Improved Estimates and Confidence Intervals for Regenerative Simulation

In regenerative simulation, one frequently requires an estimate or a confidence interval for the ratio of the means of the two components of a certain bivariate random quantity. Estimation of this ratio has been studied by many authors and most recently by Asmussen and Rydén(2010 Asmussen, S., Rydén, T. (2010). A note on skewness in regenerative simulation. Communications in Statistics—Simulation and Computation 40: 45–57.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]). Here, we propose an estimate that performs better than the best of the known estimates. Our estimate is also lot simpler than the best known estimate.     

Effect of COVID-19 on Household Food Insecurity and Poverty: Evidence from Ghana

Social Indicators Research - Following the outbreak of COVID-19 and its heavy toll on the global community and humanity, a fierce debate on the pandemic and Sustainable Development Goals (SDGs)...     

LGBT Health in the Midlands: A Rural/Urban Comparison of Basic Health Indicators

Research into the health and wellbeing of rural lesbian, gay, bisexual, and transgender (LGBT) populations is limited. A community-based participatory research (CBPR) approach was used to develop an online survey for LGBT Nebraskans. The 770 participants replied to an array of questions on social determinants of health and basic health outcomes. Only significant differences in having health insurance were found between urban and rural participants. Social determinants of health were explored. Results of this study suggest that regional culture may be more salient to health for lesbian, gay, bisexual, and transgender persons living in the Midwest than rural or urban residence.     

To test or not to test: do workplace drug testing programs discourage employee drug use?

Workplace drug testing programs are often met with intense criticism. Despite resistance among labor and consumer groups and a lack of rigorous empirical evidence regarding effectiveness, drug testing programs have remained popular with employers throughout the 1990s and into the current century. The present study analyzed nationally representative data on over 15,000 US households to determine whether various types of workplace drug testing programs influenced the probability of drug use by workers. The study estimated several empirical specifications using both univariate and bivariate probit techniques. The specification tests favored the bivariate probit model over the univariate probit model. Estimated marginal effects of drug testing on any drug use were negative, significant, and relatively large, indicating that drug testing programs are achieving one of the desired effects. The results were similar when any drug use was replaced with chronic drug use in the models. These results have important policy implications regarding the effectiveness and economic viability of workplace anti-drug programs.     

Business Mobilization and Public Policy in the U.S. States*

Objective. The goal of this study is to examine how the political mobilization of business interests influences aggregate public policy outputs in the states. We examine the relationship between business mobilization and general state policy liberalism, as well as policy that we term state “business policy climate.” Methods. We construct a measure of the “business policy climate” from a number of tax and regulatory indicators in the states and examine whether business influences it and policy liberalism using ordinary least squares regression. Results. The analysis shows that business mobilization does not influence general policy liberalism but is a significant influence on a state's business policy climate. Specifically, the dominance of a state's campaign finance system by business interests makes policy more favorable toward business. Conclusions. The extent of business mobilization in a state is an important influence on public policy outputs but is constrained by the activities of other political actors such as unions.     

Understanding the socio-economic distribution of multiple deprivation: An application of self-organising maps

In this paper we seek to contribute to recent efforts to develop and implement multi-dimensional approaches to social exclusion by applying self-organising maps (SOMs) to a set of material deprivation indicators from the Irish component of EU-SILC. The first stage of our analysis involves the identification of sixteen clusters that confirm the multi-dimensional nature of deprivation in contemporary Ireland and the limitations of focusing solely on income. In going beyond this mapping stage, we consider both patterns of socio-economic differentiation in relation to cluster membership and the extent to which such membership contributes to our understanding of economic stress. Our analysis makes clear the continuing importance of traditional forms of stratification relating to factors such as income, social class and housing tenure in accounting for patterns of multiple deprivation. However, it also confirms the role of acute life events and life cycle and location influences. Most importantly, it demonstrates that conclusions relating to the relative impact of different kinds of socio-economic influences are highly dependent on the form of deprivation being considered. Our analysis suggests that debates relating to the extent to which poverty and social exclusion have become individualized should take particular care to distinguish between different kinds of outcomes. Further analysis demonstrates that the SOM approach is considerably more successful than a comparable latent class analysis in identifying those exposed to subjective economic stress.     

Women’s mobility and ‘transport-related social exclusion’ in Bishkek

This paper analyses gendered mobilities in Bishkek in the space of the most popular form of public transport: the minibus, or ‘marshrutka’. As the means by which women often access various important sites of daily life, the marshrutka itself is a site of negotiation and interaction. Utilizing theories of mobility and empirical data, we argue that marshrutkas are spaces that can give rise to two dichotomous conditions: positive marshrutka experiences may increase the social mobility of female passengers and subsequently increase social empowerment and influence, while negative ones can provide the grounds for social exclusion and gender inequality.     

Life Satisfaction in Australia: Evidence from Ten Years of the HILDA Survey

Employing data from the Household, Income and Labour Dynamics in Australia survey, this paper examines the level, determinants and distribution of self-reported life satisfaction, as well as the prevalence and severity of dissatisfaction in Australia over the period 2001–2010. Against most objective measures Australia’s economic performance during this period was exemplary. Yet our results indicate a steady decline in life satisfaction from 2003 onwards, as well as a diminishing gap between the life satisfaction of males and females. Results also suggest that inequality in life satisfaction has generally declined. Geographic heterogeneity in the distribution of life satisfaction is apparent, and a number of socio-economic and demographic factors are found to serve an important role in determining an individual’s level of life satisfaction. Measures of the extent of dissatisfaction reveal an encouraging downward trend and provide policy makers with an alternative perspective from which to assess societal welfare.