The measurement of opportunity inequality: a cardinality-based approach

We consider the problem of ranking distributions of opportunity sets on the basis of equality. First, conditional on a given ranking of individual opportunity sets, we define the notion of an equalizing transformation. Then, assuming that the opportunity sets are ranked according to the cardinality ordering, we formulate the analogues of the notions of the Lorenz partial ordering, equalizing (Dalton) transfers, and inequality averse social welfare functions – concepts which play a central role in the literature on income inequality. Our main result is a cardinality-based analogue of the fundamental theorem of inequality measurement: one distribution Lorenz dominates another if and only if the former can be obtained from the latter by a finite sequence of rank preserving equalizations, and if and only if the former is ranked higher than the latter by all inequality averse social welfare functions. In addition, we characterize the smallest monotonic and transitive extension of our cardinality-based Lorenz inequality ordering. Received: 2 May 1995 / Accepted: 11 October 1996     

Fuzzy measurement of income inequality: a class of fuzzy inequality measures

The typical practice of income inequality evaluation is by using inequality indices. Yet there is no best measure of inequality as we know it, and hence, any conclusion based on an inequality index must be subject to some doubts. Some authors even argued that the concept of inequality, by its very nature, is vague, and thus, cannot be measured like an exact concept. Motivated by these considerations, this paper studies axiomatic fuzzifications of inequality measures. Consequently, a systematic method of viewing the conclusions of inequality comparisons in terms of truth value statements is developed. Furthermore, it is shown that this method (or in fact, any other fuzzy inequality measure) can be used to construct confidence intervals for the crisp conclusions of inequality indices.I wish to thank Kaushik Basu, Larry Blume, Gary Fields, Tapan Mitra, Maurice Salles, Anthony Shorrocks, Sinan Unur, the participants of the 1993 Midwest Mathematical Economics Conference held in University of Wisconsin at Madison and those of the 2nd International Meeting of the Society for Social Choice and Welfare held at University of Rochester, and two anonymous referees for insightful comments and suggestions. Janos Aczel and Karol Baron kindly provided some help about a mathematical problem I faced, I am grateful to them. Needless to mention, however, the usual disclaimer applies.     

A Bayesian multiple structural change regression model with autocorrelated errors

This paper develops a new Bayesian approach to change-point modeling that allows the number of change-points in the observed autocorrelated times series to be unknown. The model we develop assumes that the number of change-points have a truncated Poisson distribution. A genetic algorithm is used to estimate a change-point model, which allows for structural changes with autocorrelated errors. We focus considerable attention on the construction of autocorrelated structure for each regime and for the parameters that characterize each regime. Our techniques are found to work well in the simulation with a few change-points. An empirical analysis is provided involving the annual flow of the Nile River and the monthly total energy production in South Korea to lead good estimates for structural change-points.     

A 3-parameter Gompertz distribution for survival data with competing risks,with an application to breast cancer data

The cumulative incidence function is of great importance in the analysis of survival data when competing risks are present. Parametric modeling of such functions, which are by nature improper, suggests the use of improper distributions. One frequently used improper distribution is that of Gompertz, which captures only monotone hazard shapes. In some applications, however, subdistribution hazard estimates have been observed with unimodal shapes. An extension to the Gompertz distribution is presented which can capture unimodal as well as monotone hazard shapes. Important properties of the proposed distribution are discussed, and the proposed distribution is used to analyze survival data from a breast cancer clinical trial.     

Resilience and Decision‐Making Strategies as Predictors of Career Decision Difficulties

The purpose of this study was to examine resilience and decision‐making strategies as predictors of difficulties experienced during the career decision‐making process. College students (N = 364) responded to measures of resilience, career decision‐making strategies, and career decision difficulties. Results indicated that resilience and decision‐making strategies accounted for 46% of the variance in career decision difficulties. Resilience had a greater influence on problems encountered during decision making than on problems encountered at the outset of the process. Different decision‐making strategies appeared to be related to difficulties encountered at different stages of the decision‐making process. For example, aspiration for an ideal occupation was positively associated only with lack of readiness. Procrastination was the only strategy related to all three decision difficulties: lack of readiness, lack of information, and inconsistent information. The results indicated the importance of decreasing procrastination at all stages of decision making and the need to promote resilience to deal with decision difficulties.     

