Measuring the Implications of Sales and Consumer Inventory Behavior

Temporary price reductions (sales) are common for many goods and naturally result in large increases in the quantity sold. Demand estimation based on temporary price reductions may mismeasure the long‐run responsiveness to prices. In this paper we quantify the extent of the problem and assess its economic implications. We structurally estimate a dynamic model of consumer choice using two years of scanner data on the purchasing behavior of a panel of households. The results suggest that static demand estimates, which neglect dynamics, (i) overestimate own‐price elasticities by 30 percent, (ii) underestimate cross‐price elasticities by up to a factor of 5, and (iii) overestimate the substitution to the no‐purchase or outside option by over 200 percent. This suggests that policy analysis based on static elasticity estimates will underestimate price–cost margins and underpredict the effects of mergers.     

试论工业经济效益指标体系的建立和完善

提高经济效益是我国全部经济工作的中心环节,也是整个经济持续发展的关键问题。建立一套科学合理的工业企业经济效益指标体系,不仅能比较全面地看清企业的现状,还能促进企业改进工作,提高效益,起到一种导向的作用。     

Addiction severity predictions using client network properties

By statistical analysis of client data it is shown how past or current network information together with other knowledge assesses treatment needs. The main findings are as follows. The client's previous exposure to addicts in the family has almost no influence on his or her present contacts with addicts in daily life. About 30% of the clients have experienced addicts both in family and among friends, about 30% have only family exposure, about 20% have neither kind of exposure, and about 20% have no family exposure but have current exposure to addicts. Exposure to addicts in family implies a higher risk of severe need for professional intervention than no such exposure. For the clients with no family exposure but with current exposure to addicts there is, somewhat surprisingly, a lower risk than for the other three categories of clients. This effect seems to be mainly because the psychiatric status of these clients is somewhat better than for those in the other three categories. The effect disappears if we look solely for drug addiction intervention needs; then there is a clear increase in relative treatment needs for the categories with previous or present addiction exposure compared to those without.     

RMI指标确定岩体经验参数m,s的方法

Hoek -Brown准则是国际著名的岩体经验强度准则 ,精确确定经验参数m ,s是正确应用该准则的关键。在简单介绍经验强度准则和RMI分类指标的基础上 ,阐述了由RMI指标确定经验参数m ,s的方法     

要素均衡： 人类发展指数的算法改进与实证研究

 人类发展指数是一个影响很大、应用很广的衡量人类发展成就的综合指标,但其传统算法存在两个统计缺陷：其一是缺乏对各向度本身的分布敏感性;其二是没有考虑各向度之间的均衡性。本文以后者为针对,采用测度准则法,提出一种以要素均衡为导向的人类发展指数改进法。实证显示,与人类发展指数的传统及现行算法相比较,此改进既能更好地体现人类发展的要义,也可提高人类发展指数的统计鉴别力,所以可用作计算人类发展指数的一种新选择。     

股票价格波动与宏观经济波动

本文从理论和实证两方面分析股票价格波动与宏观经济波动的关系,得出股票价格波动与宏观经济波动存在相关性,股票价格作为宏观经济的先行指标,已成为影响货币政策的外部因素的结论。尽管目前中国的股票价格波动与宏观经济波动呈现异动性,但中央银行也应关注股票价格波动。     

基尼系数的区间估计及其应用

 本文给出了收入为离散分布的三种计算基尼系数的新方法。利用收入份额法导出了基尼系数协方差算法的离散形式,并因此产生了计算基尼系数的回归系数法。文章重点讨论了基尼系数进行区间估计的两种方法,这些方法也适用于集中度指数,因而它们在测度社会经济领域的不平等中具有着十分广泛的用途。实际应用表明,新算法有效地简化了对基尼系数区间估计的标准差估算。     

The True Cost-of-Living Index With Changing Preferences

This article investigates the theoretical and empirical properties of a true cost-of-living index under conditions of changing preferences. A family of true indexes is defined based on the notion of the current utility function. A particular index, based on the previous period's utility level, is then defined. Given this definition, a true cost-of-living index is computed based on a quadratic expenditure system estimated with quarterly data from 1960–1981. For empirical purposes, changes in preferences are represented by the linear habit formation hypothesis. This index is then compared with Paasche and Laspeyres indexes. The true cost-of-living index grows somewhat faster than either the Paasche or Laspeyres index. It also displays considerably more variability.     

Bayesian estimation for the Pareto income distribution

The Bayes estimators of the Gini index, the mean income and the proportion of the population living below a prescribed income level are obtained in this paper on the basis of censored income data from a pareto income distribution. The said estimators are obtained under the assumptions of a two-parameter exponential prior distribution and the usual squared error loss function. This work is also extended to the case when the income data are grouped and the exact incomes for the individuals in the population are not available. The method for the assessment of the hyperparameters is also outlined. Finally, the results are generalized for the doubly truncated gamma prior distribution. Now deceased.     

Psychosocial risk factors for excessive gestational weight gain: A systematic review

BackgroundExcessive weight gain during pregnancy can have adverse health outcomes for mother and infant throughout pregnancy. However, few studies have identified the psychosocial factors that contribute to women gaining excessive weight during pregnancy.AimTo review the existing literature that explores the impact of psychosocial risk factors (psychological distress, body image dissatisfaction, social support, self-efficacy and self-esteem) on excessive gestational weight gain.MethodsA systematic review of peer-reviewed English articles using Academic Search Complete, Cumulative Index to Nursing and Allied Health Literature, MEDLINE Complete, PsycINFO, Informit, Web of Science, and Scopus was conducted. Quantitative studies that investigated psychosocial factors of excessive GWG, published between 2000 and 2014 were included. Studies investigating mothers with a low risk of mental health issues and normally-developing foetuses were eligible for inclusion. From the total of 474 articles located, 12 articles were identified as relevant and were subsequently reviewed in full.FindingsSignificant associations were found between depression, body image dissatisfaction, and social support with excessive gestational weight gain. No significant relationships were reported between anxiety, stress, self-efficacy, or self-esteem and excessive gestational weight gain.ConclusionThe relationship between psychosocial factors and weight gain in pregnancy is complex; however depression, body dissatisfaction and social support appear to have a direct relationship with excessive gestational weight gain. Further research is needed to identify how screening for, and responding to, psychosocial risk factors for excessive gestational weight gain can be successfully incorporated into current antenatal care.