Approximate composite marginal likelihood inference in spatial generalized linear mixed models

Non-Gaussian spatial responses are usually modeled using spatial generalized linear mixed model with spatial random effects. The likelihood function of this model cannot usually be given in a closed form, thus the maximum likelihood approach is very challenging. There are numerical ways to maximize the likelihood function, such as Monte Carlo Expectation Maximization and Quadrature Pairwise Expectation Maximization algorithms. They can be applied but may in such cases be computationally very slow or even prohibitive. Gauss–Hermite quadrature approximation only suitable for low-dimensional latent variables and its accuracy depends on the number of quadrature points. Here, we propose a new approximate pairwise maximum likelihood method to the inference of the spatial generalized linear mixed model. This approximate method is fast and deterministic, using no sampling-based strategies. The performance of the proposed method is illustrated through two simulation examples and practical aspects are investigated through a case study on a rainfall data set.     

Linear scalar-on-surface random effects regression models

Many research fields increasingly involve analyzing data of a complex structure. Models investigating the dependence of a response on a predictor have moved beyond the ordinary scalar-on-vector regression. We propose a regression model for a scalar response and a surface (or a bivariate function) predictor. The predictor has a random component and the regression model falls in the framework of linear random effects models. We estimate the model parameters via maximizing the log-likelihood with the ECME (Expectation/Conditional Maximization Either) algorithm. We use the approach to analyze a data set where the response is the neuroticism score and the predictor is the resting-state brain function image. In the simulations we tried, the approach has better performance than two other approaches, a functional principal component regression approach and a smooth scalar-on-image regression approach.     

Population aging and long-term care policies in the Gulf region: a case study of Oman

Population aging is a phenomenon occurring across the globe including in countries traditionally exhibiting population dividends and “youth bulges.” The Gulf Corporation Council countries are no exception as they currently experience a process of population aging, albeit at a different stage from many developed countries. However, due to historically high fertility rates and fast-paced epidemiological transition, some of these countries will experience population aging at a higher pace than what has been observed in Europe and the United States. This article reviews recent developments in long-term care policies in the Gulf region with a focus on Oman as an example of a high-income Arab country that is experiencing population aging while still being governed by traditional family aged-care norms. Utilizing existing data and published research complemented by policy analysis and field visits, we analyze the process of population aging in Oman and neighboring countries and its policy implications.     

Social policies and solidarity during the Greek Crisis

This article provides a succinct overview of the phenomenon of solidarization in crisis‐ridden Greece. Brief accounts of the pre‐ and post‐crisis situation in four core social policy areas (health, employment, housing, education) are combined with the presentation of four illustrative case studies, one for each of the aforementioned areas. Drawing on a broad range of primary and secondary data, including 20 in‐depth interviews with key stakeholders and end‐users of the actions examined, we argue that while the crisis provoked a further “residualization” of the institutionalized solidarity system, it also triggered the development of new solidarity ventures, both by state and non‐state actors, often even including partnerships between them. These ventures reflect the building of a bridge between institutionalized and informal solidarity in Greece and the shift towards a new type of mixed, although fragmented, mode of solidarity.     

Life and labor on the internal colonial edge: Political economy of kolberi in Rojhelat

Through the investigation of kolberi (cross-border labor), this paper sheds light on the state’s policy of de-development (or internal colonialization) of the Kurdish region (known as Rojhelat) in Iran. While the most dangerous form of labor, kolberi has become a dominant employment opportunity for Rojhelat Kurds in the last decade. There are no Iranian state laws criminalizing kolberi, and yet those laborers die on a regular basis—being shot or thrown off mountain cliffs by the state forces, stepping into minefields, and so forth. Nevertheless, there is not a single scholarly paper on this subject. Using the mixed methods research approach, our study analyzes the existing data along with in-depth interviews with 20 people who are currently engaged in kolberi to contextualize this understudied phenomenon. Our finding demonstrates that kolberi is a direct outcome of a uni-ethno-religious policies of development and part and parcel of the state's Perso-Shi‘ification strategy in Kurdistan. Therefore, kolberi is more of a political phenomenon than an economic one.     