When does multitasking facilitate information processing? Effects of Internet-based multitasking on information seeking and information gain

This study examined whether Internet-based multitasking facilitates information gain by allowing users to seek additional information online. Study 1, using survey data, suggested that TV-Internet multitasking increased information gain, whereas TV-print media multitasking reduced it. In addition, online information seeking mediated the effect of TV-Internet multitasking on information gain. Study 2, using experimental data, confirmed the differential effects of TV-Internet multitasking and TV-print multitasking on information gain. The theoretical and practical implications of these findings are further discussed.     

Healing from Childhood Sexual Abuse: A Meta-Synthesis of Qualitative Studies

ABSTRACT

Although the global prevalence of childhood sexual abuse (CSA) is very high, the experience of healing after such abuse has not been well documented. The goal of this study was to characterize the healing experience among CSA survivors presented in the literature. Metaethnography was used to synthesize an integrative literature review. The CINAHL, PubMed, PsycINFO, and Web of Science databases were used as data sources. Eight articles that explored healing experiences from CSA, published between 2007 and 2017, were included in the analysis. After performing a quality assessment, line-of-argument synthesis was used to construct the integrating scheme of healing experiences from CSA. CSA healing experiences included dissociating oneself from the memories of CSA, finding peace by creating a comfort zone, disclosure as the start of healing, attempting to establish identity through ongoing self-reflective activities, feeling comfort by sharing experiences and connecting with CSA survivors, and accepting CSA as part of the life history and stepping forward. Healing experiences from CSA synthesized from the analysis focused on personal growth, supporting previous theory on CSA health in the broader literature. A tailored care plan could be developed for CSA survivors who are at varying stages of healing.     

Individual Disaster Assistance For Socially Vulnerable People: Lessons Learned From the Pohang Earthquake in the Republic of Korea

The Republic of Korea has been considered to be relatively safe from earthquake hazards because of the geological location of the Korean Peninsula, which has a low level of intraplate seismic activity. However, an earthquake with a moment magnitude of 5.4 struck the city of Pohang on November 15, 2017, causing 90 casualties and 52 million USD in property losses. During the recovery process after the earthquake, the Korean government provided individual disaster assistance to victims who reported their damages. However, the government disaster assistance could have been unfairly distributed among the socially vulnerable victims who essentially relied on that assistance. This study identifies whether the government disaster assistance was fairly distributed to socially vulnerable victims using a statistical model based on the data from the Pohang earthquake that occurred in 2017 in Korea. A conceptual model was constructed using a structural equation model (SEM) of three factors—social vulnerability, physical vulnerability, and the amount paid out in individual disaster assistance. Furthermore, interviews with and a survey of the victims were conducted to verify the problems identified by the conceptual model. This study found that socially vulnerable victims were less likely to take advantage of the government disaster assistance program.     

The effects of autonomy support and psychological capital on readiness for independent living through personal growth initiative among youth in out‐of‐home care

This study explored the effects of the factors on independent living readiness among youth under out‐of‐home care. Specifically, this study focused on the effects of caregivers' autonomy support and psychological capital on independent living readiness through personal growth initiative. A total of 215 youth who were expected to be discharged from caring institution within three years were gathered for the survey, and the final sample was 194 after excluding incomplete responses. Structural equation modeling with Mplus (version 7) was used to test research model and hypotheses in the study. Results showed that the research model was appropriated with several fit indices satisfied and that all the hypotheses were supported. Also, direct and indirect effects of independent variables were fully supported. However, the indirect effect of psychological capital was marginally significant. The results implicate that both caregiver's autonomy support and psychological capital are important for increasing personal growth initiative and that personal growth initiative served as a motivation to facilitating the readiness for independent living among children under institutional care.     

Simulation-Extrapolation via the Bezier Curve in Measurement Error Models

Simulation-extrapolation (SIMEX) is a method for correcting for bias in measurement error models, and parametric SIMEX estimates are often used. In this paper, we propose a nonparametric method for computing the SIMEX estimate via the Bezier curve, which is a popular smoothing technique in the computer graphics area. Comparisons are done for the bias of the limit values of parametric SIMEX estimates and the Bezier estimate in the various nonlinear measurement error models.