Who Settles for Less? Subjective Dispositions,Objective Circumstances,and Housing Satisfaction

In recent years there has been growing interest in individuals’ self-perceptions of their wellbeing on the grounds that these complement well-established objective indicators of welfare. However, individuals’ assessments depend on both objective circumstances and subjective, idiosyncratic dispositions, such as aspirations and expectations. We add to the literature by formulating a modelling strategy that uncovers how these subjective dispositions differ across socio-demographic groups. This is then tested using housing satisfaction data from a large-scale household panel survey from Australia. We find that there are significant differences in the way in which individuals with different characteristics rate the same objective reality. For instance, male, older, migrant, and Indigenous individuals rate equal housing conditions more favourably than female, younger, Australian-born, and non-Indigenous individuals. These findings have important implications for how self-reported housing satisfaction, and wellbeing data in general, are to be used to inform evidence-based policy.     

Exploratory factor and principal component analyses: some new aspects

Exploratory Factor Analysis (EFA) and Principal Component Analysis (PCA) are popular techniques for simplifying the presentation of, and investigating the structure of, an (n×p) data matrix. However, these fundamentally different techniques are frequently confused, and the differences between them are obscured, because they give similar results in some practical cases. We therefore investigate conditions under which they are expected to be close to each other, by considering EFA as a matrix decomposition so that it can be directly compared with the data matrix decomposition underlying PCA. Correspondingly, we propose an extended version of PCA, called the EFA-like PCA, which mimics the EFA matrix decomposition in the sense that they contain the same unknowns. We provide iterative algorithms for estimating the EFA-like PCA parameters, and derive conditions that have to be satisfied for the two techniques to give similar results. Throughout, we consider separately the cases n>p and p≥n. All derived algorithms and matrix conditions are illustrated on two data sets, one for each of these two cases.     

FOREIGN BANKS AND THE BANK LENDING CHANNEL

We provide new evidence on bank ownership and transmission of monetary policy using bank‐level data on 453 banks in Central and Eastern European economies between 1998 and 2012. Only domestic banks adjust loans to changes in monetary policy, while foreign banks do not. Conventional wisdom says that this is because foreign banks can rely on parent banks' funding to insulate against monetary policy shocks. In this paper we document an alternative explanation. Deposits in foreign banks do not react to monetary policy, hence the bank lending channel is only triggered in domestic banks. (JEL E50, F36, G21)     

The effects of data input errors on subsequent statistical inference

Data input errors can potentially affect statistical inferences, but little research has been published to date on this topic. In the present paper, we report the effect of data input errors on the statistical inferences drawn about population parameters in an empirical study involving 280 students from two Polish universities, namely the Warsaw University of Life Sciences – SGGW and the University of Information Technology and Management in Rzeszow. We found that 28% of the students committed at least one data error. While some of these errors were small and did not have any real effect, a few of them had substantial effects on the statistical inferences drawn about the population parameters.     

An alternative measure of social wellbeing: analysing the key conceptual and statistical components of quality of life

Statisticians, policy makers and social researchers widely accept that there is a need to consider a more nuanced range of measures of quality of life that move beyond the economic domain and that take into account key aspects of an individual's life circumstances. Using data from an Australian household survey, a composite Wellbeing Index was created that covered objective circumstances, with known associations to wellbeing, evaluated from the individual's subjective viewpoint. The robustness of the measure comes from the fact that while covering a broad range of key dimensions, the index only includes the items deemed important components of wellbeing by a majority of respondents. The index was then used to explore the extent to which wellbeing is associated with other dimensions of quality of life that have currency in the contemporary literature. The study contributes to the contemporary debate on social wellbeing and adds new Australian evidence to a body of research that has been mainly based on European and American data.     

