明末清初松江府及其周边地区人口损失与历史人口估算

如果以松江府及其周边五州县的明初历史人口数据为计算原点,再以人口增长率3.4‰为基础,便有可能算出明清各时代自然增长下的人口数字。可是如此推算18世纪末的人口,较诸同时期准确的统计人口,竟高出达200多万之谱。要处理这庞大的人口差异,其实就是要说明这数以百万计的人口是如何消失的。我们采取的方法是针对1641年至1680年间四个天灾人祸设定级别而作出微调,从而估算明末该地区的人口损失及人口发展状况。若将有关估算结果继续上推至18世纪末,也与乾嘉时代的统计人口相当吻合。这种方法一如其他估算之道,虽非定论,但可为史无明文但处于非常重要时空的中国历史人口,提供一个新的推算方法。此外,以我们的方法计算,1640年左右松江府及周边州县的人口已达500万之谱,这与乾嘉盛世同地区的人口相比,可谓毫不逊色。     

Examining the Relationship between Domestic Violence and Depression among Koreans: The Role of Self‐esteem and Social Support as Mediators

Domestic violence is a prevalent social issue in Korea affecting a significant number of people every day. It is thus important to examine how the experience of domestic violence affects their mental health to better address their needs. Using stress‐coping theory as a theoretical framework, this study examines the domestic violence and depression relationship among Korean men and women. Two aspects of self‐esteem and informal and formal social support are examined as potential mediators of this relationship. The data was the first wave of Korean Welfare Panel Study data including 2477 individuals with experiences of abuse. Structural equation modeling procedures were used for analyses. Domestic violence was significantly associated with self‐worth, self‐deprecation, and depression. The experiences of violence eroded self‐worth while reinforcing self‐deprecation and those with more exposure to violence showed a higher level of depression. Self‐deprecation played a significant role in mediating the effect of domestic violence on depression. However, different findings were yielded for social support. While informal social support was significantly associated with domestic violence, formal social support was not associated with domestic violence. Findings suggest for mental health interventions targeting self‐esteem, particularly the diminution of self‐deprecation in working with the victims. Suggestions for future research and implications for social work are also discussed.     

Behavioral Economics and Regulatory Analysis

Behavioral economics has captured the interest of scholars and the general public by demonstrating ways in which individuals make decisions that appear irrational. While increasing attention is being focused on the implications of this research for the design of risk‐reducing policies, less attention has been paid to how it affects the economic valuation of policy consequences. This article considers the latter issue, reviewing the behavioral economics literature and discussing its implications for the conduct of benefit‐cost analysis, particularly in the context of environmental, health, and safety regulations. We explore three concerns: using estimates of willingness to pay or willingness to accept compensation for valuation, considering the psychological aspects of risk when valuing mortality‐risk reductions, and discounting future consequences. In each case, we take the perspective that analysts should avoid making judgments about whether values are “rational” or “irrational.” Instead, they should make every effort to rely on well‐designed studies, using ranges, sensitivity analysis, or probabilistic modeling to reflect uncertainty. More generally, behavioral research has led some to argue for a more paternalistic approach to policy analysis. We argue instead for continued focus on describing the preferences of those affected, while working to ensure that these preferences are based on knowledge and careful reflection.     

Moments of the function of non-normal random vector with applications to econometric estimators and test statistics 1

In this paper we have provided a general result on the moments of a function of nonnormal random vector. The results for the normal case follow as a special case of this result. It is also indicated that the moments of a large class of econometric estimators and test statistics can be obtained by using our general result. This includes least squares estimator in the dynamic model, unit root tests, and the two step semiparametric estimators, among others.     

Bayes Analysis and Comparison of Accelerated Weibull and Accelerated Birnbaum–Saunders Models

Several models are proposed in the literature for modeling fatigue data resulting from materials subject to cyclic stress and strain. Accelerated Weibull and accelerated Birnbaum–Saunders distributions are most commonly used models. Whereas the accelerated Weibull model is easier compared to accelerated Birnbaum–Saunders, it fails to represent the situation equally well. The present article focuses on Bayes analysis of the two models and provides a comparison based on some important Bayesian tools. Model compatibility study using predictive simulation ideas is preceded by the said comparison. Throughout, the posterior simulations are carried out by Markov chain Monte Carlo procedure.     

Further results on the trace of a noncentral wishart matrix

In an earlier article Mathai (1980) has given compact representations for the moments and cumulants of the trace of a noncentral Wishart matrix. He has also shown that (trA-ntr;∑)/(2ntri∑²)172. is asymptotically standard normal where A is a noncentral wishart matrix with n degrees of freedom and covariance matrix [0, In the present article explicit expressions for the exact density of the trace are given in terms of confluent hypergeometric functions and in terms of zonal polynomials for the general case and as finite sums when the sample size is odd. As a consequence of some of these representations some summation formulae for zonal polynomials are also given     

Bayesian outlier testing using the predictive distribution for a linear model op constant intraclass form

The problem of testing suspected outliers from a linear model with constant intraclass correlation is considered from a Bayesian viewpoint. The main objective of this paper is to develop an outlier test procedure based on the predictive distribution of suspected outlier observations given a set of existing inlier observations. The test procedure is easily performed with the usual F and t distributions.     

Locally quadratic log likelihood and data-based transformations

The investigation of multi-parameter likelihood functions is simplified if the log likelihood is quadratic near the maximum, as then normal approximations to the likelihood can be accurately used to obtain quantities such as likelihood regions. This paper proposes that data-based transformations of the parameters can be employed to make the log likelihood more quadratic, and illustrates the method with one of the simplest bivariate likelihoods, the normal two-parameter likelihood.     

Evaluation of scientific merit in col laboratories: A new look at an old question

What role can information science play in promoting public understanding of science and technology? In order to answer this question, it is important to understand the new perspective which is emerging for research in the information science field. Internet, and the information superhighways announced both in Europe and the United States, are increasingly focusing attention on computer‐mediated communication within research communities. “Collaboratories”; is the name given to work aimed at using computer‐based technologies to help promote the social processes of knowledge production. One goal of information science lies in efforts to measure the contribution of technical devices to knowledge production practices. This is called infometrics research; it requires a clear understanding of how the social system of science regulates information flows to promote these practices.     

The rank distribution of the maximin in a random matrix

Let S be a set of tm distinct real numbers and R a random t × m matrix of these tm numbers with rows {r_i} and columns (c_i}. Define b = Max Min x. l≤i≤t x?r_i. Let c be the event Max Min x = Min Max x. l≤i≤t x?r_i l≤i≤m x?c_i. This paper derives the probability distribution of the rank of b in S, as well as the same distribution conditional on c.