Response Agreement Rates Between Child Welfare–Involved Youth and Their Caregivers

ABSTRACT

Data were collected from 40 youth and 37 caregivers, which represented 57 distinct youth and 20 youth–caregiver dyads to measure the level of agreement between youth self-report and their caregivers on a variety of topics. Topics included: the youth's past placements, service use and needs, experiences in the child welfare system, and the youth's emotional problems and social behaviors. Results indicated high agreement between youth and caregiver proxy related to placement history, service use, the restrictiveness of the current environment, and community safety; results indicated low levels of agreement for youth emotional difficulties and prosocial behaviors. Qualitative data were used to further identify some of the differences noted. Overall, the findings support prior research that shows higher agreement within youth–caregiver dyads for objective measures as opposed to subjective and private ones. Implications for future research are discussed, and methodological challenges related to this study are identified.     

Asymptotic variance–covariance matrix of sample autocorrelations for threshold-asymmetric GARCH processes

In the field of financial time series, threshold-asymmetric conditional variance models can be used to explain asymmetric volatilities [C.W. Li and W.K. Li, On a double-threshold autoregressive heteroscedastic time series model, J. Appl. Econometrics 11 (1996), pp. 253–274]. In this paper, we consider a broad class of threshold-asymmetric GARCH processes (TAGARCH, hereafter) including standard ARCH and GARCH models as special cases. Since sample autocorrelation function provides a useful information to identify an appropriate time-series model for the data, we derive asymptotic distributions of sample autocorrelations both for original process and for squared process. It is verified that standard errors of sample autocorrelations for TAGARCH models are significantly different from unity for lower lags and they are exponentially converging to unity for higher lags. Furthermore they are shown to be asymptotically dependent while being independent of standard GARCH models. These results will be interesting in the light of the fact that TAGARCH processes are serially uncorrelated. A simulation study is reported to illustrate our results.     

Common paths,divergent patterns: The social protection by other means approach in Australia and Japan

This article reports on a study of the welfare reform trajectories of two countries that are often identified in the literature as having institutional patterns of the ‘social protection by the other means’ approach. It is questioned in the article whether these two countries have undergone a converging reform trajectory against the increasing forces of economic liberalisation and whether their distinct ways of doing social policy have now come to an end. It argues that while both Australia and Japan have followed a similar neoliberal path in their social policy reform direction, the forms and patterns they have taken to follow have been distinct, largely aligned with the existing structure of social protection in each. Distinctive strategies of welfare adopted by each country have led to a divergent pattern in their way of doing social policy.     

Households' Perceived Personal Risk and Responses in a Multihazard Environment

This study proposed and tested a multistage model of household response to three hazards—flood, hurricane, and toxic chemical release—in Harris County Texas. The model, which extends Lindell and Perry's (1992, 2004) Protective Action Decision Model, proposed a basic causal chain from hazard proximity through hazard experience and perceived personal risk to expectations of continued residence in the home and adoption of household hazard adjustments. Data from 321 households generally supported the model, but the mediating effects of hazard experience and perceived personal risk were partial rather than complete. In addition, the data suggested that four demographic variables—gender, age, income, and ethnicity—affect the basic causal chain at different points.     

Empirical bayes approach to bayes sequential estimation: the poisson and bernoulli cases

The problem considered is the Bayes sequential estimation of the mean with quadratic loss and fixed cost per observation. Assume the prior distribution is not completely known. Some empirical Bayes procedures are proposed in the Poisson and Bernoulli cases, and they are shown to be asymptotically non-deficient in the sense of Woodroofe (1981).     

Precise asymptotics in the law of the logarithm for the rescaled range statistic

For a sequence of i.i.d. zero mean random variables belonging to the domain of attraction of the normal law, two results concerning the rescaled range statistic are investigated in this paper. More specifically, we obtain precise asymptotics in the law of the logarithm related to complete convergence and a.s. convergence under some mild conditions.     

Central Limit Theorems for Reduced U‐Statistics Under Dependence and Their Usefulness

A reduced ‐statistic is a ‐statistic with its summands drawn from a restricted but balanced set of pairs. In this article, central limit theorems are derived for reduced ‐statistics under ‐mixing, which significantly extends the work of Brown & Kildea in various aspects. It will be shown and illustrated that reduced ‐statistics are quite useful in deriving test statistics in various nonparametric testing problems.     

Tests for structural breaks in memory parameters of long-memory heterogeneous autoregressive models

Tests for structural breaks in the coefficients of the long-memory heterogeneous autoregressive (HAR) models are developed. The tests are based on the partial sum process of the normalized efficient score vector. The tests have the nice property of identifying the parameters of the daily, weekly, and monthly regressors in which breaks occur. Limiting null distributions of the proposed tests are proven to be derived from standard Brownian bridges. A finite sample Monte-Carlo experiment shows reasonable size and power properties of the proposed tests. The proposed method is illustrated by a real data analysis.     

The strategic use of Twitter to manage personal public relations

This study examined the effect of personal public relations developed through Twitter on cognitive and attitudinal aspects, particularly focusing on the use of Twitter by CEOs. According to the responses of young consumers who participated in this study, their attitudes toward the use of Twitter by CEOs positively influenced their perception of transformational leadership (H1). Further, perceived transformational leadership was positively associated with attitudes toward CEOs using Twitter; this in turn positively influenced attitudes toward corporations (H2). The positive evaluation of the use of Twitter by CEOs directly influenced attitudes toward such CEOs (H3), whereas attitudes toward such use did not influence attitudes toward corporations. The results indicated that microblogging is beneficial for the development of effective personal public relations by corporate leaders.