Leisure activity and adjustment in retirement

A sample of retired persons in a southern metropolitan area responded to a questionnaire designed to investigate the interrelationship between level of leisure activity and adjustment in retirement Adjustment was measured by two indices, life satisfaction and alienation. The survey's results show that persons who have more leisure activities are more satisfied with their lives and are less alienated than those who have few leisure activities.     

Leadership development as identity formation: middle managers’ leadership learning from MBA study

This article challenges often unquestioned understandings within human resource development (HRD) of leadership as comprising knowledge and skills and leadership development as involving the transfer of such knowledge and skills from formal interventions to workplace performance. Using the notions of leadership as identity and learning as a process of identity formation, the article reports qualitative research showing how a case-study group of middle managers in a sector of the economy undergoing unprecedented turbulence, UK local government, developed a sense of themselves as leaders and how a key HRD intervention, a corporate MBA, facilitated such identity development. In particular, the article uses situated learning theory to examine how informal communities of practice associated with Master of Business Administration (MBA) study provided a forum for identity building of equal developmental value to the formal MBA curriculum. The implications for future HRD research are established and suggestions made for the re-design of HRD interventions to best enable identity-work.     

Managing Supply Chain Execution: Monitoring Timeliness and Correctness via Individualized Trace Data

Improvements in information technologies provide new opportunities to control and improve business processes based on real‐time performance data. A class of data we call individualized trace data (ITD) identifies the real‐time status of individual entities as they move through execution processes, such as an individual product passing through a supply chain or a uniquely identified mortgage application going through an approval process. We develop a mathematical framework which we call the State‐Identity‐Time (SIT) Framework to represent and manipulate ITD at multiple levels of aggregation for different managerial purposes. Using this framework, we design a pair of generic quality measures—timeliness and correctness—for the progress of entities through a supply chain. The timeliness and correctness metrics provide behavioral visibility that can help managers to grasp the dynamics of supply chain behavior that is distinct from asset visibility such as inventory. We develop special quality control methods using this framework to address the issue of overreaction that is common among managers faced with a large volume of fast‐changing data. The SIT structure and its associated methods inform managers on if, when, and where to react. We illustrate our approach using simulations based on real RFID data from a Walmart RFID pilot project.     

Robust estimation of the ratio of scale parameters for positive random variables

An estimator of the ratio of scale parameters of the distributions of two positive random variables is developed for the case where the only difference between the distributions is a difference in scale. Simulation studies demonstrate that the estimator performs much better, in terms of mean squared error, than the most popular one among those estimators currently available.     

Fitting a Semi-Parametric Mixture Model for Competing Risks in Survival Data

A model for survival analysis is studied that is relevant for samples which are subject to multiple types of failure. In comparison with a more standard approach, through the appropriate use of hazard functions and transition probabilities, the model allows for a more accurate study of cause-specific failure with regard to both the timing and type of failure. A semiparametric specification of a mixture model is employed that is able to adjust for concomitant variables and allows for the assessment of their effects on the probabilities of eventual causes of failure through a generalized logistic model, and their effects on the corresponding conditional hazard functions by employing the Cox proportional hazards model. A carefully formulated estimation procedure is presented that uses an EM algorithm based on a profile likelihood construction. The methods discussed, which could also be used for reliability analysis, are applied to a prostate cancer data set.     

Alternating event processes during lifetimes: population dynamics and statistical inference

In the literature studying recurrent event data, a large amount of work has been focused on univariate recurrent event processes where the occurrence of each event is treated as a single point in time. There are many applications, however, in which univariate recurrent events are insufficient to characterize the feature of the process because patients experience nontrivial durations associated with each event. This results in an alternating event process where the disease status of a patient alternates between exacerbations and remissions. In this paper, we consider the dynamics of a chronic disease and its associated exacerbation-remission process over two time scales: calendar time and time-since-onset. In particular, over calendar time, we explore population dynamics and the relationship between incidence, prevalence and duration for such alternating event processes. We provide nonparametric estimation techniques for characteristic quantities of the process. In some settings, exacerbation processes are observed from an onset time until death; to account for the relationship between the survival and alternating event processes, nonparametric approaches are developed for estimating exacerbation process over lifetime. By understanding the population dynamics and within-process structure, the paper provide a new and general way to study alternating event processes.     

COMBINING HOUSEHOLD SURVEYS USING MASS IMPUTATION TO ESTIMATE POPULATION TOTALS

Pressure is often placed on statistical analysts to improve the accuracy of their population estimates. In response to this pressure, analysts have long exploited the potential to combine surveys in various ways. This paper develops a framework for combining surveys when data items from one of the surveys is mass imputed. The estimates from the surveys are combined using a composite estimator (CE). The CE accounts for the variability due to the imputation model and the surveys’ sampling schemes. Diagnostics for the validity of the imputation model are also discussed. We describe an application of combining the Australian Labour Force Survey and the National Aboriginal and Torres Strait Islander Health Survey to estimate employment characteristics about the Indigenous population. The findings suggest that combining these surveys is beneficial.     

‘In a perfect world it would be great if they didn't exist’: How Australians experience payday loans

In the last few decades, payday lending has mushroomed in many developed countries. The arguments for and against an industry which provides small, short‐term loans at very high interest rates have also blossomed. This article presents findings from an Australian study to contribute to the international policy and practice debate about a sector which orients to those on a low income. At the heart of this debate lies a conundrum: Borrowing from payday lenders exacerbates poverty, yet many low‐income households rely on these loans. We argue that the key problem is the restricted framework within which the debate currently oscillates. Key Practitioner Message: ● Framing payday borrowing as a problem of market failure leads to one‐sided and ineffective regulatory responses; ● Until governments instigate real alternatives for cheap and readily available credit, and broader anti‐poverty measures, curbing access to payday lenders can have the perverse effect of increasing privation; ● For practitioners seeking to abolish payday lending, campaigns for higher wages and a liveable social welfare income are central.     

A comparison of six methods of analysing row-column designs with inter-block information

Six methods of obtaining estimates of treatment effects in a row-column design are considered. Five methods use estimates of inter-row and inter-column variation, and the remaining method is Ordinary Least Squares. Using simulation, these methods are examined to see which are most appropriate for minimising the sum of the squared differences between the estimates of the elementary treatment contrasts and their true values. Recommendations are made of which methods to use.