The relationship between organizational factors and resident satisfaction with nursing home care and life

We examined the relationships between nursing home (NH) resident satisfaction and NH organizational characteristics, while controlling for the effect of resident characteristics within facilities. We used a stratified, random sample of NHs (N = 72) from two states and a prescreened and randomized sample of 1496 residents. Data sources included resident interviews, an administrator survey, the Minimum Data Set (MDS), and the Online Survey, Certification and Reporting System (OSCAR). Using Hierarchical Linear Modeling (HLM) techniques, we found that non-chain affiliation, certified nursing assistant staffing, and provision of a family council had significant positive effects on total resident satisfaction. The presence of a special care unit was associated with lower levels of satisfaction.     

Recognition denial, need for autonomy, and youth violence

Some adolescents develop an especially strong need for autonomy, desiring to be "their own boss" and determined to follow their own rules. Previous research indicates that an exaggerated need for autonomy is associated with aggression and other problem behaviors. Yet little is known about the origins of such "me-first" attitudes. Why do some young people develop a stubborn need for autonomy in the first place?This article focuses on the role of adolescent autonomy needs in the development of youth violence, drawing on the insights of recognition theory and suggesting that the origins of an exaggerated need for autonomy can be found in the experience of recognition denial. Data from a large sample of male adolescents are used to test this hypothesis. The findings are consistent with the hypothesis, showing that perceived recognition denial (including the perception that one is treated as an inferior) contributes to a strong need for autonomy. Both are associated with elevated levels of violent behavior. The author closes with a discussion of the findings and their implications for violence prevention.     

Probabilistic Projections of the Total Fertility Rate for All Countries

We describe a Bayesian projection model to produce country-specific projections of the total fertility rate (TFR) for all countries. The model decomposes the evolution of TFR into three phases: pre-transition high fertility, the fertility transition, and post-transition low fertility. The model for the fertility decline builds on the United Nations Population Division’s current deterministic projection methodology, which assumes that fertility will eventually fall below replacement level. It models the decline in TFR as the sum of two logistic functions that depend on the current TFR level, and a random term. A Bayesian hierarchical model is used to project future TFR based on both the country’s TFR history and the pattern of all countries. It is estimated from United Nations estimates of past TFR in all countries using a Markov chain Monte Carlo algorithm. The post-transition low fertility phase is modeled using an autoregressive model, in which long-term TFR projections converge toward and oscillate around replacement level. The method is evaluated using out-of-sample projections for the period since 1980 and the period since 1995, and is found to be well calibrated.     

The Time Consistency of Optimal Monetary and Fiscal Policies

We show that optimal monetary and fiscal policies are time consistent for a class of economies often used in applied work, economies appealing because they are consistent with the growth facts. We establish our results in two steps. We first show that for this class of economies, the Friedman rule of setting nominal interest rates to zero is optimal under commitment. We then show that optimal policies are time consistent if the Friedman rule is optimal. For our benchmark economy in which the time consistency problem is most severe, the converse also holds: if optimal policies are time consistent, then the Friedman rule is optimal.     

Meta Analysis of Functional Neuroimaging Data via Bayesian Spatial Point Processes

As the discipline of functional neuroimaging grows there is an increasing interest in meta analysis of brain imaging studies. A typical neuroimaging meta analysis collects peak activation coordinates (foci) from several studies and identifies areas of consistent activation. Most imaging meta analysis methods only produce null hypothesis inferences and do not provide an interpretable fitted model. To overcome these limitations, we propose a Bayesian spatial hierarchical model using a marked independent cluster process. We model the foci as offspring of a latent study center process, and the study centers are in turn offspring of a latent population center process. The posterior intensity function of the population center process provides inference on the location of population centers, as well as the inter-study variability of foci about the population centers. We illustrate our model with a meta analysis consisting of 437 studies from 164 publications, show how two subpopulations of studies can be compared and assess our model via sensitivity analyses and simulation studies. Supplemental materials are available online.     

Lot Splitting in Stochastic Flow Shop and Job Shop Environments*

In recent years many firms have been implementing small lot size production. Lot splitting breaks large orders into smaller transfer lots and offers the ability to move parts more quickly through the production process. This paper extends the deterministic studies by investigating various lot splitting policies in both stochastic job shop and stochastic flow shop settings using performance measures of mean flow time and the standard deviation of flow time. Using a computer simulation experiment, we found that in stochastic dynamic job shops, the number of lot splits is more important than the exact form of splitting. However, when optimal job sizes are determined for each scenario, we found a few circumstances where the implementation of a small initial split, called a “flag,” can provide measurable improvement in flow time performance. Interestingly, the vast majority of previous research indicates that methods other than equal lot splitting typically improves makespan performance. The earlier research, however, has been set in the static, deterministic flow shop environment. Thus, our results are of practical interest since they show that the specific method of lot splitting is important in only a small set of realistic environments while the choice of an appropriate number of splits is typically more important.     

Comparisons in Gender Wage Differentials and Discrimination between Germany and the United Kingdom

Due to the lack of consistent data, direct and robust comparisons of cross‐country labour markets have been virtually impossible. This study uses a new panel data series that controls for inconsistencies, thus overcoming this problem. This study estimates gender wage differentials and gender discrimination in the German and UK labour markets. Panel estimates are used to identify general wage differences between the two countries, with cross‐sectional comparisons undertaken to identify changes that have occurred between 1991 and 1993, that are consistent with known labour market policies. It is found that gender wage differentials are greater in the UK than Germany with employer discrimination against females attributed with the majority of the difference in both countries.