Disaggregate-level estimates of indebtedness in the state of Uttar Pradesh in India: an application of small-area estimation technique

The National Sample Survey Organisation (NSSO) surveys are the main source of official statistics in India, and generate a range of invaluable data at the macro level (e.g. state and national levels). However, the NSSO data cannot be used directly to produce reliable estimates at the micro level (e.g. district or further disaggregate level) due to small sample sizes. There is a rapidly growing demand of such micro-level statistics in India, as the country is moving from centralized to more decentralized planning system. In this article, we employ small-area estimation (SAE) techniques to derive model-based estimates of the proportion of indebted households at district or at other small-area levels in the state of Uttar Pradesh in India by linking data from the Debt–Investment Survey 2002–2003 of NSSO and the Population Census 2001 and the Agriculture Census 2003. Our results show that the model-based estimates are precise and representative. For many small areas, it is even not possible to produce estimates using sample data alone. The model-based estimates generated using SAE are still reliable for such areas. The estimates are expected to provide invaluable information to policy analysts and decision-makers.     

‘Like walking on eggshells’: service user views and expectations of the child protection system

This paper reports on a study of service users' views on Irish child protection services. Qualitative interviews were conducted with 67 service users, including young people between 13 and 23. The findings showed that despite refocusing and public service management reforms, service users still experience involvement with the services as intimidating and stressful and while they acknowledged opportunities to participate in the child protection process, they found the experience to be very difficult. Their definition of ‘needs’ was somewhat at odds with that suggested in official documentation, and they viewed the execution of a child protection plan more as a coercive requirement to comply with ‘tasks’ set by workers than a conjoint effort to enhance their children's welfare. As in previous studies, the data showed how the development of good relationships between workers and service users could compensate for the harsher aspects of involvement with child protection. In addition, this study demonstrated a high level of discernment on the part of service users, highlighting their expectation of quality standards in respect of courtesy, respect, accountability, transparency and practitioner expertise.     

Implementing Consumer Choice in Long‐term Care: The Impact of Individual Budgets on Social Care Providers in England

In common with many advanced welfare states, England has increasingly relied on consumerist principles to deliver both greater quality and improved efficiency in the long‐term care system. The Individual Budget (IB) pilots marked the next step in this process, through a new system of funding whereby greater control of resources is given to service users, in lieu of direct in‐kind care provision. IBs have the potential to transform the market for care services as well as the relationships between key stakeholders within it. Purchasing will increasingly be shaped by the demands of IB holders, with providers expected to deliver a wider range of personalized services. What will this mean for providers, and what can they do to prepare for these changes? These questions are relevant not just in England but in many other countries adopting similar mechanisms for devolving control over the design, delivery and funding of care to the end‐user. The article explores the early impact of IBs on providers' services, on their workforces, and on the administrative implications for providers of managing IBs. The study finds that providers were positive about the opportunities for better‐quality services that IBs can bring about. However, participants highlighted a number of obstacles to their effectiveness, and reported a range of potentially adverse administrative and workforce consequences which have the potential to jeopardize the consumerist policy objectives of increased choice and efficiency.     

Gambling Control Self-efficacy as a Mediator of the Effects of Low Emotional Intelligence on Problem Gambling

This study investigated whether lower emotional intelligence would be related to less self-efficacy to control gambling and more problem gambling and whether gambling self-efficacy would mediate the relationship between emotional intelligence and problem gambling. A total of 117 participants, including 49 women and 68 men, with an average age of 39.93 (SD = 13.87), completed an emotional intelligence inventory, a gambling control self-efficacy scale, and a measure of problem gambling. Lower emotional intelligence was related to lower gambling self-efficacy and more problem gambling. Gambling control self-efficacy partially mediated the relationship between emotional intelligence and problem gambling.     

