Initiating Senior Co-Housing: People,Place, andLong-Term Security

Abstract

An increasing proportion of older people are unable to afford rental or purchase of age-appropriate residential accommodation in Australia. This article reports on a community-initiated research project investigating feasibility of affordable co-housing for older residents wishing to age in their community. Factors enabling successful co-housing for seniors were investigated through a systematic literature review. The multiphase participatory research approach drew on the knowledge of local seniors, community support workers, and planning and design professionals through workshops and interviews in a regional community in southeast Queensland. The findings demonstrate interest in and barriers to senior co-housing. The research engagement approach enables tailored solutions for individual long-term security, relevant to small communities in Australia.     

"Macho men" and preventive health care: implications for older men in different social classes

The gender paradox in mortality--where men die earlier than women despite having more socioeconomic resources--may be partly explained by men's lower levels of preventive health care. Stereotypical notions of masculinity reduce preventive health care; however, the relationship between masculinity, socioeconomic status (SES), and preventive health care is unknown. Using the Wisconsin Longitudinal Study, the authors conduct a population-based assessment of masculinity beliefs and preventive health care, including whether these relationships vary by SES. The results show that men with strong masculinity beliefs are half as likely as men with more moderate masculinity beliefs to receive preventive care. Furthermore, in contrast to the well-established SES gradient in health, men with strong masculinity beliefs do not benefit from higher education and their probability of obtaining preventive health care decreases as their occupational status, wealth, and/or income increases. Masculinity may be a partial explanation for the paradox of men's lower life expectancy, despite their higher SES.     

Retailer Transshipment versus Central Depot Allocation for Supply Network Design

We consider a supply chain structure with shipments from an external warehouse directly to retailers and compare two enhancement options: costly transshipment among retailers after demand has been realized vs. cost‐free allocation to the retailers from the development of a centralized depot. Stochastic programming models are developed for both the transshipment and allocation structures. We study the impact of cost parameters and demand coefficient of variation on both system structures. Our results show an increasing convex relationship between average costs and demand coefficient of variation, and furthermore that this increase is more pronounced for the allocation structure. We employ simulation and nonlinear search techniques to computationally compare the cost performance of allocation and transshipment structures under a wide range of system parameters such as demand uncertainty and correlation; lead times from the external warehouse to retailers, from warehouse to central depot, and from depot to retailers; and transshipment, holding, and penalty costs. The transshipment approach is found to outperform allocation for a broad range of parameter inputs including many situations for which transshipment is not an economically sound decision for a single period. The insights provided enable the manager to choose whether to invest in reducing lead times or demand uncertainty and assist in the selection of investments across identical and nonidentical retailers.     

Estimating and comparing adverse event probabilities in the presence of varying follow-up times and competing events

Safety analyses of adverse events (AEs) are important in assessing benefit–risk of therapies but are often rather simplistic compared to efficacy analyses. AE probabilities are typically estimated by incidence proportions, sometimes incidence densities or Kaplan–Meier estimation are proposed. These analyses either do not account for censoring, rely on a too restrictive parametric model, or ignore competing events. With the non-parametric Aalen-Johansen estimator as the “gold standard”, that is, reference estimator, potential sources of bias are investigated in an example from oncology and in simulations, for both one-sample and two-sample scenarios. The Aalen-Johansen estimator serves as a reference, because it is the proper non-parametric generalization of the Kaplan–Meier estimator to multiple outcomes. Because of potential large variances at the end of follow-up, comparisons also consider further quantiles of the observed times. To date, consequences for safety comparisons have hardly been investigated, the impact of using different estimators for group comparisons being unclear. For example, the ratio of two both underestimating or overestimating estimators may not be comparable to the ratio of the reference, and our investigation also considers the ratio of AE probabilities. We find that ignoring competing events is more of a problem than falsely assuming constant hazards by the use of the incidence density and that the choice of the AE probability estimator is crucial for group comparisons.     

DOING IT WHEN OTHERS DO: A STRATEGIC MODEL OF PROCRASTINATION

This paper develops a strategic model of procrastination in which present‐biased agents prefer to perform an onerous task with someone else. This turns their decision of when to perform the task into a procrastination game—a dynamic coordination game between present‐biased players. The model characterizes the conditions under which interaction mitigates or exacerbates procrastination. A procrastinator matched with a worse procrastinator may perform her task earlier than she otherwise would: she wants to avoid the increased temptation that her peer's company would generate. Procrastinators can thus use bad company as a commitment device to mitigate their self‐control problem. (JEL C72, C73, D03, D91)     

Real estate and real estate finance as a research field—an international overview

