The United States Economic Crisis: Young Adults’ Reports of Economic Pressures, Financial and Religious Coping and Psychological Well-Being

Using a sample of 222 young adults attending college, the present study examined the relative contribution of young adults’ perceived economic pressures, financial coping and religious meaning-making coping strategies in accounting for variation in their reports of psychological well-being within the context of the United States economic crisis. Results suggest a direct relationship between perceived economic pressure and psychological well-being such that young adults who reported having to make more economic adjustments as a result of economic crisis also reported higher levels of depressed mood and anxiety. Young men and women who reported having to make fewer economic adjustments and being able to meet their material needs reported higher levels of life satisfaction. Regardless of young adults’ self-reported level of economic pressures, the use of education and communication financial coping strategies was related to lower levels of self-reported anxiety and depressed mood and greater life satisfaction. Viewing the financial crisis as a punishment from God was generally associated with young adults’ reports of greater depressed mood and less life satisfaction. Implication of findings for research and practice are discussed.     

A time series model with random coefficients

There are many time series applications where an experi­menter observes the simultaneous responses of several sub­systems over time. In these instances one is often not interested in the parameters of individual subsystems, but rather in an overall characterization of the system in question. Under the assumption that subsystems are independent and first order autoregressive, the present paper presents two methods for estimating the distribution of the subsystem coefficients.     

Improved estimators for the selected location parameters

_i , i = 1, 2, ..., k be k independent exponential populations with different unknown location parameters θ _i , i = 1, 2, ..., k and common known scale parameter σ. Let Y _i denote the smallest observation based on a random sample of size n from the i-th population. Suppose a subset of the given k population is selected using the subset selection procedure according to which the population π _i is selected iff Y _i ≥Y ₍₁₎−d, where Y ₍₁₎ is the largest of the Y _i 's and d is some suitable constant. The estimation of the location parameters associated with the selected populations is considered for the squared error loss. It is observed that the natural estimator dominates the unbiased estimator. It is also shown that the natural estimator itself is inadmissible and a class of improved estimators that dominate the natural estimator is obtained. The improved estimators are consistent and their risks are shown to be O(kn ⁻²). As a special case, we obtain the coresponding results for the estimation of θ₍₁₎, the parameter associated with Y ₍₁₎. Received: January 6, 1998; revised version: July 11, 2000     

Renyi's entropy for residual lifetime distribution

In the present paper, we introduce and study Renyi's information measure (entropy) for residual lifetime distributions. It is shown that the proposed measure uniquely determines the distribution. We present characterizations for some lifetime models. Further, we define two new classes of life distributions based on this measure. Various properties of these classes are also given.     

Microdata Access and Labor Market Research: The U. S. Experience

Summary: The paper illustrates the value of broad researcher access to survey and administrative microdata using examples drawn from the U. S. experience, outlining how analyses of trends in earnings inequality, poverty and employment dynamics using such data have benefited policy makers and contributed to improvements in statistical agency data products. Methods of facilitating researcher access, including the release of public use files, the use of licensing agreements, and the establishment of research data centers, are discussed. * The author thanks Anne Polivka, Marilyn Seastrom and two anonymous referees for helpful comments on an earlier draft of the paper.     

Who participates,who does not,and why? An analysis of voluntary neighborhood organizations in the United States and Israel

Lack of participation in voluntary associations and the associated issues of why people do or do not participate are major areas of interest in the research literature concerning citizen participation. The present study used three types of variables (demographic, social psychological, and costs/benefits) to investigate the characteristics of participants and nonparticipants in neighborhood-type organizations in the United States and Israel. Findings from analysis of the demographic variables show some cross-cultural similarities (including a surprising lack of race/ethnic and education differences between participants and nonparticipants). There were striking cross-cultural similarities using the social psychological variables. The data from the Israel sample provide important information on the costs and benefits of participation. A discriminant analysis points to the predictive strength of social psychological and cost/benefit variables in comparison to demographic variables. Implications of these results for explanatory and predictive purposes are discussed.     

The longevity gender gap: are telomeres the explanation?

In this Perspective, we focus on the greater longevity of women as compared with men. We propose that, like aging itself, the longevity gender gap is exceedingly complex and argue that it may arise from sex-related hormonal differences and from somatic cell selection that favors cells more resistant to the ravages of time. We discuss the interplay of these factors with telomere biology and oxidative stress and suggest that an explanation for the longevity gender gap may arise from a better understanding of the differences in telomere dynamics between men and women.     

The importance of innovation leadership in cultivating strategic fit and enhancing firm performance

This study examines the importance of innovation leadership in cultivating the strategic fit of an organization with its environment, and enhancing various economic, relationship, and product performance outcomes. It thus explores how innovation leadership enables a firm to change and adapt to its external environment and by implication enhance its performance. The results of data collected from 117 firms show that innovation leadership, both directly and through increased strategic fit, significantly enhances firm performance. Implications for research on strategic and innovation leadership and adaptive organizational systems are discussed.     

Some multiple comparison procedures for comparing treatments within several groups

Multiple comparison procedures are extended to designs consisting of several groups, where the treatment means are to be compared within each group. This may arise in two-factor experiments, with a significant interaction term, when one is interested in comparing the levels of one factor at each level of the other factor. A general approach is presented for deriving the distributions and calculating critical points, following three papers which dealt with two specific procedures. These points are used for constructing simultaneous confidence intervals over some restricted set of contrasts among treatment means in each of the groups. Tables of critical values are provided for two procedures and an application is demonstrated. Some extensions are presented for the case of possible different sets of contrasts and also for unequal variances in the various groups.     

Time series analysis for repeated surveys

Estimation of a characteristic based on surveys repeated at regular intervals is considered. A state space formulation is given for the problem and the Kalman Filter is used to obtain an estimate and its variance. Some examples are also given to illustrate the methodology.