络强度和技术网络强度均对企业创新具有显著正向影响,且技术网络强度对企业创新的影响大于商业网络强度.此外,还研究了文化因素、行业因素和区位因素3个调节变量对二者关系的影响.结果表明,在东方文化背景下、在传统制造业或服务业中以及在发达地区,网络强度对企业创新的影响更显著.