Taking Tilly south: durable inequalities, democratic contestation, and citizenship in the Southern Metropolis

Drawing on Charles Tilly’s work on inequality, democracy and cities, we explore the local level dynamics of democratization across urban settings in India, South Africa, and Brazil. In all three cases, democratic institutions are consolidated, but there is tremendous variation in the quality of the democratic relationship between cities and their citizens. We follow Tilly’s focus on citizenship as the key element in democratization and argue that explaining variance across our three cases calls for analyzing patterns of inequality through the kind of relational lens used by Tilly and recognizing that patterns of contestation are shaped by shifting political relationships between the nation and the city. We conclude that Tilly’s theoretical frame is nicely sustained by the comparative analysis of cases very different from those that stimulated his original formulations.     

Incorporating Follow-up Time in M-Estimation for Survival Data

It has been approximately 30 years since D.R. Cox introduced the proportional hazards method to model the relationship between covariates and survival time. However, the proportional hazards model has limited value when the proportionality assumption is violated. Over the years, there have many been many alternative proposals to the proportional hazards regression model for the case of right censored survival data, but to date none have demonstrated widespread acceptance. In general, problems encountered in these methods include their computational algorithms or evaluation of their asymptotic properties. In this work, an estimating equation based on a U-statistic of degree 2 is proposed. It is easy to implement and the U-statistic framework provides a straightforward development of asymptotic inferential theory for the regression parameters.     

Simultaneous Determination of Joint Product Cost Allocations and Cost-Plus Prices*

Use of the net realizable value approach for joint manufacturing cost allocations requires knowledge of selling prices of joint products. However, joint product selling prices themselves are functions of the allocated costs under a cost-plus pricing policy. In this case, it is necessary to determine joint cost allocations and joint product prices simultaneously. This paper applies a nonlinear programming (NLP) approach to simultaneously determine the optimal joint production decision, joint product cost-plus prices, and joint cost allocations using the net realizable value method. The NLP solution provides not only the optimal joint production and pricing decisions, but also the necessary conditions for such optimal decisions.     

Recognizing difference: in/visibility in the everyday life of individuals with facial limb absence

People who lack part(s) of their face have a visibly different appearance both due to their facial difference itself and the medical aids that they use to cover it (e.g. prostheses, bandages). In this article, we draw on interviews with affected individuals in order to investigate how visible difference features in their everyday experience. The visibility of their facial difference, we show, comes into play as they interact with various others in the contexts of their daily life. However, respondents’ visibility manifests in different ways, depending on whether they cover or uncover their facial difference. These different modes of visibility make for distinct ‘visibility experiences’, as participants meet others who notice – or fail to notice – their atypical appearance. By exploring these experiences, our article provides insights into the role of visibility in interviewees’ everyday life, and demonstrates how they actively negotiate their social recognition within encounters with various others.     

A cross-national and comparative classification of in-country awareness and policy responses to ‘young carers’

The reality for many families where there is chronic illness, mental health problems, disability, alcohol or substance misuse is that children under the age of 18 are involved in caring. Many of these children – known as ‘young carers’ – will be providing regular and significant care, either episodically or over many years, often ‘hidden’ to health, social care and other welfare professionals and services. These children have most often been invisible in social policy and professional practice. What are the reasons why some countries recognize young carers as a priority for social policy while others (most) do not? What are the key factors that influence a country’s awareness and responses to these children? This article provides an original classification and analysis of country-level responses to young carers, drawing on published research, grey literature, policy documents and the authors’ extensive engagement in policy and practice networks for young carers and their families in a wide range of countries. The analysis identifies two of the key factors that influence the extent and nature of these policy responses, focusing on the importance of a reliable in-country research base and the contribution of influential national NGOs and their networks.     

A nonparametric test to compare survival distributions with covariate adjustment

Summary.  The analysis of covariance is a technique that is used to improve the power of a k -sample test by adjusting for concomitant variables. If the end point is the time of survival, and some observations are right censored, the score statistic from the Cox proportional hazards model is the method that is most commonly used to test the equality of conditional hazard functions. In many situations, however, the proportional hazards model assumptions are not satisfied. Specifically, the relative risk function is not time invariant or represented as a log-linear function of the covariates. We propose an asymptotically valid k -sample test statistic to compare conditional hazard functions which does not require the assumption of proportional hazards, a parametric specification of the relative risk function or randomization of group assignment. Simulation results indicate that the performance of this statistic is satisfactory. The methodology is demonstrated on a data set in prostate cancer.