A Note on Measuring the Depth of Minimum Wage Violation

In the empirical literature on minimum wage enforcement, the standard approach is to measure the number of violations, not their depth. In this paper we present a family of violation indices that, by analogy with poverty indices, can emphasize the depth of violation to different degrees. The standard measure is a special case of this family of indices, but other members of the family highlight the depth of violation. We present an application to South Africa to show that the depth of violation matters, and is not captured by the standard measure in actual situations.     

Process evaluation of the midwifery initiated oral health-dental service program: Perceptions of midwives in Greater Western Sydney,Australia

Background

Despite links between poor maternal oral health, adverse pregnancy outcomes and early childhood decay there is limited emphasis on maternal oral health in Australia. To address this, the Midwifery Initiated Oral Health Dental Service (MIOH-DS) program was developed in collaboration with the Australian College of Midwives.

Using Community-Based Participatory Research Strategies in Age-Friendly Communities to Solve Mobility Challenges

ABSTRACT

The number of older adults is steadily increasing in the United States and across the globe. Aging is linked to an increased risk of disability. Disabilities that limit one or more major life activities such as seeing, hearing, walking, and motor skills impact a person’s ability to drive a car. Low utilization of alternative transportation by older adults and people with disabilities may put them at risk for social isolation. Social isolation is associated with a variety of negative health outcomes. While communities are challenged to create available, acceptable, accessible, adaptable and affordable mobility options, there are widely held, inaccurate biases around older adults’ abilities to contribute to the development and improvement of alternative transportation options. Gerontological social workers are well-positioned to address this bias. This paper presents a case study of a large metropolitan county in the Midwest where community-based participatory research (CBPR) strategies were used to engage older residents to support the development of alternative transportation options supporting the tenets of environmental justice.     

Social Capital,Diversity and Giving or Receiving Help Among Neighbours

In this paper we look at the links between social capital and helping neighbours or receiving help from neighbours. Our data are drawn from the 2003 and 2008 Canadian General Social Surveys, both of which looked at linkages across social networks. In particular, we examine the relationship between municipal, neighbourhood and individual level ethnicity social capital formation and the level of helping amongst neighbours. Using a combination of factor analysis and random intercept model regressions, we find a strong link between social capital formation and helping, but do not find strong links between diversity, social capital and helping. This suggests that previous research, which found strong links between diversity and social capital, may be overstated.     

Does Good Governance Enhance Happiness: A Cross Nation Study

The purpose of this paper is to analyze the efficiency of the countries over the period of 10 years by applying data envelopment analysis (DEA). Based on rational and factual parameters such as freedom of press, freedom of religion, percentage of export in Gross Domestic Product (GDP), index of globalization, life expectancy at birth, gender ratio etc., this paper attempts to measure the efficiency of happiness. A combination of social and economic factors has been used to measure technical efficiency. The contribution of this paper is twofold. First, it measures the relative efficiency of all the countries included in the study. The nations have been ranked as per their relative efficiency and the peer group has been formed. Second a comparison between the rich and the poor countries have been done to test empirically whether the economic growth enhances the happiness among people. Presently, more than 3,000 studies have been published on happiness and Veenhoven in 2004 created a database called World Database of Happiness. The World Database of Happiness has attempted to present the available research findings on happiness. Part of the findings on happiness in nations is available in ‘States of nations’. For the research purpose, States of Nations and the data published by have been considered. Although happiness has been quantified and the existing literature has sufficient empirical evidences of the same, in the present context, the relative efficiency has been calculated for the countries on basis of objective and subjective happiness parameters. As per the literature, happiness has two aspects (1) objective and (2) subjective. Objective parameters are external to the individuals and covers material living parameters viz. GDP growth, income, nutrition, mortality rate, literacy etc. However, Subjective indicators measure the quality of life of the individuals. These are summarized as ‘‘subjective well-being’’. The various parameters considered in the study capture different aspects of happiness. The result shows how the government can increase the happiness of the people by analyzing the behavior and expectations. People express their preference explicitly about political parties, religion believes, law and order situation, trust in official institutions etc. Although, the behavior of people largely depends upon availability of goods and services in the market, the government can make budgets according to priority or preferences of people. Another way to increase happiness can be done by analyzing the peer group, which is an outcome of DEA. This shows the nations which are similar in terms of their economic and social conditions. The government can compare the prevailing conditions in different countries that improve the condition in their respective country. This could be an effective method as some of the parameters can be replicable in order to make people happier. The limitation of this study is lack of availability of data for many countries. As the number of countries increases, a change in the relative efficiency can be observed. Therefore, a future study can be conducted where the relevant data can be collected and a more global result can be obtained.     

