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.     

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.     

The residual effect of a growth-decay mechanism and the distributions of covariance structures

The product of two independent or dependent scalar normal variables, sums of products, sample covariances, and general bilinear forms are considered. Their distributions are shown to belong to a class called generalized Laplacian. A growth-decay mechanism is also shown to produce such a generalized Laplacian. Sets of necessary and sufficient conditions are derived for bilinear forms to belong to this class. As a generalization, the distributions of rectangular matrices associated with multivariate normal random vectors are also discussed.     

缩小城乡差距统筹城乡发展问题研究

笔者系统总结了我国城乡差距、城乡关系失调的具体表现,并进一步分析了城乡发展差距过大对国民经济和社会发展的影响以及统筹城乡发展的现实意义,继而从改革城乡分治的管理体制,加快城镇化进程,推动城乡联动的工业化路线等方面提出了统筹城乡发展的对策建议。     

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。     

社会民主主义复兴的两种模式比较

20世纪90年代在社会民主主义复兴的过程中,英国和法国由于竞选方式、政策策略等一系列方面存在显著差别,被认为是社会民主主义复兴的两种典型模式,对英国道路与法国道路的相同之处和不同之处进行比较,说明二者存在共同性和差异性的原因。     

同质异趣色彩纷呈--莫泊桑与欧·亨利短篇小说布局艺术比较

个性是创作的生命。尽管莫泊桑和欧·亨利同是短篇小说大师,都以布局的精致巧妙而著称,但他们在创作上却是各自发挥他们独有的艺术魅力,显示出其独特的创作个性和风格,两人的创作,无论是从情节的设置、结尾艺术,还是叙述方式等方面,在有着外在相似性的同时,还有着内在的相通与相异。     

“袖”在中、朝舞蹈作品中运用异同之管见

"袖"舞是东方舞蹈的一大创造."袖"的运用,除延长了人的肢体,大大扩展了身体的表现力外,还通过舞者手臂、手腕、腰腹、身肢等不同力量、不同幅度的运动,使"袖"缭绕空际,变幻着无数的形态,其传情丰富、鲜明,超过了许多表情手段."袖"的徐缓、抑扬、飘忽、回旋所产生的形式美,完全可以把人们引入一个非物质的境界之中,赋予"袖"舞以人文精神内涵和意蕴,展现了"袖"舞的魅力和光环.     

开放式数控切割机神经网络误差补偿研究

分析了影响数控火焰切割机加工精度的主要因素,利用开放式数控系统的软件开放性,提出了采用IGCAQBP学习算法的神经网络方法来对包括金属热变形、机械传动误差等非线性因素在内的多种因素造成的加工误差进行误差补偿,设计了嵌入开放式数控系统中的神经网络误差补偿器,给出了实用的补偿器使用方法,并对误差补偿功能进行了扩展,仿真结果和实际应用表明该方法稳定有效。     

串联稳压器基准误差放大电路的设计

针对串联型稳压器,设计了一种应用于串联型稳压器具有自建基准的新型误差放大电路。该电路具有构思巧妙,结构优化,易于集成及较高的开环增益,共模抑制比及交流特性的优点。通过验证,实测数据与仿真结果基本一致。