Wage Inflation and Unemployment in Britain and America 1892–1991

This paper examines the stability of the wage inflation process in Britain and America from 1892 to 1991. Utilizing a simple model of the aggregate labor market that treats wage inflation and the annual change in the unemployment rate as jointly endogenous variables, we find no evidence of substantial parameter shifts. In particular, there is no evidence of a secular increase in wage rigidity in either country nor is there support for the notion that periods of persistently high unemployment, such as the 1930s or the 1980s, are characterized by significant increases in wage rigidity. Our results are consistent with the findings of several other studies and indicate that wage rigidity has been a stable characteristic of labor markets since the end of the 19th century. Our results also suggest that the unemployment performance of these two countries over time can be explained by the interaction of demand shocks and wage rigidity.     

The behavioural wedge

When nations fail to agree, can individual citizens make a difference? The third of our post-Copenhagen features is by Jonathan Gilligan, Thomas Dietz, Gerald T. Gardner, Paul C. Stern , and Michael P. Vandenbergh . They look at the effects that voluntary actions by individuals can have, and at the policies that can best encourage such actions.     

A flexible semiparametric transformation model for survival data

I suggest an extension of the semiparametric transformation model that specifies a time-varying regression structure for the transformation, and thus allows time-varying structure in the data. Special cases include a stratified version of the usual semiparametric transformation model. The model can be thought of as specifying a first order Taylor expansion of a completely flexible baseline. Large sample properties are derived and estimators of the asymptotic variances of the regression coefficients are given. The method is illustrated by a worked example and a small simulation study. A goodness of fit procedure for testing if the regression effects lead to a satisfactory fit is also suggested.     

Predictive factors of acculturation attitudes and social support among Asian immigrants in the USA

This study examines acculturation attitude and its relation to social support among Asian immigrants. The data were collected from 242 Korean, Indian and Filipino immigrants in the USA using the Acculturation Attitude Scale and the Social Support Index. Findings showed that Koreans had a less positive attitude toward acculturation than did Indian and Filipino participants. Acculturation attitude was positively correlated with educational level and English fluency. This study also found a negative correlation between acculturation attitude and social support. Social support from friends and English fluency were identified as significant predictor variables in determining the level of acculturation attitude. These findings not only contribute to social work education and practice, but also increase cultural sensitivity and awareness in working with these populations.     

Beyond talking – children's participation in Norwegian care and protection cases

The attempt to give children an effective voice in social work processes which can have substantial impact on their lives takes different forms in countries with varying professional cultures and legal frameworks. This paper reports on a study of children's participation in decision-making in care and protection services in Norway, which was carried out in conjunction with a project to support social work teams in enabling children to participate, using materials borrowed from England and Wales. The results showed that (a) taking an active part in decision-making did not correlate perfectly with (b) having an influence on the outcome. Cases were therefore classified as ‘participation’ or ‘non-participation’ using a combination of both the above criteria. Statistical analysis of the factors influencing children's participation enabled the proposition of a model which appeared to explain much of the variance. The results point to the inadequacy of equating social work conversation with children with effective participation in decision-making.     

Evaluating Probabilistic Forecasts with Bayesian Signal Detection Models

We propose the use of signal detection theory (SDT) to evaluate the performance of both probabilistic forecasting systems and individual forecasters. The main advantage of SDT is that it provides a principled way to distinguish the response from system diagnosticity, which is defined as the ability to distinguish events that occur from those that do not. There are two challenges in applying SDT to probabilistic forecasts. First, the SDT model must handle judged probabilities rather than the conventional binary decisions. Second, the model must be able to operate in the presence of sparse data generated within the context of human forecasting systems. Our approach is to specify a model of how individual forecasts are generated from underlying representations and use Bayesian inference to estimate the underlying latent parameters. Given our estimate of the underlying representations, features of the classic SDT model, such as the receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC), follow immediately. We show how our approach allows ROC curves and AUCs to be applied to individuals within a group of forecasters, estimated as a function of time, and extended to measure differences in forecastability across different domains. Among the advantages of this method is that it depends only on the ordinal properties of the probabilistic forecasts. We conclude with a brief discussion of how this approach might facilitate decision making.     

Forthcoming in Sociological Forum

Volume Contents

Forthcoming in Sociological Forum     

The industrial athlete?

Many similarities can be drawn between the athletic and industrial population. It is time for a shift in the approach toward injured workers utilizing a sports medicine perspective. We must think of workers as industrial athletes and recognize that the sports medicine model can be appropriately adapted to the injured worker. This model includes prevention, early intervention/identification, training and conditioning, and progressive treatment. Sports medicine rehabilitation concepts include treating the entire kinetic chain that is associated with a specific injury and the SAID principle (Specific Adaptations to Imposed Demands).