Partial Identification of Economic Mobility: With an Application to the United States

Abstract

The economic mobility of individuals and households is of fundamental interest. While many measures of economic mobility exist, reliance on transition matrices remains pervasive due to simplicity and ease of interpretation. However, estimation of transition matrices is complicated by the well-acknowledged problem of measurement error in self-reported and even administrative data. Existing methods of addressing measurement error are complex, rely on numerous strong assumptions, and often require data from more than two periods. In this article, we investigate what can be learned about economic mobility as measured via transition matrices while formally accounting for measurement error in a reasonably transparent manner. To do so, we develop a nonparametric partial identification approach to bound transition probabilities under various assumptions on the measurement error and mobility processes. This approach is applied to panel data from the United States to explore short-run mobility before and after the Great Recession.     

On the estimation of non linear functions in stochastic volatility models

Abstract

This paper focuses on the inference of suitable generally non linear functions in stochastic volatility models. In this context, in order to estimate the variance of the proposed estimators, a moving block bootstrap (MBB) approach is suggested and discussed. Under mild assumptions, we show that the MBB procedure is weakly consistent. Moreover, a methodology to choose the optimal length block in the MBB is proposed. Some examples and simulations on the model are also made to show the performance of the proposed procedure.     

Visualization of generalized mean estimators using auxiliary information in survey sampling

Abstract

The mean estimators with ratio depend on multiple auxiliary variables and unknown parameters in a finite population setting. We propose a new generalized approach with matrices for modeling the mutivariate mean estimators with two auxiliary variables. Our approach brings naturally a graphical analysis for comparing mean estimators.     

高薪养廉的必要性和约束条件分析

文章首先从政府和公务员之间的委托代理关系、人力资本的消耗和补偿、历史经验三个方面论述了高薪养廉的必要性 ;其次 ,分析了高薪养廉的约束条件 ;最后得出结论 ,高薪只是养廉的必要条件 ,但并非充分条件。它的真正实行 ,不但需要生产力发展的经济基础 ,而且还需要收入分配制度的改革、法律监督机制的健全、官僚机构的自身完善     

大学英语作文非语法错误分析及纠错策略

通过深入分析非英语专业大学生英语作文中出现的内容、篇章结构、语言表达等方面的非语法错误,提出了写前阶段构思、审题技巧训练及寓写作于精读课教学等相应的纠错策略。     

无理数e在电路基本理论中出现的物理意义

对无理数e在电路分析中出现的几个典型例子作了分析讨论，明确指出：由1／e决定的特征常数可以在时间分布上和空间分布上，把一个按指数规律非均匀变化的问题，用一个等效的均匀变化的问题来表示；可以反映初始变化率与最终稳定值之间的联系；可以更深刻地反映某些物理过程的本质特征。     

不动产物权变动登记外的公示方式

按现有立法,不动产物权变动的公示方式均是登记。但立法上却有不登记的例外,实践中也有这种需要。如果法律上能够明确,在一定条件下,不动产的物权变动可以以登记外的公示方式存在,它对于保障交易安全、提高交易效率具有较强的现实意义。为了减少负面效应——实施这种公示方式可能出现的问题,如二重买卖、重复抵押等,可采取相应的措施予以解决。     

大学生思想道德建设的理性思考

目前 ,大学生的思想道德主流是积极、健康、向上的 ;但由于当前各种社会思潮和社会上的思想道德观念多元化的影响 ,不可避免地对青年学生的立场和观念产生了冲击。笔者在分析了当前大学生思想道德现状的基础上 ,找出存在的问题 ,并有针对性地提出了一系列的教育对策 ,以期更好地开展思想教育工作。     

小说的生命叙事与人的生命建构

生命叙事把对人类肉身生存境况的关怀逐步推进到类似宗教境界的精神追求；它描述生命从物质到精神的孕育、产生、冲突、升腾的变化过程，是在对生命现实反思基础上的想像和升华。生命叙事的起点及归宿都是对蓬勃的生命状态的渴望和追求，它把叩问人类心灵的意义、建构理想的生命作为自己的神圣使命。     

On Optimality of Bayesian Wavelet Estimators

Abstract.  We investigate the asymptotic optimality of several Bayesian wavelet estimators, namely, posterior mean, posterior median and Bayes Factor, where the prior imposed on wavelet coefficients is a mixture of a mass function at zero and a Gaussian density. We show that in terms of the mean squared error, for the properly chosen hyperparameters of the prior, all the three resulting Bayesian wavelet estimators achieve optimal minimax rates within any prescribed Besov space     for p  ≥ 2. For 1 ≤  p  < 2, the Bayes Factor is still optimal for (2 s +2)/(2 s +1) ≤  p  < 2 and always outperforms the posterior mean and the posterior median that can achieve only the best possible rates for linear estimators in this case.