Solving the Labour Problem Among Professional Workers in the UK Public Sector: Organisation Change and Performance Management

This paper draws together evidence from across the UK public services to present an analysis of public sector organisational change that has been observed and experienced since the 1980s. The argument is that the pattern of persistent change, packaged as a myriad of reform measures, has been centrally concerned with solving the labour problem—low worker productivity and managers not being able to manage—in what are labour intensive services. The now familiar managerial discourse of empowerment and high commitment working practices is highlighted and express linkages are drawn between such themes and the day-to-day practices of performance and human resource management, seen here to be key levers in solving the same labour problem through a reduction in the quality of working lives of many public service workers.     

First‐order bias correction for fractionally integrated time series

Most of the long memory estimators for stationary fractionally integrated time series models are known to experience non‐negligible bias in small and finite samples. Simple moment estimators are also vulnerable to such bias, but can easily be corrected. In this article, the authors propose bias reduction methods for a lag‐one sample autocorrelation‐based moment estimator. In order to reduce the bias of the moment estimator, the authors explicitly obtain the exact bias of lag‐one sample autocorrelation up to the order n⁻¹. An example where the exact first‐order bias can be noticeably more accurate than its asymptotic counterpart, even for large samples, is presented. The authors show via a simulation study that the proposed methods are promising and effective in reducing the bias of the moment estimator with minimal variance inflation. The proposed methods are applied to the northern hemisphere data. The Canadian Journal of Statistics 37: 476–493; 2009 © 2009 Statistical Society of Canada     

Probability density function of quotient of order statistics from the pareto,power and weibull distributions

This paper deals with the probability density functions of quotient of order statistics. We use the Mellin transform technique, to find the distribution of the quotient Z= X/Xwhere X.,X(i < j) are the ith and jth order statistics from the Pareto, Power and Weibull distributions     

Extracting a revised labor supply theory from Becker's model of the household

Conflicting assumptions about labor supply behavior lie at the nexus of ideological and theoretical debates regarding the reality of involuntary unemployment, the efficacy of Keynesian macro-policy, and the appropriate nature of welfare policy. This can in part be attributed to the fact that orthodox theory is effectively predicated upon describing the behavior of individuals whose level of affluence enables them to voluntarily withhold their labor from the market. Ironically, a means of resolution appears if we extend Gary Becker's utility producing model of the household to recognize two latent behavioral concerns: (1) the ‘need’ of households for money income in order to produce utility, and (2) the presence of work activity in the home. The resulting generalized labor supply model extends Becker's analysis to explicitly encompass both the behavior of the affluent, and the behavior of the poor who need to work in order to sustain their existence.     

The Method to Identify a Biomarker and to Evaluate Its Efficiency for Survival by Using the Joint Model of the Accelerate Failure Time and Longitudinal Data

In this article, we discuss how to identify longitudinal biomarkers in survival analysis under the accelerated failure time model and also discuss the effectiveness of biomarkers under the accelerated failure time model. Two methods proposed by Shcemper et al. are deployed to measure the efficacy of biomarkers. We use simulations to explore how the factors can influence the power of a score test to detect the association of a longitudinal biomarker and the survival time. These factors include the functional form of the random effects from the longitudinal biomarkers, in the different number of individuals, and time points per individual. The simulations are used to explore how the number of individuals, the number of time points per individual influence the effectiveness of the biomarker to predict survival at the given endpoint under the accelerated failure time model. We illustrate our methods using a prothrombin index as a predictor of survival in liver cirrhosis patients.     

Robust methods in econometrics

This survey of recent developments in robust estimation and inference is directed primarily toward econometricians. It is argued that many of the techniques in common use in econometrics are highly sensitive to unverified hypotheses. Recent progress in designing alternative robust procedures is described and some prospects for future developments are discussed.     

Intensity and persistence of individuals' social exclusion in Australia

We construct a measure of social exclusion that recognises its multidimensionality at the individual level, including its potential variability in intensity at a point in time and in persistence over time. We distinguish seven dimensions or domains of social exclusion: material resources; employment; education and skills; health and disability; social; community; and personal safety. For each of these seven domains, several indicators of social exclusion are produced. Our exclusion measure identifies 20 to 30 per cent of the Australian population aged 15 years and over as experiencing ‘marginal’ or worse levels of exclusion at any given point in time. However, there is considerable variation in both the extent and persistence of exclusion among the excluded. We further find that, although there are commonalities in the demographic composition of the socially excluded and the income poor, there are also some important differences. For example, persons 65 years and over represent a much smaller share of the most ‘excluded’ group than they do of the ‘poorest‘; and – adopting a household‐level measure of exclusion – children represent a larger share of the excluded than they do of the poor.     

Continuing professional development after qualification--partnerships,pitfalls and potential

Social work educators, employers and policy-makers have increasingly recognised the importance of continuing professional development. The UK social work qualification (DipSW) provides a broad base of practice skills, knowledge and values. However, increasingly complex work, frequent legislative and policy changes, research findings and challenges of working in a societal context of increasing change and diversity all contribute to the necessity of developing strategies for continuing professional development which adequately equip social workers. Such education cannot be alienated from social workers' employment context, and thus needs to remain mindful of employers' needs while concurrently maintaining academic rigour. This paper explores the development and delivery of a year-long post-qualifying training course run collaboratively between West Sussex Social and Caring Services and University College Chichester. It places some of the experiences of tutors, candidates and Training and Development Officers within the wider context of social work education, training and the delivery of social care. In exploring some of the contradictions and tensions experienced it seeks to further understand the challenge of delivering effective training in an increasingly complex and fragmented arena. Finally, it considers possible future developments, mindful of future changes in UK social work education.