Young,anchored and free? Examining the dynamics of early housing pathways in Australia

Young people are remaining in the parental home for longer, and returning there more often, before attaining residential independence. In Australia, these patterns have prompted concerns about a ‘boomerang generation’ whose housing aspirations and decisions have either been directly questioned, or viewed as symptomatic of broader affordability issues. Employing a longitudinal perspective, we argue that early residential pathways reflect a mix of stable and dynamic influences involving individuals, their families, and their broader relationships. Using data from a large cohort (n = 2082) of young Australians participating in the ‘Our Lives’ research project, we examine housing pathway formation between the ages of 12/13 and 21/22. Events such as parental union dissolution or partnership formation were found to encourage home leaving, whilst being employed at a younger age and having grown up rurally predicted both leaving and remaining out of home. Close, supportive relationships with family and friends served to ‘anchor’ respondents at home for longer, and parental socioeconomic resources enabled respondents to leave home and return if needed. The findings suggest that early residential independence reflects various factors, not all of which are in young people’s control, and some of which may hinder the longer term sustainability of their living arrangements.     

Best practices for physical activity programs and behavior counseling in older adult populations

Physical activity offers one of the greatest opportunities for people to extend years of active independent life and reduce functional limitations. The article identifies key practices for promoting physical activity in older adults, with a focus on those with chronic disease or low fitness and those with low levels of physical activity. Key practices identified: (a) A multidimensional activity program that includes endurance, strength, balance, and flexibility training is optimal for health and functional benefits; (b) principles of behavior change including social support, self-efficacy, active choices, health contracts, assurances of safety, and positive reinforcement enhance adherence; (c) manage risk by beginning at low intensity but gradually increasing to moderate physical activity, which has a better risk:benefit ratio and should be the goal for older adults; (d) an emergency procedure plan is prudent for community-based programs; and (e) monitoring aerobic intensity is important for progression and motivation. Selected content review of physical activity programming from major organizations and institutions is provided.     

Uneven impacts of COVID-19 on the attendance rates of secondary school students from different socioeconomic backgrounds in Australia: A quasi-experimental analysis of administrative data

This paper contributes to the growing body of research that demonstrates uneven impacts of the COVID-19 pandemic on educational outcomes of students from different socioeconomic status (SES) backgrounds. We evaluate the early impacts of COVID-19 on student attendance in secondary school and show how these impacts depend on students' SES. We employ a quasi-experimental design, using difference-in-differences (DiD) estimation extended to incorporate third-order differences over time between low-SES and other students, and pre- versus during-COVID-19, leveraging robust administrative data extracted from the registers of the Tasmanian Department of Education. Using data from multiple cohorts of secondary school students in government schools in Tasmania (N = 14,135), we find that while the attendance rates were similar pre- and during-COVID-19 for high-SES students, there was a significant drop in attendance rates during COVID-19 among socioeconomically disadvantaged students, demonstrating the more pronounced impacts of COVID-19 for these students. The findings demonstrate that even “relatively short” lockdowns, as those in Tasmania in 2020 (30–40 days of home learning), can significantly affect the learning experiences of students from socioeconomically disadvantaged backgrounds. We discuss the implications of this for future pandemic planning in educational policy and practice and how this needs to be addressed in Australia's COVID-19 recovery.     

Neighborhood influences on physical activity in middle-aged and older adults: a multilevel perspective

Over the past few years, attention has been drawn to the importance of neighborhood influences on physical activity behavior and the need to consider a multilevel analysis involving not only individual-level variables but also social- and physical-environment variables at the neighborhood level in explaining individual differences in physical activity outcomes. This new paradigm raises a series of issues concerning systems of influence observed at different hierarchical levels (e.g., individuals, neighborhoods) and variables that can be defined at each level. This article reviews research literature and discusses substantive, operational, and statistical issues in studies involving multilevel influences on middle-aged and older adults' physical activity. To encourage multilevel research, the authors propose a model that focuses attention on multiple levels of influence and the interaction among variables characterizing individuals, among variables characterizing neighborhoods, and across both levels. They conclude that a multilevel perspective is needed to increase understanding of the multiple influences on physical activity.