Coping with Stress in Outdoor Recreational Settings: An Application of Transactional Stress Theory

This study uses a transactional model of stress and coping as a way to understand how outdoor recreationists deal with negative setting elements during a recreation experience. Within the transactional model, coping behaviors can be viewed as the result of on-going transactions among personal and environmental factors, perceptions of threat or stress, and the perceived effectiveness of coping strategies. The current study focuses specifically on the relationship between reported levels of stress and the types of coping strategies used by recreationists in Glacier National Park. Findings suggest that certain behavioral and cognitive coping responses to stress are associated with different levels of reported stress. Specifically, respondents with lower levels of stress were more likely to engage in certain cognitive adjustments to cope with detracting situations. Respondents reporting higher levels of stress were more likely to engage in either direct action aimed at changing the environmental conditions or are displaced entirely from the recreational setting. In addition to these primary findings, the study discusses the range of coping behaviors employed.     

Applications of parks management information systems

The paper presents a conceptual model of an integrated management information system for municipal parks maintenance and operations. Research efforts in management information systems are presented in three categories: Business Research, Federally Sponsored Research, and Park and Recreation Systems Research. A case is made for further empirical research, the development of normative models, and evaluative criteria in an attempt to realize the full potential of electronic data processing in parks and recreation.     

Effects of birth spacing and timing on mothers' labor force participation

Data from the March 1991Current Population Survey [Bureau of the Census, 1992] were used to investigate the effects of children on single and married mothers' labor force participation decisions. Logit results indicated that for both single and married mothers, an increase in education and market experience increases the probability of market participation while an increase in income has a negative effect on the likelihood of mothers' labor market participation. The number of children present in the household negatively affected participation while an increase in the age of children positively influenced the mother's labor market participation. The spacing effect in the married group and the timing effect in the single group were significant. Furthermore, an increase in the number of older children in the household (between the ages of 12 and 17 years) increased the probability of labor market participation by single mothers but decreased that of married mothers.     

ADRs,Analysts, and Accuracy: Does Cross Listing in the United States Improve a Firm's Information Environment and Increase Market Value?

This paper investigates the relation between cross listing in the United States and the information environment of non‐U.S. firms. We find that firms that cross list on U.S. exchanges have greater analyst coverage and increased forecast accuracy than firms that are not cross listed. A time‐series analysis shows that a change in analyst coverage and forecast accuracy occurs around cross listing. We also document that firms that have more analyst coverage and higher forecast accuracy have higher valuations. Furthermore, the change in firm value around cross listing is correlated with changes in analyst following and forecast accuracy, suggesting that cross listing enhances firm value through its effect on the firm's information environment. Our findings support the hypothesis that cross‐listed firms have better information environments, which are associated with higher market valuations.     

Using Leading Indicators to Forecast U.S. Home Sales in a Bayesian Vector Autoregressive Framework

This article uses Bayesian vector autoregressive models to examine the usefulness of leading indicators in predicting U.S. home sales. The benchmark Bayesian model includes home sales, price of homes, mortgage rate, real personal disposable income, and unemployment rate. We evaluate the forecasting performance of six alternative leading indicators by adding each, in turn, to the benchmark model. Out-of-sample forecast performance over three periods shows that the model that includes building permits authorized consistently produces the most accurate forecasts. Thus, the intention to build in the future provides good information with which to predict U.S. home sales. Another finding suggests that leading indicators with longer leads outperform the short-leading indicators.     

The hidden value of air transportation infrastructure

Air transportation is a key strategic asset in that it provides access to markets and thereby enables the economic development of nations. Thus, in order to maintain their competitiveness in a global economy, countries must invest in air transportation infrastructure to ensure their ability to meet current and future demand for aviation services. The objective of this paper is to develop and illustrate a methodology for evaluating the strategic value of air transportation infrastructure, in particular the benefits associated with the ability to react quickly to changes in the market. The hypothesis is that by recognizing and taking advantage of this strategic value, it may be possible to design better policies for aviation infrastructure delivery.The methodology developed here uses system dynamics to model different strategies for infrastructure delivery. These strategies are defined by three variables: the amount of capacity increase, the time to deliver the capacity and the congestion threshold that triggers the need for capacity delivery. Monte Carlo simulation is used to take into account multiple sources of uncertainty. The model shows that a strategy of capacity delivery based on small increments and short response times can yield more benefits than strategies that consider large capacity increases and long response times. Furthermore, in the specific airport example considered here, it was found that a congestion threshold of 75% should be the trigger for capacity enlargements if strategies based on small capacity increments and 1 or 5 years to increase capacity are considered. The lesson for decision-makers is that congestion delays must be addressed with foresight.     

Reasonableness and Section 4 of the Employment Act 1980

This article explains the origins of s.4 of the Employment Act 1980 and assesses the place of this provision in the corpus of labour legislation enacted by the Conservative government since 1980. Its principal aim is to concentrate upon the concept of reasonableness which is central to the operation of the provision and to evaluate critically the role of the EAT and the industrial tribunals in interpreting it. Finally, the article seeks to assess the impact of the tribunaľs interpretation of s.4 on union admission and expulsion procedures.     

Combining health education, risk-rated insurance and employee rebates into an integrated health care cost management strategy

Health education, risk rating and employee rebates can be combined into a comprehensive health promotion program within a benefits plan, reflecting health promotion in its truest sense.     

Lifecycle‐based donor performance analysis

With charities of all sizes now having the ability to collect and store very large quantities of data about their donors on in‐house database systems, detailed donor performance analyses have an increasingly essential role to play in the effective planning and management of fundraising. If, however, such activities are to support fully the work of fundraisers then it is important that they are undertaken from the perspective of the fundraiser rather than of the specialist data analyst. This paper introduces an approach to donor performance analysis that is founded on what is termed a ‘donor lifecycle model’. The aim of this is to provide a formal analysis methodology that provides end results that can be more easily interpreted by nonspecialists and so more effectively used in support of the efficient planning of fundraising programmes. Copyright © 2000 Henry Stewart Publications