Consumption and poverty in the homes of the English poor,c. 1670–1834

The consumer behaviour of the poor in the long eighteenth century has attracted more historical attention in recent years. Yet, we have little understanding of whether regional factors affected consumption or how the poor’s ownership of household goods was influenced by level of poverty and the life-cycle. By focusing on Kent and drawing comparisons to other counties, this article argues that the material lives of the poor were improving by the late eighteenth century, but finds that there were distinct regional differences as the poor acquired more and better goods in London and the Home Counties than in relatively remote areas. Moreover, by using pauper inventories and labourers’ probate inventories, the research finds that the poor were not a homogeneous group with similar levels of material wealth, but should be considered in terms of different subgroups which often led very different material lives to one another due to life-cycle-related problems including sickness and old age. Labourers’ probate inventories are found to represent a minority of the poor who were materially richer than most, whilst pauper inventories appear to represent a more typical subgroup of the poor that struggled to make do and owned most types of goods in smaller numbers.     

Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction

Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, stored in public repositories. We review applications of a variety of empirical Bayes methods to several well‐known model‐based prediction methods, including penalized regression, linear discriminant analysis, and Bayesian models with sparse or dense priors. We discuss “formal” empirical Bayes methods that maximize the marginal likelihood but also more informal approaches based on other data summaries. We contrast empirical Bayes to cross‐validation and full Bayes and discuss hybrid approaches. To study the relation between the quality of an empirical Bayes estimator and p, the number of variables, we consider a simple empirical Bayes estimator in a linear model setting. We argue that empirical Bayes is particularly useful when the prior contains multiple parameters, which model a priori information on variables termed “co‐data”. In particular, we present two novel examples that allow for co‐data: first, a Bayesian spike‐and‐slab setting that facilitates inclusion of multiple co‐data sources and types and, second, a hybrid empirical Bayes–full Bayes ridge regression approach for estimation of the posterior predictive interval.     

The 2015 welfare reform of the National Basic Livelihood Security System in South Korea: Effects on economic outcomes

In July 2015, South Korea’s National Basic Livelihood Security System (NBLSS) was reformed for the purposes of eliminating welfare blind spots and reducing poverty. The reform is expected to affect the recipients’ economic behaviours and choices. In this study, we used changes in benefits and eligibility for the NBLSS under the customised benefit system to identify the effects of the change in the NBLSS on a proposed set of economic outcomes – income, labour supply, consumption, savings, poverty reduction. To estimate the effects, we used data from the 10th–12th waves of the Korea Welfare Panel Study and employed a difference‐in‐differences framework integrated with the propensity scores. We found that the NBLSS helps the poor to reduce financial and material hardships through income and consumption increments, but that it does not provide disincentives to the recipients from participating in the labour market or from saving.     

Estimation of the marginal expected shortfall under asymptotic independence

We study the asymptotic behavior of the marginal expected shortfall when the two random variables are asymptotic independent but positively associated, which is modeled by the so-called tail dependent coefficient. We construct an estimator of the marginal expected shortfall, which is shown to be asymptotically normal. The finite sample performance of the estimator is investigated in a small simulation study. The method is also applied to estimate the expected amount of rainfall at a weather station given that there is a once every 100 years rainfall at another weather station nearby.     

我国消费需求不足的深层次原因及政策取向

收入决定消费。20世纪90年代中期以后我国消费需求不足的根本原因在于长期以来居民收入增长速度低于GDP增长速度。低收入和高增长构成我国经济运行的典型特征。因此,应努力改变过去那种粗放型经济增长方式,并把提高居民收入作为拉动内需的一项长期发展战略。     

Book Reviews

Books reviewed:
M Hollander and D Wolfe, Nonparametric Statistical Methods
T Leonard and J.S.J Hsu, Bayesian Methods     

Measuring agreement between two statistics with applications to age standardization

Summary.  We detail a general method for measuring agreement between two statistics. An application is two ratios of directly standardized rates which differ only by the choice of the standard. If the statistics have a high value for the coefficient of agreement then the expected squared difference between the statistics is small relative to the variance of the average of the two statistics, and inferences vary little by changing statistics. The estimation of a coefficient of agreement between two statistics is not straightforward because there is only one pair of observed values, each statistic calculated from the data. We introduce estimators of the coefficient of agreement for two statistics and discuss their use, especially as applied to functions of standardized rates.     

林业投资均衡性的理论分析

我国林业投资体制的改革面临着许多新的课题,研究市场经济条件下林业投资状况十分必要。首先,从均衡理论出发,在分析宏观经济政策对林业的影响和林业投资现状基础上,对形成这种状况的主要原因进行了探讨;其次,以林业投资对象为主体,对其微观经济行为的成本与收益问题进行了分析;最后,提出深化林业投资体制改革要促进投资主体多元化,给予林业更多的政策扶持,进一步完善林业法律法规,以促进我国林业持续稳定地发展。     

中国与中亚国家交通运输合作探析

中国新疆与周边国家已开通国际公路客货运输线路101条，铁路运输合作中亚欧第二大陆桥中亚段的运行状况整体良好。与中亚国家交通运输合作的障碍性因素主要表现为：技术性障碍突出，交通运输通而不畅，有效运力不足，运输成本上扬。具备有利的自然条件和发展潜力，建立欧亚陆桥运输走廊的愿景与可能趋向统一，经济全球化和区域经济一体化发展的促进，及良好的政治外交关系的保障，有利于双方共建欧亚大陆无障碍运输畅通走廊愿景的实现。     

传统科技视野下的恐怖主义及其应对

科学技术的发展及其被恶意运用,使当代的恐怖主义活动变得更加复杂多样和令人恐慌.掌握和使用高科技的超级恐怖主义组织的确存在,但对于一般恐怖分子而言,高科技的运用还不大现实.多数情况下,都是传统通用科技引导着普通的恐怖主义活动.恐怖活动与传统通用科技相伴发展的历史事实,表明传统通用科技对恐怖主义与反击恐怖主义双重力量扩张所起的作用,具体体现在武器技术、交通运输和通信技术的应用等方面.科学技术既是恐怖主义盛行的因素,也是恐怖主义的克星,运用高科技手段反击恐怖主义也是我们的必然选择.