Beyond Piketty: A new perspective on poverty and inequality in India

The socio-economic literature has focused much on how overall inequality in income distribution (frequently measured by the Gini coefficient) undermines the “trickle down” effect. In other words, the higher the inequality in the income distribution, the lower is the growth elasticity of poverty. However, with the publication of Piketty’s magnum opus (2014), and a subsequent study by Chancel and Piketty (2017) of evolution of income inequality in India since 1922, the focus has shifted to the income disparity between the richest 1% (or 0.01%) and the bottom 50%. Their central argument is that the rapid growth of income at the top end of millionaires and billionaires is a by-product of growth. The present study extends this argument by linking it to poverty indices in India. Based on the India Human Development Survey 2005–12 – a nationwide panel survey-we examine the links between poverty and income inequality, especially in the upper tail relative to the bottom 50%, state affluence (measured in per capita income) and their interaction or their joint effect. Another feature of our research is that we analyse their effects on the FGT class of poverty indices. The results are similar in as much as direction of association is concerned but the elasticities vary with the poverty index. The growth elasticities are negative and significant for all poverty indices. In all three cases, the disparity between the income share of the top 1% and share of the bottom 50% is associated with greater poverty. These elasticities are much higher than the (absolute) income elasticities except in the case of the poverty gap. The largest increase occurs in the poverty gap squared – a 1% greater income disparity is associated with a 1.24% higher value of this index. Thus the consequences of even a small increase in the income disparity are alarming for the poorest.     

A class of symmetric bivariate uniform distributions

A class of symmetric bivariate uniform distributions is proposed for use in statistical modeling. The distributions may be constructed to be absolutely continuous with correlations as close to±1 as desired. Expressions for the correlations, regressions and copulas are found. An extension to three dimensions is proposed.     

通货紧缩的经济社会效应分析

通货紧缩作为经济运行中的一种常态现象 ,必然对经济、社会产生多方面影响。其效应表现为 :通过一般物价水平的下降以及对现存市场供求关系的破坏 ,对生产产生促退效应 ,导致失业率上升 ;总体上降低居民的消费能力 ;造成分配不公 ,导致社会财富由债务人向债权人、由国家向公众、由企业向消费者、由低收入者向高收入者的转移。针对通货紧缩的负效应 ,政府要采取措施 ,抑制分配不公 ,适当地向收入较低的普通百姓倾斜 ;企业要抓住机遇 ,尽快清理库存 ,同时狠抓技术创新、质量提高和内部管理 ,为新一轮发展作准备 ;居民要调整“买涨不买落”的传统心态 ,树立消费新观念。     

善是什么

善恶观念的产生要从物质实践出发来解释。对什么是善的问题 ,西方伦理学家们依据自己不同的研究方法 ,各抒己见 ,这些观点有其合理性 ,同时也存在着不可避免的缺陷 ,追问善的问题 ,离不开对善恶关系的探讨 ,善恶是相对的 ,同时也存在着客观的评价标准。考察善是什么 ,必须将动机与效果统一起来才能把握     

创业教育探究

创业教育是未来主导性教育体制与教育形态之一 ,它植根于创业概念、创业现象、创业学、创业大赛、创业者的研究之中。创业教育走过了一条从无到有 ,从精英到平民的道路。创业教育的兴起是国际政治、经济、文化、教育、价值竞争的结果     

A Bayesian Adjustment for Covariate Misclassification with Correlated Binary Outcome Data

Estimated associations between an outcome variable and misclassified covariates tend to be biased when the methods of estimation that ignore the classification error are applied. Available methods to account for misclassification often require the use of a validation sample (i.e. a gold standard). In practice, however, such a gold standard may be unavailable or impractical. We propose a Bayesian approach to adjust for misclassification in a binary covariate in the random effect logistic model when a gold standard is not available. This Markov Chain Monte Carlo (MCMC) approach uses two imperfect measures of a dichotomous exposure under the assumptions of conditional independence and non-differential misclassification. A simulated numerical example and a real clinical example are given to illustrate the proposed approach. Our results suggest that the estimated log odds of inpatient care and the corresponding standard deviation are much larger in our proposed method compared with the models ignoring misclassification. Ignoring misclassification produces downwardly biased estimates and underestimate uncertainty.     

剑溪堂刻本《书经》考述

剑溪堂刻本《书经》为近年在徽州地区发现的一种《尚书》新版本。根据其书口、版式、字体、用纸、内封面以及避讳等情况综合判断,该书刊行于明神宗万历年间,与北图藏元明间宗文书堂刻本《书集传音释六卷》同出一个版本系统。它的出现对于认识《书经》乃至整个《尚书》的流变史有其重要意义。在蔡沈集传《书经》普遍流行六册、七册线装本的情况下,三册毛装本无疑还具有较强的版本认识价值。     

面孔认知中表情的印象操作的有效性

运用促进面孔记忆新的处理策略“表情的印象操作”，研究在笑脸中包含着怎样的信息。研究发现，与平静表情的面孔相比，笑脸是更具优势的表情，在笑脸的表情之中包含着更多促进面孔记忆的信息。     

A Note on the Role of the Propensity Score for Estimating Average Treatment Effects

Hahn [Hahn, J. (1998). On the role of the propensity score in efficient semiparametric estimation of average treatment effects. Econometrica 66:315-331] derived the semiparametric efficiency bounds for estimating the average treatment effect (ATE) and the average treatment effect on the treated (ATET). The variance of ATET depends on whether the propensity score is known or unknown. Hahn attributes this to “dimension reduction.” In this paper, an alternative explanation is given: Knowledge of the propensity score improves upon the estimation of the distribution of the confounding variables.     

浅论缩短反馈时间在中学英语写作教学中的作用

本文通过调查一所普通中学学生对教师英语作文反馈时间的偏好并进行实验研究,利用统计学的描述性统计,独立/相关样本T检验分析方法,作者发现缩短反馈时间确实能够提高学生的英语写作水平,并结合其对教学的启示进行了讨论。