Relabelling in Bayesian mixture models by pivotal units

Label switching is a well-known and fundamental problem in Bayesian estimation of finite mixture models. It arises when exploring complex posterior distributions by Markov Chain Monte Carlo (MCMC) algorithms, because the likelihood of the model is invariant to the relabelling of mixture components. If the MCMC sampler randomly switches labels, then it is unsuitable for exploring the posterior distributions for component-related parameters. In this paper, a new procedure based on the post-MCMC relabelling of the chains is proposed. The main idea of the method is to perform a clustering technique on the similarity matrix, obtained through the MCMC sample, whose elements are the probabilities that any two units in the observed sample are drawn from the same component. Although it cannot be generalized to any situation, it may be handy in many applications because of its simplicity and very low computational burden.     

Servers and providers: the distribution of food within the family*

We examine the nature of decision-making surrounding food provision within families and the patterns of food distribution established. The analysis draws upon detailed interview material and dairy records gather from 200 women currently bringing up young children. The sexual divisions and power relations which characterize families are found to have an impact on the choice of food for family consumption and on women's theories concerning the food needs of family members. The manner in which these theories are given concrete expression in the differential distribution of meat both between the sexes and intergenerationally is revealed. Variations in the extent of such inequalities are assessed with reference to the nature of the work undertaken by the marital partners and their relative control over money.     

Concise or comprehensive? Predictors of impact assessment choices for electric transmission line projects

Environmental impact assessment (EIA) procedures required in the United States and many other countries are often highlighted as a major hindrance to timely and efficient deployment of critical infrastructure projects. Under the U.S. National Environmental Policy Act, a more extensive environmental impact statement (EIS) review can take several more years and cost much more than a succinct environmental assessment (EA). This not only affects the project in question, but also likely informs how—or whether—additional projects are pursued. Thus, understanding key predictors of the EA versus EIS choice sheds light on supply-side considerations affecting infrastructure deficits. Using the case of NEPA reviews conducted for 244 transmission line projects between 2005 and 2018 by two U.S. federal agencies in the western United States, the Bureau of Land Management (BLM) and Department of Energy (DOE), this addresses the following question: What project features most predict whether EA or an EIS is used to assess a transmission line project? Drawing upon NEPA assessment guidance and agency NEPA records, we use a regression classification tree to analyze how protocols and project attributes relate to assessment choice. The result is essentially a null finding: transmission line length is by far the most important predictor of whether a project receives an extensive EIS or a shorter EA, with little predictive value provided by other attributes. While absolute project size undoubtedly influences impacts, the lack of further differentiation in what predicts use of EISs versus EAs suggests assessment does not simply respond to project details but also shapes proposal and design choices beforehand.     

Finite mixtures of quantile and M-quantile regression models

In this paper we define a finite mixture of quantile and M-quantile regression models for heterogeneous and /or for dependent/clustered data. Components of the finite mixture represent clusters of individuals with homogeneous values of model parameters. For its flexibility and ease of estimation, the proposed approaches can be extended to random coefficients with a higher dimension than the simple random intercept case. Estimation of model parameters is obtained through maximum likelihood, by implementing an EM-type algorithm. The standard error estimates for model parameters are obtained using the inverse of the observed information matrix, derived through the Oakes (J R Stat Soc Ser B 61:479–482, 1999) formula in the M-quantile setting, and through nonparametric bootstrap in the quantile case. We present a large scale simulation study to analyse the practical behaviour of the proposed model and to evaluate the empirical performance of the proposed standard error estimates for model parameters. We considered a variety of empirical settings in both the random intercept and the random coefficient case. The proposed modelling approaches are also applied to two well-known datasets which give further insights on their empirical behaviour.     

Does Mixed Methods Research Matter to Understanding Childhood Well-Being?

There has been a rich debate in development studies on combining research methods in recent years. We explore the particular challenges and opportunities surrounding mixed methods approaches to childhood well-being. We argue that there are additional layers of complexity due to the distinctiveness of children’s experiences of deprivation or ill-being. This paper is structured as follows. Sections 2 and 3 discuss the nature of mixed methods approaches and tensions. Sections 4 and 5 apply these debates to researching childhood well-being in particular, in both Northern and Southern contexts. Section 6 concludes and discusses future work.