Children’s Exposure to Intimate Partner Violence: A Qualitative Interpretive Meta-synthesis

The negative consequences of children’s exposure to parental intimate partner violence (IPV) are well documented in the literature; however, few studies examine the experience from the child’s perspective. This qualitative interpretive meta-synthesis (QIMS) explores the lived experience of children’s exposure to parental IPV. We conducted a QIMS of nine studies from the United States and Europe. The QIMS method was developed specifically for social work and involves synthesizing the results of multiple qualitative studies on a specific topic into a new synergetic understanding. We identified four themes: context of the abuse, immediate reactions to the abuse, sequelae reactions, and coping. Further reduction indicated that coping with exposure to parental intimate partner violence exists on a spectrum ranging from integration to distancing. Social workers are critical in helping children learn strategies for managing their emotions. The results of this study inform social workers about the context and purposes of the behaviors that children exposed to parental intimate partner violence may display.     

Diagnostic plots for identifying max domains of attraction under power normalization

Diagnostic plots for determining the max domains of attraction of power normalized partial maxima are proposed. A test to ascertain the veracity of the claim that data distribution belongs to a max domain of attraction under power normalization is given. The performance of this test is demonstrated using data simulated from many well-known distributions. Furthermore, two real-world datasets are analysed using the proposed procedure.     

Effects of Uncertainties on Exposure Estimates to Methylmercury: A Monte Carlo Analysis of Exposure Biomarkers versus Dietary Recall Estimation

This article presents a general model for estimating population heterogeneity and "lack of knowledge" uncertainty in methylmercury (MeHg) exposure assessments using two-dimensional Monte Carlo analysis. Using data from fish-consuming populations in Bangladesh, Brazil, Sweden, and the United Kingdom, predictive model estimates of dietary MeHg exposures were compared against those derived from biomarkers (i.e., [Hg]hair and [Hg]blood). By disaggregating parameter uncertainty into components (i.e., population heterogeneity, measurement error, recall error, and sampling error) estimates were obtained of the contribution of each component to the overall uncertainty. Steady-state diet:hair and diet:blood MeHg exposure ratios were estimated for each population and were used to develop distributions useful for conducting biomarker-based probabilistic assessments of MeHg exposure. The 5th and 95th percentile modeled MeHg exposure estimates around mean population exposure from each of the four study populations are presented to demonstrate lack of knowledge uncertainty about a best estimate for a true mean. Results from a U.K. study population showed that a predictive dietary model resulted in a 74% lower lack of knowledge uncertainty around a central mean estimate relative to a hair biomarker model, and also in a 31% lower lack of knowledge uncertainty around central mean estimate relative to a blood biomarker model. Similar results were obtained for the Brazil and Bangladesh populations. Such analyses, used here to evaluate alternative models of dietary MeHg exposure, can be used to refine exposure instruments, improve information used in site management and remediation decision making, and identify sources of uncertainty in risk estimates.     

Immigration,labor force integration and the pursuit of self-employment

A correspondence analysis was used to examine the entire working life cycle of Canadian-born male age-education cohorts and immigrant male age-education cohorts who arrived during 1945-61. Data were drawn from the 1961 and 1971 census databases as well as the 1981 and 1991 public individual files. Findings support the existence of a split labor market based on immigrant status, particularly at the low end of the schooling spectrum. In 1961, immigrants with low levels of schooling were closely associated with the wage construction sector, whereas Canadian-born males below the high school level would most likely gravitate towards consumer services. Meanwhile, immigrants with a high school education were likely to be in consumer services; whereas, Canadian-born males with a high school education were closely aligned with public administration and distributive services. Moreover, immigrants with higher levels of schooling were less likely to work in ethnically dominated markets, while immigrants with low schooling moved into the self-employed construction sector. The existence of a split in the labor market was evident among workers with lower levels of schooling compared with university-educated workers.     

Managing Enterprise Risks of Technological Systems: An Exploratory Empirical Analysis of Vulnerability Characteristics as Drivers of Exploit Publication*

Enterprises experience opportunistic exploits targeted at vulnerable technology. Vulnerabilities in software‐based applications, service systems, enterprise platforms, and supply chains are discovered and disclosed on an alarmingly regular basis. A necessary enterprise risk management task concerns identifying and patching vulnerabilities. Yet it is a costly affair to develop and deploy patches to alleviate risk and prevent damage from exploit attacks. Given the limited resources available, technology producers and users must identify priorities for such tasks. When not overlooked, vulnerability‐patching tasks often are prioritized based on vulnerability disclosure dates, thus vulnerabilities disclosed earlier usually have patches developed and deployed earlier. We suggest priorities also should focus on time‐dependent likelihoods of exploits getting published. We analyze data on software exploits to identify factors associated with the duration between a vulnerability discovery date and the date when an exploit is publicly available, a time window for patching before exploit attack levels may escalate. Actively prioritizing vulnerability patching based on likelihoods of exploit publication may help lessen losses due to exploit attacks. Technology managers might apply the insights to better estimate relative risk levels, and better prioritize protection efforts toward vulnerabilities having higher risk of earlier exploitation.