Estimation in capture–recapture models when covariates are subject to measurement errors and missing data

For capture–recapture models when covariates are subject to measurement errors and missing data, a set of estimating equations is constructed to estimate population size and relevant parameters. These estimating equations can be solved by an algorithm similar to the EM algorithm. The proposed method is also applicable to the situation when covariates with no measurement errors have missing data. Simulation studies are used to assess the performance of the proposed estimator. The estimator is also applied to a capture–recapture experiment on the bird species Prinia flaviventris in Hong Kong. The Canadian Journal of Statistics 37: 645–658; 2009 © 2009 Statistical Society of Canada     

Link-tracing sampling with an initial sequential sample of sites: Estimating the size of a hidden human population

We proposed a modification to the variant of link-tracing sampling suggested by Félix-Medina and Thompson [M.H. Félix-Medina, S.K. Thompson, Combining cluster sampling and link-tracing sampling to estimate the size of hidden populations, Journal of Official Statistics 20 (2004) 19–38] that allows the researcher to have certain control of the final sample size, precision of the estimates or other characteristics of the sample that the researcher is interested in controlling. We achieve this goal by selecting an initial sequential sample of sites instead of an initial simple random sample of sites as those authors suggested. We estimate the population size by means of the maximum likelihood estimators suggested by the above-mentioned authors or by the Bayesian estimators proposed by Félix-Medina and Monjardin [M.H. Félix-Medina, P.E. Monjardin, Combining link-tracing sampling and cluster sampling to estimate the size of hidden populations: A Bayesian-assisted approach, Survey Methodology 32 (2006) 187–195]. Variances are estimated by means of jackknife and bootstrap estimators as well as by the delta estimators proposed in the two above-mentioned papers. Interval estimates of the population size are obtained by means of Wald and bootstrap confidence intervals. The results of an exploratory simulation study indicate good performance of the proposed sampling strategy.     

中国各民族人口发展状况的度量

人口是社会生活的主体,人口发展是社会发展的重要组成部分。但度量社会发展的方法还存在一些难以解决的问题。利用现有的评价方法,尚不能全面准确地反映中国各民族人口发展的现状。为了更加全面准确地把握人口发展状态,构建了衡量人口发展的指标体系,按照这个指标体系,分析中国各民族人口的发展现状、各民族在发展过程中所处的位置,以及他们目前存在的突出问题。     

甘肃省人口压力评估指标及定量评估研究

在对传统人口压力评价指标体系评述的基础上,将无形资源纳入人口压力评价指标体系,根据2006年甘肃省统计资料。对全省81个县级行政区划单位的人口压力进行赋值与量化。结果表明甘肃省人口压力量化值呈正态分布．有形资源与无形资源都丰富的地区人口压力较小,人口压力与社会经济发展水平密切相关。实现甘肃社会经济的可持续发展．必须注重人口压力区域差异的合理调控。     

宁夏人口与生态环境面临的问题及对策

宁夏是少数民族地区,较为宽松的生育政策。导致人口快速增殖。由于宁夏所处的地理位置和历史遗留的生态债务使得境内生态环境十分脆弱。尤其是人口过度增殖已超出了刚性土地资源的有效容纳力。这不仅给环境造成了巨大压力,也进一步加剧了生态环境的恶化。本文通过大量统计数据和实地调研。分析了近年来宁夏人口与生态环境之间存在的亟待解决的矛盾和问题。分析表明,当前宁夏尤其是宁南山区人口数量与人口素质、人口数量与生态存量和生态消费之间表现出了明显的此长彼消的关系。在分析的基础上．提出了人口与生态环境建设方面的政策建议。     

退休年龄对劳动参与率的影响

自1951年以来。中国的退休政策并未随着平均寿命、经济发展等情况的变化做出大的改变。每年有成千上万的老年劳动者,在其仍有劳动意愿和劳动能力的情况下,因为政策的规定离开工作岗位。过低的退休年龄使得我国的劳动参与率被潜在的低估,如果调整现行退休政策,将修正劳动参与率、减少“人口负债”期问题、缓解未来养老金收支失衡压力和挤压劳动力市场。     

流动人口计划生育管理服务体系的缺陷与对策

流动人口计划生育管理服务工作是当前我国人口计生工作的难点。通过论述我国流动人口计划生育管理服务体系存在的理论缺陷、管理体制缺陷、融入缺陷、制度缺陷、机制缺陷、资源缺陷和手段缺陷,从战略层面、发展层面、工作层面提出提高流动人口计划生育管理服务效能的系列对策,以期能够破解困扰全国多年的流动人口计划生育管理服务难题。     

贵州乡村旅游文化资源与乡村人口传统文化素质探析

本文从人口学、社会学及民族学等学科视角,以学界鲜有涉足的“人口传统文化素质”作为切入点。探究贵州乡村旅游与乡村人口传统文化素质的互动关系．以及如何通过提高乡村人口传统文化素质来促进贵州乡村文化旅游资源的开发。以期为贵州旅游事业与乡村人口的全面发展提供有益思路。     

Community-Based Services and Depression from Person-Environment Fit Perspective: Focusing on Functional Impairments and Living Alone

ABSTRACT

Guided by the Person-Environment Fit perspective, we investigated the extent to which personal and environmental factors influence depression among community-dwelling adults. The data came from the special section about community-based service utilization in the 2012 Health and Retirement Study (N=1,710). Although community-based service was not significantly associated with depression after controlling for covariates, respondents with functional limitations and living alone were less likely to be depressed when using community-based services. This study demonstrates the different associations between community-based services and depression depending on personal needs. It discusses the importance of community-based services for aging-in-place policy, particularly among vulnerable populations.     

A stratified unrelated question randomized response model using Neyman allocation

This paper applies stratified random sampling using Neyman allocation to Mangat et al. (1992 Mangat, N.S., Singh, R., Singh, S. (1992). An improved unrelated question randomized response strategy. Cal. Stat. Assoc. Bull. 42:277–281.[Crossref] , [Google Scholar]) unrelated question randomized response (RR) strategy for both completely truthful reporting and less than completely truthful reporting. It is shown that, for the prior information given, our new model is more efficient in terms of variance (in the case of completely truthful reporting) and mean square error (in terms of less than completely truthful reporting) than Kim and Elam's (2007 Kim, J.M., Elam, M.E. (2007). A stratified unrelated question randomized response model. Stat. Papers 48:215–233.[Crossref], [Web of Science ®] , [Google Scholar]) model. Numerical illustrations and graphs are also given in support of the present study.