The Clash between Social Policy and Traditional Values: Unmet Welfare Needs Sustained by the Culture of Familism in South Korea

Drawing from a wider study of the ideas of poverty and inequality in South Korea, this paper reports on the lived experiences of disadvantaged South Koreans and their relationship to the National Basic Livelihood Security System (NBLSS), a flagship social assistance program aimed at addressing poverty and inequality. Utilizing a cultural approach to understanding and analysing policy responses to poverty, the impact of familism in the application of the NBLSS safety net is examined. Research data is presented through the testimonies, obtained through qualitative research interviews, of disadvantaged research participants and those who work with them, as well as policy‐makers' perspectives, revealing key flaws in the current NBLSS policy objectives. It is clearly evident that, by clinging to outdated Confucian conceptualizations of familial piety as a justification for highly selectivist access to what is no more than a subsistence level of financial support for poor people, the proposition of a poverty safety net is compromised and is widely missing its aim of reducing poverty and inequality in contemporary South Korea.     

Self-Regulatory Driving Behaviors: Gender and Transportation Support Effects

This study examined the relationship between transportation support and self-regulatory driving behaviors of 566 community-dwelling older adults living in retirement communities, with a focus on gender differences. The results of logistic regression analysis showed that older women were more likely to avoid driving at night or on the highway than their male counterparts. Transportation support from peer friends was found to increase the likelihood of self-regulatory driving behaviors. The findings of this study imply that transportation policy and driving safety programs for older adults need to be developed, considering available transportation alternatives and gender differences in driving behaviors.     

Bayesian variable selection for multioutcome models through shared shrinkage

Variable selection over a potentially large set of covariates in a linear model is quite popular. In the Bayesian context, common prior choices can lead to a posterior expectation of the regression coefficients that is a sparse (or nearly sparse) vector with a few nonzero components, those covariates that are most important. This article extends the “global‐local” shrinkage idea to a scenario where one wishes to model multiple response variables simultaneously. Here, we have developed a variable selection method for a K‐outcome model (multivariate regression) that identifies the most important covariates across all outcomes. The prior for all regression coefficients is a mean zero normal with coefficient‐specific variance term that consists of a predictor‐specific factor (shared local shrinkage parameter) and a model‐specific factor (global shrinkage term) that differs in each model. The performance of our modeling approach is evaluated through simulation studies and a data example.     

Support for torture over time: Interrogating the American public about coercive tactics

In this study, we examine what influences public attitudes toward torture and whether the public's attitude affects or is affected by shifts in presidential policy on torture. We employed ten surveys over five years that looked at approval of torture, as well as two surveys that asked questions about specific methods. We find that public support for torture has risen mildly, but a resilient ambivalence best describes the public's attitude. The public was not affected by the change in government from an administration that strongly supported enhanced interrogation techniques to one that opposed them, and labeled them torture. Public opinion also seemed unaffected by the increased criticism of torture generally. Large majorities oppose most specific methods of interrogation, while at times a majority supports torture in general. We also find support for torture and specific methods is affected most strongly by partisanship and ideology.     

The Performance of Periodic Autoregressive Models in Forecasting Seasonal U.K. Consumption

The parameters of a periodic model are allowed to vary according to the time at which observations are made. Periodic autoregressive models are fitted to the quarterly values of seasonally unadjusted real nondurable consumers' expenditure for the United Kingdom and its components. The periodic model offers no improvement over conventional specifications if the aggregate is modeled directly. On the other hand, periodic models generally perform well for the components, which contain additional seasonal information. The choice between a periodic or nonperiodic specification is also shown to have an important influence on the resulting dynamic properties.     

Can Body Mass Index (BMI) be used as a proxy for somatotype?

In a paper published in The Social Science Journal, Maddan et al. [Maddan, S., Walker, J. T., & Miller, J. M. (2008). Does size really matter? A reexamination of Sheldon's somatotypes and criminal behavior. The Social Sciences Journal, 45, 330–344.] proposed that Body Mass Index (BMI) can be used as proxy for somatotype, a quantitative system for describing body build, in social science research. This paper tests this proposal using a sample of 200 males from an archival data set collected by Sheldon [Sheldon, W. H. (1942). The varieties of temperament: A psychology of constitutional differences (with S.S. Stevens). New York: Harper and Row Publishers.]. The data included somatotype data, height, and weight. BMI was calculated and individuals were assigned to the categories endomorph, mesomorph, and ectomorph based on the Maddan et al. BMI criteria. The BMI method was only able to correctly classify 110 individuals, 55% of the sample. This finding suggests that BMI is an inadequate proxy for somatotype.     

A network ridesharing experiment with sequential choice of transportation mode

Within the last decade, there has been a dramatic bloom in ridesharing businesses along with the emergence of new enabling technologies. A central issue in ridesharing, which is also important in the general domain of cost-sharing in economics and computer science, is that the sharing of cost implies positive externalities and hence coordination problems for the network users. We investigate these problems experimentally in the present study. In particular, we focus on how sequential observability of transportation mode choices can be a powerful facilitator of coordination in ridesharing. Our study abstracts the essential issues of coordination in ridesharing into a directed network game with experimentally testable predictions. In line with the theoretical analysis, our experimental evidence shows that even a limited extent of sequential choice observability might lead to efficient coordination. However, convergence to efficiency is slower with more limited observability, resulting in a significant increase in travel cost.     

When nature pushes back: environmental impact and the spatial redistribution of socially vulnerable populations

Objectives. This research investigates the spatial redistribution of socially vulnerable subpopulations during long-term recovery from natural disaster. We hypothesize that the local environmental impact of a disaster influences this redistribution process and that how it does so varies by the urban or rural context in which the disaster occurs.Methods. To test these hypotheses, we use a novel research design that combines the natural experiment offered by Hurricane Andrew with GIS technology and local census data.Results. Findings indicate that in a more urbanized disaster zone (Miami), long-term recovery displaces socially disadvantaged residents from harder-hit areas; yet, in a more rural disaster zone (southwestern Louisiana), long-term recovery concentrates socially disadvantaged residents within these harder-hit areas.Conclusion. These findings bridge classic and contemporary research on postdisaster recovery and open new terrain for thinking about how environmental and social forces intersect to transform regions in different settlement contexts.