壮族的民间信仰与民俗医疗

壮族的传统医药文化非常丰富,民间至今依然盛行与宗教信仰密切相关的“神药两解”的民俗医疗方法。笔者在田野调查中发现,壮族乡村的病人在积极寻求药物治疗的同时,还借助麽公、囊妹、道士等神职人员施行各种仪式来治病,且往往能取得意想不到的效果。本文拟从田野资料出发,借鉴医学人类学的相关理论,以目前壮族农村盛行的巫术与祝由疗法为例,来探讨壮族的民间信仰与民俗医疗的关系。     

行业干中学、市场规模与市场结构——中国微观制造企业的实证研究

本文使用中国制造业微观企业1999至2007年的大样本数据,探讨干中学在市场规模扩张的过程中对市场结构动态变化的影响。研究发现,干中学有助于提高行业市场集中度的下限;其次,在较低的干中学行业中,随着市场规模的增加,行业会形成无序的片状的市场结构,行业集中度极度分散;然后,在动态的市场结构中,行业的干中学效应有助于缓解市场结构扩散,使行业市场结构的变动保持一种"粘性";最后,在很高的干中学行业中,行业的市场集中度会呈现U型的态势,当市场规模达到最佳市场规模后,行业的市场集中度开始上升,此时,内生的市场壁垒会催生行业的市场势力。     

Projection‐Based Statistical Inference in Linear Structural Models with Possibly Weak Instruments

It is well known that standard asymptotic theory is not applicable or is very unreliable in models with identification problems or weak instruments. One possible way out consists of using a variant of the Anderson–Rubin ((1949), AR) procedure. The latter allows one to build exact tests and confidence sets only for the full vector of the coefficients of the endogenous explanatory variables in a structural equation, but not for individual coefficients. This problem may in principle be overcome by using projection methods (Dufour (1997), Dufour and Jasiak (2001)). At first sight, however, this technique requires the application of costly numerical algorithms. In this paper, we give a general necessary and sufficient condition that allows one to check whether an AR‐type confidence set is bounded. Furthermore, we provide an analytic solution to the problem of building projection‐based confidence sets from AR‐type confidence sets. The latter involves the geometric properties of “quadrics” and can be viewed as an extension of usual confidence intervals and ellipsoids. Only least squares techniques are needed to build the confidence intervals.     

关于完善我国夫妻财产制的几点看法

1980年《婚姻法》所规定的夫妻财产制已不能适应现实的需要。本文在分析国外相关立法经验的基础上,指出建立我国多形式的夫妻财产制的必要性,并就司法实践中存在的主要难点进行了探讨,提出了解决的途径。     

大数据在重大行政决策中的应用及其法治化

大数据在重大行政决策领域的应用,属于技术理性与决策规则的有机融合。凭借信息来源与技术革新,大数据可赋予传统决策向数字化转型的新动能。大数据的应用贯穿于重大行政决策始终,在市场监管、环境保护等多类事项中所发挥的实践优势较为明显,能够推动决策的高效化、提升决策的精准度、增强决策机关之间的联动。然而,大数据应用可能会引发决策安全的隐忧、个人数据存在的空间被挤压以及决策失误的责任承担等难题。对前述问题提出对策的过程,实乃数据治理向治理数据的转变,此阶段不能欠缺法律法规的引导,应尝试从决策数据安全体系的法治保障、个人数据的法律保护、决策责任追究机制的科学建构等层面去推动大数据应用的法治化。     

魏晋哲学新变与礼乐建构

魏晋既是中国思想史变革最为剧烈的时段,也是传统礼乐观念的重要调试期。玄学作为礼乐变革的背景,它很好地应对了轴心时代以来儒、道两家在言与意、有与无等问题上的分歧,并进行了哲学性弥合。玄学家对有的肯定,为儒家礼乐(广义)信仰的延续、礼乐(狭义)内涵的升华提供了空间。就前者而言,尽管何晏、王弼、郭象等人思想有所差异,但都表现出对礼乐形态的肯定;就后者而言,玄学家通过以自然内涵置换道德内涵的方式,赋予狭义礼乐新意,使其获得了本体论和价值论的合法性,并实现了与时代雅乐建设实践的互通。     

农村居民消费不平等的微观结构分析

提出了个体微观数据基尼系数的组群、要素统一分解式,并利用该分解式考察消费结构、区域结构和收入不平等对农村居民消费不平等的影响.采用了2009年福建省农村居民生活状况调查数据进行分析,得出结论:食品、衣着类消费的增长可以降低农村居民的消费不平等,其中谷物、薯类、食用油、蔬菜及制品、肉禽蛋奶及制品的消费增长对消费公平性的提高产生积极的作用;组内不平等在总体消费不平等中占80％以上,消费差异主要表现为内部的差异;农村居民的消费不平等受收入不平等影响显著.     

On the choice of instruments in mixed frequency specification tests

Abstract

Time averaging has been the traditional approach to handle mixed sampling frequencies. However, it ignores information possibly embedded in high frequency. Mixed data sampling (MIDAS) regression models provide a concise way to utilize the additional information in high-frequency variables. In this paper, we propose a specification test to choose between time averaging and MIDAS models, based on a Durbin-Wu-Hausman test. In particular, a set of instrumental variables is proposed and theoretically validated when the frequency ratio is large. As a result, our method tends to be more powerful than existing methods, as reconfirmed through the simulations.     

Demystifying the Integrated Tail Probability Expectation Formula

ABSTRACT

Calculating the expected values of different types of random variables is a central topic in mathematical statistics. Targeted toward students and instructors in both introductory probability and statistics courses and graduate-level measure-theoretic probability courses, this pedagogical note casts light on a general expectation formula stated in terms of distribution and survival functions of random variables and discusses its educational merits. Often consigned to an end-of-chapter exercise in mathematical statistics textbooks with minimal discussion and presented under superfluous technical assumptions, this unconventional expectation formula provides an invaluable opportunity for students to appreciate the geometric meaning of expectations, which is overlooked in most undergraduate and graduate curricula, and serves as an efficient tool for the calculation of expected values that could be much more laborious by traditional means. For students’ benefit, this formula deserves a thorough in-class treatment in conjunction with the teaching of expectations. Besides clarifying some commonly held misconceptions and showing the pedagogical value of the expectation formula, this note offers guidance for instructors on teaching the formula taking the background of the target student group into account.