Construction and Initial Validation of the Planned Happenstance Career Inventory

This study was conducted to develop and initially evaluate the psychometric properties of the Planned Happenstance Career Inventory (PHCI), which aims to assess skill in using chance events to develop career opportunities. After item generation and exploratory factor analysis, 130 original items were reduced to 25 items across 5 factors (5 items for each corresponding factor). Multigroup confirmatory factor analysis confirmed the validity of this 5‐factor structure, and the goodness of fit showed an adequate fit to the observed data for both women and men. Results showed that PHCI subscales correlated moderately and in expected directions with career preparation, career decision‐making self‐efficacy, and career stress. These findings suggest that the PHCI, which assesses 5 dimensions of career‐related planned happenstance skill, shows promise as a useful tool for facilitating understanding of the influence of chance events on career choice behavior.     

Deaf people and economic well-being: findings from the Life Opportunities Survey

The present study used propensity score analysis to compare the economic well-being of people with and without hearing impairment in the UK. Using nationally representative 2009/10 Life Opportunities Survey, our study found that economic well-being was significantly worse for people with hearing impairment than people without hearing impairment. Hearing impaired people (1) had lower household income, (2) experienced greater difficulties making ends meets, (3) were unable to pay for unexpected but necessary expenses of ?500, and (4) were less likely to work in paid jobs even after accounting for other demographic characteristics. The findings underscore the barriers and discrimination against people with hearing impairment in the UK. Policy measures to increase access and engagement of hearing impaired people should be considered, including increasing investment in better employment opportunities, sign interpretation, and disability benefits.     

Homelessness and Children's Use of Mental Health Services: A Population-Based Study

This study examined whether children who become homeless differ from other low-income children in their mental health service use before and after their first homeless episode, and to what extent homelessness is associated with an increased likelihood of mental health service use. Differences between children with and without new onset of sheltered homelessness in the use of mental health services emerged following homelessness and widened over time. Sheltered homelessness and foster care placement history were associated with increased odds of receiving inpatient and ambulatory mental health services. Findings underscore the importance of collaborations between homeless assistance, foster care, and mental healthcare in efforts to mitigate family homelessness and collateral needs among homeless children.     

Robust Bayesian estimation of a bathtub-shaped distribution under progressive Type-II censoring

The bathtub-shaped failure rate function has been used for modeling the life spans of a number of electronic and mechanical products, as well as for modeling the life spans of humans, especially when some of the data are censored. This article addresses robust methods for the estimation of unknown parameters in a two-parameter distribution with a bathtub-shaped failure rate function based on progressive Type-II censored samples. Here, a class of flexible priors is considered by using the hierarchical structure of a conjugate prior distribution, and corresponding posterior distributions are obtained in a closed-form. Then, based on the square error loss function, Bayes estimators of unknown parameters are derived, which depend on hyperparameters as parameters of the conjugate prior. In order to eliminate the hyperparameters, hierarchical Bayesian estimation methods are proposed, and these proposed estimators are compared to one another based on the mean squared error, through Monte Carlo simulations for various progressively Type-II censoring schemes. Finally, a real dataset is presented for the purpose of illustration.     

Disability discrimination in South Korea: routine and everyday aggressions toward disabled people

In the past, the type of discrimination against persons with disabilities in South Korea was seen mainly as being related to the physical environment and social systems that ignored disability. However, the emergence of social model and anti-discrimination laws established in numerous countries has rapidly expanded the scope of social participation for persons with disabilities as well as their awareness of their rights. This article posits that a type of disability discrimination that could emerge in the future is microaggression, which can appear in diverse forms in newly formed human relationships as the scope of social participation increases.     

A MACROECONOMIC ANALYSIS OF ENERGY SUBSIDIES IN A SMALL OPEN ECONOMY

We construct a dynamic model of a small open economy to analyze the effects of large energy subsidies. The model includes domestic energy production and consumption, trade in energy at world market prices, as well as private and public sector production. The model is calibrated to Egypt and used to study reforms such as reductions in energy subsidies with corresponding reductions in various tax instruments or increases in infrastructure investment. We calculate the new steady states, transition paths to the new steady state, and the size of the associated welfare losses or gains. Our main results for a 15% cut in energy subsidies are: (1) Steady state gross domestic product drops in most of our experiments as less energy is used in production. (2) Steady state consumption rises in most of our experiments. (3) Welfare can rise by as much as 0.6% in consumption equivalent terms. (4) The largest gains in terms of output and of welfare can be obtained when savings from energy subsidy cuts are used to fund additional infrastructure investment. (JEL E21, E63, H55, J26, J45)     

Theoretical properties of tests for spatial clustering of count data

Testing for spatial clustering of count data is an important problem in spatial data analysis. Several procedures have been proposed to this end but despite their extensive use, studies of their fundamental theoretical properties are almost non‐existent. The authors suggest two conditions that any reasonable test for spatial clustering should satisfy. The latter are based on the notion that the null hypothesis should be rejected almost surely as the amount of spatial clustering tends to infinity. The authors show that the chisquared test and the Potthoff—Whittinghill V have both properties but that other classical tests do not.     

Robust Bayesian estimation of a two-parameter exponential distribution under generalized Type-I progressive hybrid censoring

A generalized Type-I progressive hybrid censoring scheme was proposed recently to overcome the limitations of the progressive hybrid censoring scheme. In this article, we provide a robust Bayesian method to estimate the unknown parameters of the two-parameter exponential distribution of a generalized Type-I progressive hybrid censored sample. For each parameter, we derive the marginal posterior density functions and the corresponding Bayesian estimators under the squared error loss function. To assess the proposed method, Monte Carlo simulations are performed using a real dataset.     

The Buffering Effects of Social Capital on Inequalities in Subjective Well-Being Among Older People

Social Indicators Research - Empirical evidence regarding the buffering effects of community social capital on health inequality is limited. This study aims to examine the moderating effects of a...     

Bayesian inference on extreme value distribution using upper record values

In this paper we address estimation and prediction problems for extreme value distributions under the assumption that the only available data are the record values. We provide some properties and pivotal quantities, and derive unbiased estimators for the location and rate parameters based on these properties and pivotal quantities. In addition, we discuss mean-squared errors of the proposed estimators and exact confidence intervals for the rate parameter. In Bayesian inference, we develop objective Bayesian analysis by deriving non informative priors such as the Jeffrey, reference, and probability matching priors for the location and rate parameters. We examine the validity of the proposed methods through Monte Carlo simulations for various record values of size and present a real data set for illustration purposes.