Economic distress and health: A fixed effects analysis of low‐income persons in Singapore

Using fixed effects regressions, this study examined the transactional effects of different types of economic status on the physical and mental health of low‐income persons in Singapore. Among the economic variables considered, unemployment and arrears had the most significant effects. This signals the physical and psychological distress of being out of work and possessing arrears while income is low. The insignificant effects of poor health on household earnings suggest possible earnings supplementation by other household members. The findings imply the fruitfulness of dually improving employment prospects and health, work activation that takes into consideration mental health effects, increasing affordability of health services in liberal welfare systems, improving mental bandwidth through reducing arrears accounts, and short lag time from application to receipt of assistance. These implications point to a larger question on health and welfare systems in an increasingly uncertain economic environment for households in poverty. Key Practitioner Message: ? Employment and health are inter‐related: employment assistance incorporating physical and mental health interventions and vice versa can be more effective than either alone; ? Compared with decreasing arrears amounts, reducing the number of arrears can more effectively relieve mental distress; ? Effects between economic distress and health materialise quickly; minimising the lag time between application and receipt of assistance will provide great relief.     

Fostering global dialogue: Conceptualisations of children's rights to participation and protection

The children's rights and child protection sectors are at a critical juncture: will they evolve to reflect and respond to changing conceptualisations in the 21st century or will they continue to reproduce 19th- and 20th-century preoccupations with saving child victims? Informed by systematic reviews of the English- and Latin American academic literature in Spanish and Portuguese and key informant interviews with international stakeholders, this paper fosters global dialogue with some Global South and Global North perspectives about the interconnections of children's rights. It explores current conceptualisations of child participation and protection, and concludes that children's rights will only progress after recognition of limitations inherent to current conceptualisations.     

Welfare Attitudes of Singaporeans – Ambiguity in Shifting Socio‐political Dynamics

This article presents findings from a survey of 440 Singaporeans on their attitudes towards welfare and welfare recipients. Attitudes were generally favourable, but sentiments towards higher taxes to help the poor were ambivalent. Controlled for demographic characteristics, ‘poverty sympathizers’ and affiliates of opposition political parties held the most liberal views, but were not more willing to pay higher taxes. Instead, poor respondents on the one hand and highly educated respondents on the other hand were more willing to pay higher taxes. Knowledge accumulation and beliefs about causes of poverty were strong predictors of attitudes. Effects of personal values and self‐interest were less evident. Couched against the backdrop of an economy that has experienced rapid transformation and one of the widest income inequality in the developed world, the article discusses the critical juncture of social response and policy choices that Singapore finds itself.     

Search for relevant subsets of binary predictors in high dimensional regression for discovering the lead molecule

One of the main problems that the drug discovery research field confronts is to identify small molecules, modulators of protein function, which are likely to be therapeutically useful. Common practices rely on the screening of vast libraries of small molecules (often 1–2 million molecules) in order to identify a molecule, known as a lead molecule, which specifically inhibits or activates the protein function. To search for the lead molecule, we investigate the molecular structure, which generally consists of an extremely large number of fragments. Presence or absence of particular fragments, or groups of fragments, can strongly affect molecular properties. We study the relationship between molecular properties and its fragment composition by building a regression model, in which predictors, represented by binary variables indicating the presence or absence of fragments, are grouped in subsets and a bi-level penalization term is introduced for the high dimensionality of the problem. We evaluate the performance of this model in two simulation studies, comparing different penalization terms and different clustering techniques to derive the best predictor subsets structure. Both studies are characterized by small sets of data relative to the number of predictors under consideration. From the results of these simulation studies, we show that our approach can generate models able to identify key features and provide accurate predictions. The good performance of these models is then exhibited with real data about the MMP–12 enzyme.     

Unpacking the Displacement-Migration Nexus: Evidence from Northern Iraq

Recent conflicts have increasingly produced a twofold, forced movement of people: internal displacement and forced migration. While the co-occurrence of these phenomena is an acknowledged fact, there is not yet an understanding of their relation in terms of either the scale or the process contributing to it. This article seeks to fill this gap by questioning the relation between conflict-induced displacement and migration in and from Iraq. The analysis is based on survey data (500 questionnaires) and 29 semi-structured interviews with Iraqi IDPs residing in the Kurdistan Region of Iraq and national and international key informants. Based on the findings, the study concludes that the aspiration to leave Iraq is primarily attributable to the structural enduring condition of Iraq, rather than an individual condition – a finding that uneasily translates into the new framework for intervention in conflict-affected and fragile contexts premised on deterring migration.     

Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs

Approximate Bayesian computation (ABC) has become one of the major tools of likelihood-free statistical inference in complex mathematical models. Simultaneously, stochastic differential equations (SDEs) have developed to an established tool for modelling time-dependent, real-world phenomena with underlying random effects. When applying ABC to stochastic models, two major difficulties arise: First, the derivation of effective summary statistics and proper distances is particularly challenging, since simulations from the stochastic process under the same parameter configuration result in different trajectories. Second, exact simulation schemes to generate trajectories from the stochastic model are rarely available, requiring the derivation of suitable numerical methods for the synthetic data generation. To obtain summaries that are less sensitive to the intrinsic stochasticity of the model, we propose to build up the statistical method (e.g. the choice of the summary statistics) on the underlying structural properties of the model. Here, we focus on the existence of an invariant measure and we map the data to their estimated invariant density and invariant spectral density. Then, to ensure that these model properties are kept in the synthetic data generation, we adopt measure-preserving numerical splitting schemes. The derived property-based and measure-preserving ABC method is illustrated on the broad class of partially observed Hamiltonian type SDEs, both with simulated data and with real electroencephalography data. The derived summaries are particularly robust to the model simulation, and this fact, combined with the proposed reliable numerical scheme, yields accurate ABC inference. In contrast, the inference returned using standard numerical methods (Euler–Maruyama discretisation) fails. The proposed ingredients can be incorporated into any type of ABC algorithm and directly applied to all SDEs that are characterised by an invariant distribution and for which a measure-preserving numerical method can be derived.