A comparison study on modeling of clustered and overdispersed count data for multiple comparisons

Data collected in various scientific fields are count data. One way to analyze such data is to compare the individual levels of the factor treatment using multiple comparisons. However, the measured individuals are often clustered – e.g. according to litter or rearing. This must be considered when estimating the parameters by a repeated measurement model. In addition, ignoring the overdispersion to which count data is prone leads to an increase of the type one error rate. We carry out simulation studies using several different data settings and compare different multiple contrast tests with parameter estimates from generalized estimation equations and generalized linear mixed models in order to observe coverage and rejection probabilities. We generate overdispersed, clustered count data in small samples as can be observed in many biological settings. We have found that the generalized estimation equations outperform generalized linear mixed models if the variance-sandwich estimator is correctly specified. Furthermore, generalized linear mixed models show problems with the convergence rate under certain data settings, but there are model implementations with lower implications exists. Finally, we use an example of genetic data to demonstrate the application of the multiple contrast test and the problems of ignoring strong overdispersion.     

Investigating the differential mobility experiences of Chinese cross-border students

Recent migration studies have adopted the lens of mobility to examine the stratifying effects of border policies, but few investigate the differential mobility of migrant families and children. This paper aims to contribute to the migration literature by considering the interplay between border policies, family configurations, and differential mobility. We apply the lens of differential mobility to the experiences of Chinese cross-border pupils – young child migrants with Hong Kong permanent residency who reside in Shenzhen, China, and cross the border to attend school. We begin by describing shifts in Hong Kong’s border and immigration policies since 1997, which have created a typology of families differentiated by mixed status, citizenship rights, and mobility. We then turn to four case studies of students with unequal border-crossing experiences to elucidate how border control constrains or promotes family mobility and perpetuates inequalities.     

Policy advocacy for women's unpaid care work: comparing approaches and strategies in Nepal and Nigeria

This article focuses on policy advocacy programmes in Nepal and Nigeria, instigated by ActionAid International with local women's rights organisations and non-government organisations, and supported by the Institute of Development Studies, UK. These programmes aimed to challenge women's unequal responsibility for care work and to influence policymakers to understand the importance of providing services to support them. One of the main components of these programmes was child care, a responsibility which most women experience 24/7 for at least two decades of their lives, and which profoundly shapes their lives and opportunities. We examine the processes through which each of the country teams have engaged with public policies on this issue, focusing on the similarities and differences in each context. Although the programme of activities has been implemented in much the same way in both countries, and each chose to focus on early child-care provision as the main policy demand, the partnerships and policy processes chosen differ greatly. Specifically, we distinguish between ‘critical engagement’ (in the case of Nepal), as compared to ‘constructive engagement’ (in the case of Nigeria). The article ends with some reflections on the challenges facing the teams during their work, and the implications and lessons that can be drawn from these two case studies.     

我国亲告罪追诉模式之困境及其重构——以网络诽谤案件的证据收集问题为切入点

网络诽谤犯罪属于《刑法》规定的亲告罪类型,此类案件中被害人的证据收集能力受到较大制约,导致其面临“自诉困境”。对此问题,不论是亲告罪的选择性公诉化,还是公权力适当介入证据收集过程的处理路径均存在不足。《刑法修正案(九)》针对网络侮辱、诽谤犯罪的证据收集问题作出新规定,但是无法扩张适用于所有亲告罪类型。亲告罪的自诉困境凸显出我国对亲告罪确立的单纯自诉制追诉模式存在显著缺陷：不利于对被害人的平等保护,以及混淆告诉权和举证责任。重构亲告罪追诉模式的前提是对刑事法中的“告诉”进行重新解释,使其本质回归为诉讼条件,与证明责任“解绑”。在模式选择上,应确立混合告诉制的追诉模式,被害人提起告诉后,可以自主选择适用自诉程序还是公诉程序。