Age Distribution, Saving and Consumption in Sweden

This paper focuses on an empirical analysis of the dependency between age structure and aggregate consumption and the composition of aggregate savings. In a long-run consumption function of life cycle type, different demographic variables have a conclusive, statistically significant effect. In investigating the link between demographic variables and the composition of aggregate savings, a simple simultaneous model is used, and a saving function and a house price equation are estimated. The result even here is that age composition matters for house price and savings. This conclusion is also made visible by a simulation experiment. Finally is the model used to ascertain the effect on the recent Swedish tax reform on savings.

Distribution of GPs in Scotland by age, gender and deprivation

General practice in the UK is widely reported to be in crisis, with particular concerns about recruitment and retention of family doctors. This study assessed the distribution of GPs in Scotland by age, gender and deprivation, using routinely available data. We found that there are more GPs (and fewer patients per GP) in the least deprived deciles than there are in the most deprived deciles. Furthermore, there are a higher proportion of older GPs in the most deprived deciles. There are also important gender differences in the distribution of GPs. We discuss the implications of these findings for policymakers and practitioners

Embodiment, Productivity, and the Age Distribution of Capital

An important theme in modern research on productivity has been that technological progress may be embodied in capital in the sense that traditional measures of TFP growth reflect unmeasured improvements in the quality of capital inputs as well as pure disembodied technological progress. It is commonly believed that an implication of this embodiment hypothesis is that there should be a negative relationship between measured TFP and the age of the measured capital stock. This paper presents empirical evidence which suggests that an increase in the age of the capital stock is actually associated with higher TFP growth. This surprising result may be due to the presence of a mis-measurement normally overlooked in this literature: With mis-measured improvements in capital quality, the usual depreciation rates used to construct empirical capital stocks are incorrect for growth accounting. This effect dominates the usual average age effect.Embodiment, Producivity

Aging in Structural Changes of Amorphous Solids: A Study of First Passage Time and Persistence Time Distribution

The time distribution of relaxation events in an aging system is investigated via molecular dynamics simulations. The focus is on the distribution functions of the first passage time, $p_1(\Delta t)$, and the persistence time, $p(\tau)$. In contrast to previous reports, both $p_1$ and $p$ are found to evolve with time upon aging. The age dependence of the persistence time distribution is shown to be sensitive to the details of the algorithm used to extract it from particle trajectories. By updating the reference point in event detection algorithm and accounting for the event specific aging time, we uncover age dependence of $p(\tau)$, hidden to previous studies. Moreover, the apparent age-dependence of $p_1$ in continuous time random walk with an age independent $p(\tau)$ is shown to result from an implicit synchronization of all the random walkers at the starting time

Explaining changes in the age distribution of displaced workers

Using Displaced Worker Survey data, this paper examines changes in the age distribution of displaced workers during the 1983–87 and 1993–97 periods. Older workers comprised a significantly larger fraction of displaced workers during the later period. Potential explanations for this phenomenon include demographic shifts in the labor force, changes in technology, and industry and occupational shifts. Kernel density estimates indicate that the aging of the labor force accounts for the majority of the shift in the age distribution of displaced workers. Changes in technology also appear to have contributed to the shift in the age distribution of displaced workers by increasing the likelihood of displacement among older workers relative to younger workers. Differential changes across age groups between goods-producing and service-producing jobs and between blue-collar and white-collar jobs appear to have had little effect on the change in the age distribution of displaced workers.Labor turnover ; Demography ; Labor supply