澳洲台湾移民居住地选择的初探

本文针对悉尼和布里斯本两个都市之台湾移民的分布及居住迁徙作深入研究。主要透过深入访谈的方法 ,系统性的针对台湾移民选择居住地的因子及决策过程进行探讨 ,并尽量以社会地理学“局内人”的观点 ,架构居住地改变和选择的逻辑来思考整个迁徙过程的机制。研究结果显示 ,随着时间的改变 ,作迁徙决策时所考量的因子也会改变。刚到澳洲时 ,选择居住地的因子主要会考量亲友意见 ;随着经验的累积及对周遭环境的熟悉 ,个别差异性开始凸显 ,每个人对居住地的选择会有不同的考量与分析。在迁居上 ,有向双拼式建筑或都市公寓型房子搬迁的趋势     

On the dynamics of populations with two age groups

By restricting the number of age groups to two and by introducing continued fractions, the dynamics of populations with deterministically changing vital rates are completely specified at all times. Explicit expressions for the sequence of the product of population projection matrices are given. From these, relative age distribution and reproductive values to any desired accuracy are obtained as functions of the vital rates. Thus, the results given in this paper are stronger than any existing weak ergodic theorems.     

Advertising, Individual Consumption Levels, and the Natural Environment, 1900–2000

One central determinant of global environmental change is the continued expansion of personal consumption levels. In order to more fully understand the relationship between consumption and environmental degradation, the determinants of consumption must first be identified. Prior research in this area has focused on economic factors, primarily personal disposable income and population demographic characteristics. The role of cultural factors, including advertising, has been actively mentioned in theoretical analyses of the driving forces of individual consumption. However, this has not been empirically tested. In this article, we conduct an analysis of the impact of advertising on consumption levels in the United States. We start with a theoretical discussion of the literature on advertising and consumption. Based on this literature, we establish three hypotheses regarding the relationship between advertising expenditure and personal consumption. These hypotheses are then tested using time series analysis over the time period 1900–2000. The results show that advertising significantly impacts overall consumption and that these effects vary by type of consumption. We conclude with a discussion of the implications of this analysis for further research into the driving forces of global environmental change.     

Handling Missing Values in Longitudinal Panel Data With Multiple Imputation

This article offers an applied review of key issues and methods for the analysis of longitudinal panel data in the presence of missing values. The authors consider the unique challenges associated with attrition (survey dropout), incomplete repeated measures, and unknown observations of time. Using simulated data based on 4 waves of the Marital Instability Over the Life Course Study (n = 2,034), they applied a fixed effect regression model and an event‐history analysis with time‐varying covariates. They then compared results for analyses with nonimputed missing data and with imputed data both in long and in wide structures. Imputation produced improved estimates in the event‐history analysis but only modest improvements in the estimates and standard errors of the fixed effects analysis. Factors responsible for differences in the value of imputation are examined, and recommendations for handling missing values in panel data are presented.     

The Challenges in Developing an Online Applied Statistics Program: Lessons Learned at Penn State University

Numerous professional fields have an increasing need for individuals trained in statistics and other quantitative analysis techniques. Today there exists great potential to fulfill this need by providing opportunities through online learning. However, to provide a high-quality education for returning adult professionals seeking advanced degrees in applied statistics online, many challenges need to be overcome. Based on our experience developing Penn State University’s online program in applied statistics, we discuss the evolution of the program’s curriculum, recruitment and development of online faculty, and meeting the requirements of students as important areas that require consideration in the development of an online program. We also highlight program evaluation strategies employed to ensure innovation and improvement in online education as cornerstones to a program’s success.