Registered nurses' perspectives on health care and the 2008 presidential election

As this historic presidential election draws near, what do RNs think of our nation's priorities? Which candidates do they think will be most effective in shaping our health care system and addressing the most pressing issues of our time? The results of this survey show that RNs do not identify overwhelmingly with one political ideology or party and, in fact, they closely resemble the public on these political dimensions. The data also show that RNs identify health care issues as the most important problem facing the nation. RNs who believe that it is the responsibility of the government to provide health insurance to those without it, have more confidence in the government to achieve this outcome, and are more likely to be Democrats than Republicans. The presidential election is expected to be highly contested and could be determined by a relatively small margin of votes and, thus, nurses should recognize their chances of influencing the outcome of the election. The data from this survey provide baseline information potentially useful to increasing the political influence of the nursing profession, informing other organizations about where they might align with nurses, and helping candidates and the political parties compete more effectively in seeking the support of roughly 3 million RN voters.     

Public perceptions of nursing careers: the influence of the media and nursing shortages

The high public regard for nurses has not necessarily translated into an adequate supply of individuals who are willing to be nurses. The expected future demand for nurse labor challenges us to look more closely at the public's perceptions of nursing and nursing careers, and consider how they are shaped by personal experience, media messages, and socio-demographic factors. As part of ongoing efforts to examine factors shaping the future of the nursing workforce, a national survey of Americans was conducted to probe attitudes toward the nursing profession and their experiences with nurses. The data in this national survey of the public about nursing demonstrate that the nursing profession is highly respected and that the vast majority of the general public would recommend nursing careers to qualified students. If the profession is so well thought of and so highly recommended, why are there persistent concerns that not enough people are becoming RNs to avoid or at least slow down the development of future shortages? A prolonged and persistent effort is needed to educate people about nursing careers, to stimulate the expanded production of nursing faculty, and to bring creative approaches to financing nursing education and workforce improvements to convert the large number of seriously interested candidates into the nursing profession.     

To Screen or Not to Screen? Using the Internet for Selection Decisions

Organizations are increasingly relying on Internet searches and social networking websites to uncover detailed and private information about job applicants. Such Internet screening techniques have the potential to provide additional information beyond that found using traditional screening approaches. However, questions regarding the legality and appropriateness of this practice, as well as issues regarding the standardization, reliability, and validity of the information obtained, need to be addressed. The current work describes these issues associated with Internet screening and provides recommendations to help ensure this practice is used appropriately in organizations. Suggestions for future research on Internet screening are also discussed.     

A Hausman-type test to detect the presence of influential outliers in regression analysis

In regression analysis, classical estimations may be excessively influenced by a few atypical observations. We propose a Hausman-type test to balance robustness and efficiency and to check whether a robust method should be implemented. An economic application is presented.     

HOW DO SPOUSES SHARE THEIR FULL INCOME? IDENTIFICATION OF THE SHARING RULE USING SELF‐REPORTED INCOME

The paper applies the collective model to the analysis of intra-household inequality using one of the subjective-qualitative questions available in the RLMS (Russia Longitudinal Monitoring Survey) data, and provides a test for its assumptions. Interpreting the individual answers as reported budget scales we assume a correspondence between the budget level that household members report and their true income sharing. We first show that this assumption is supported by the data, and then use couples who report the same level of budget to identify the full sharing rule for the whole sample.     

The impact of information signals on market prices when agents have non-linear trading rules

Several methods have been developed for filtering seasonal influences and extreme returns in financial and economic time series. The theoretical support for these approaches is rather questionable since it focuses on the effects of shocks on prices and not on their sources. Removing such effects modifies the true generating system of market dynamics because of the non-proportional character of non-linearity. Thus, taking into account that the underlying process of economic time series is highly non-linear we cannot be certain a priori what the impact of new information will be on the dynamic structure of a system. The main contribution of this paper is to demonstrate using the methodology of simulations the eventual distortions in time series data arising from the arrival of news when agents follow non-linear trading strategies. We argue that if news can really modify the dynamical behaviour of a system, then the methodology of filtering exogenous distortions needs to be re-examined.     

An Empirical Study of Environmental Awareness and Practices in SMEs

With increasing awareness of environmental issues, there has been rising demand for environmental-friendly business practices. Prior research has shown that the implementation of environmental management practices is influenced by existing and potential stakeholder groups in the form of external pressures from legislators, environmental groups, financial institutions and suppliers, as well as internally by employees and owner/manager attitudes and knowledge. However, it has been reported that despite business owner/managers having strong “green” attitudes, the level of implementation of environmental-friendly practices is low. In order to explore the connection between pressures for improved practices and the management actions taken, this article examines how influence from various stakeholders is related to awareness of environmental issues, and how this awareness relates to actions taken within the businesses to reduce the environmental impact of their operations. The results indicate that legislation does result in general environmental awareness, and that organizations are then willing to␣change their business processes and environmental strategies. However, despite their actions they have little awareness of the benefits that might arise from cost reductions from their environmental-friendly practices. Those influenced by their suppliers act to reduce waste, but do not put into place formal environmental management systems, or use environmental messages to market their goods or services. Nevertheless, it can be argued that they have a real commitment to environmental issues, as evidenced by a willingness to voluntarily contribute to environmental organizations.     

Firm growth in industrial clusters of the United Kingdom

This article examines how firm growth is influenced by the strength of the industrial cluster in which the firm is located. It presents econometric estimates of firm growth for 56 two-digit industries in the UK. In about half of these industries, there is a positive and statistically significant association between firm growth and own-sector employment. Significant associations between firm growth and other-sector employment are less common, but where these arise they are generally negative. We find that a weak rule of thumb applies in most industries: own-sector effects are positive or insignificant, while other-sector effects are negative or insignificant. Cluster effects are strongest in manufacturing, manufacturing-related, and infrastructure, but weaker in services.

Modeling social interactions: Identification, empirical methods and policy implications

Social interactions occur when agents in a network affect other agents’ choices directly, as opposed to via the intermediation of markets. The study of such interactions and the resultant outcomes has long been an area of interest across a wide variety of social sciences. With the advent of electronic media that facilitate and record such interactions, this interest has grown sharply in the business world as well. In this paper, we provide a brief summary of what is known so far, discuss the main challenges for researchers interested in this area, and provide a common vocabulary that will hopefully engender future (cross disciplinary) research. The paper considers the challenges of distinguishing actual causal social interactions from other phenomena that may lead to a false inference of causality. Further, we distinguish between two broadly defined types of social interactions that relate to how strongly interactions spread through a network. We also provide a very selective review of how insights from other disciplines can improve and inform modeling choices. Finally, we discuss how models of social interaction can be used to provide guidelines for marketing policy and conclude with thoughts on future research directions.     

The Impacts of Technology, Trade and Outsourcing on Employment and Labor Composition

Empirical studies of skill-biased technological change are typically based on a simple production or cost function framework and limited information on technology and labor composition. In contrast, we simultaneously assess the impacts of trade, technology, and outsourcing on shifts in labor demand using a dynamic cost function framework and comprehensive measures of workforce composition and investment in technology. Our findings indicate that technological change has had the largest impact on changes in labor composition. However, the indirect impact of trade on shifts in employment augments its direct impact because trade stimulates computerization, which further exacerbates skill-biased technological change.