We present a citation-based analysis of the most important journals on real estate and real estate finance over a time period from 1986 to 2010. For each year, those three articles with the highest number of citations according to Google Scholar are identified. A thorough analysis of all 75 selected articles reveals that the focus of interest has been on (1)empirical research, (2) mainly using data ofresidential real estate, with (3) the primary objective of evaluating real estateinvestment until the midst 1990s. In order to derive reliable risk-return relations for real estate investment, (4) asset pricing as the main task of real estateappraisal is in the centre of attention, too. Appraisal issues have relatively gained importance for the last fifteen years in comparison to investment issues. Interdisciplinary aspects and sustainable issues are only very rarely integrated in appraisal methods, the focus is primarily on maximizing economic returns. Therefore, our citation analysis confirms that the Financial Management Approach of Dasso and Woodward (1980) is the predominant approach particularly in the United States. Our findings regarding our basic sample of articles are cross-checked by several robustness tests. For future research activities, it seems to be quite promising to focus on the one hand on interdisciplinary aspects and on the other hand to contribute to the theoretical foundation of real estate with the aim of developing a common body of knowledge.     

Multivariate regression analysis of panel data with binary outcomes applied to unemployment data

Summary  In panel studies binary outcome measures together with time stationary and time varying explanatory variables are collected over time on the same individual. Therefore, a regression analysis for this type of data must allow for the correlation among the outcomes of an individual. The multivariate probit model of Ashford and Sowden (1970) was the first regression model for multivariate binary responses. However, a likelihood analysis of the multivariate probit model with general correlation structure for higher dimensions is intractable due to the maximization over high dimensional integrals thus severely restricting ist applicability so far. Czado (1996) developed a Markov Chain Monte Carlo (MCMC) algorithm to overcome this difficulty. In this paper we present an application of this algorithm to unemployment data from the Panel Study of Income Dynamics involving 11 waves of the panel study. In addition we adapt Bayesian model checking techniques based on the posterior predictive distribution (see for example Gelman et al. (1996)) for the multivariate probit model. These help to identify mean and correlation specification which fit the data well. C. Czado was supported by research grant OGP0089858 of the Natural Sciences and Engineering Research Council of Canada.     

Copula structure analysis

Summary.  We extend the standard approach of correlation structure analysis for dimension reduction of high dimensional statistical data. The classical assumption of a linear model for the distribution of a random vector is replaced by the weaker assumption of a model for the copula. For elliptical copulas a correlation-like structure remains, but different margins and non-existence of moments are possible. After introducing the new concept and deriving some theoretical results we observe in a simulation study the performance of the estimators: the theoretical asymptotic behaviour of the statistics can be observed even for small sample sizes. Finally, we show our method at work for a financial data set and explain differences between our copula-based approach and the classical approach. Our new method yielear models also.     

Comparing three alternative types of employment with permanent full-time work: How do employment contract and perceived job conditions relate to health complaints?

Previous research has found that alternative employment arrangements are associated with both impaired and improved well-being. Since such inconsistencies are likely to derive from the type of employment contract as well as the characteristics of the job, this paper compares permanent full-time work with forms of alternative employment (permanent part-time, fixed-term and on-call work) in order to investigate how different employment contracts and perceptions of job conditions relate to individual well-being. This study contributes to the literature by addressing several questions. Different forms of alternative employment are distinguished and individual background characteristics that might be intertwined with the employment contract are controlled for. Moreover, the scope of this study extends to the effects of perceived job conditions, and possible interactive effects with type of employment are tested. Analyses of questionnaire data from 954 Swedish healthcare workers show that perceptions of the job (job insecurity, job control and demands), but not the type of employment contract, predicted health complaints. However, type of employment interacted with perceptions of job insecurity, in that insecurity was associated with impaired well-being among permanent full-time workers, while no relationship was found for on-call or core part-time employees. Despite the absence of interactions between employment contract and job demands or job control, it can be concluded that knowledge about the relationship between alternative employment arrangements and the well-being of workers can be enhanced when the combined effects of employment contract and job conditions are studied.     

Risk‐Taking and the Media

In recent years, media formats with risk‐glorifying content, such as video games that simulate illegal street racing (“bang and crash” games), films about extreme sports, and risky stunts have emerged as top sellers of the media industry. A variety of recent studies conducted by several researchers revealed that exposure to risk‐glorifying media content (e.g., video games that simulate reckless driving, smoking and drinking in movies, or depictions that glorify extreme sports) increases the likelihood that recipients will show increased levels of risk‐taking inclinations and behaviors. The present article (1) reviews the latest research on the detrimental impact of risk‐glorifying media on risk‐taking inclinations (cognitions, emotions, behaviors), (2) puts these findings in the theoretical context of recent sociocognitive models on media effects, and (3) makes suggestions to science and policymakers on how to deal with these effects in the future.