Family ties and economic stability concerns of migrant labour families in Jordan

74 labor migrant families from various socioeconomic classes in Amman, Jordan were interviewed to examine changes in relationships among family members, extended family, and neighbors and their concerns about economic stability in the host country, Jordan, and the world market. Another purpose was to determine how current migration policies of the Arab oil-producing countries which prohibit labor migrants from bringing their families to the host country affect labor migration among families. The families consisted of either those who did or did not accompany the labor migrant. Overall labor migration affected unaccompanied families more than accompanied families, e.g., only 19% of the unaccompanied families reported increased family unity compared with 56% of accompanied families. Problems within unaccompanied families increased in 43% of the cases but in only 6% of the accompanied families. Many of these problems resulted in children dropping out of school which reflected the control fathers had within the family, separation, or divorce. Yet labor migration reduced family ties with extended family members and neighbors almost equally for both groups. Accompanied families were not as concerned about economic stability in Jordan as unaccompanied families (38% vs. 50%). Perhaps these families tended not to invest remittances received from the labor migrants working in Arab oil-producing countries in Jordan. Both groups were quite concerned about the economic stability in the host countries (66% and 72%, respectively) and the world market (59% and 62%, respectively), however. Since family unity suffers when families do not accompany labor migrants, it is suggested that oil-producing nations that depend on foreign labor should guarantee family unity as a human right.     

Nonparametric Shrinkage Estimation for Aalen's Additive Hazards Model

Aalen's nonparametric additive model in which the regression coefficients are assumed to be unspecified functions of time is a flexible alternative to Cox's proportional hazards model when the proportionality assumption is in doubt. In this paper, we incorporate a general linear hypothesis into the estimation of the time‐varying regression coefficients. We combine unrestricted least squares estimators and estimators that are restricted by the linear hypothesis and produce James‐Stein‐type shrinkage estimators of the regression coefficients. We develop the asymptotic joint distribution of such restricted and unrestricted estimators and use this to study the relative performance of the proposed estimators via their integrated asymptotic distributional risks. We conduct Monte Carlo simulations to examine the relative performance of the estimators in terms of their integrated mean square errors. We also compare the performance of the proposed estimators with a recently devised LASSO estimator as well as with ridge‐type estimators both via simulations and data on the survival of primary billiary cirhosis patients.     

State transition modeling of complex monitored health data

This article considers the analysis of complex monitored health data, where often one or several signals are reflecting the current health status that can be represented by a finite number of states, in addition to a set of covariates. In particular, we consider a novel application of a non-parametric state intensity regression method in order to study time-dependent effects of covariates on the state transition intensities. The method can handle baseline, time varying as well as dynamic covariates. Because of the non-parametric nature, the method can handle different data types and challenges under minimal assumptions. If the signal that is reflecting the current health status is of continuous nature, we propose the application of a weighted median and a hysteresis filter as data pre-processing steps in order to facilitate robust analysis. In intensity regression, covariates can be aggregated by a suitable functional form over a time history window. We propose to study the estimated cumulative regression parameters for different choices of the time history window in order to investigate short- and long-term effects of the given covariates. The proposed framework is discussed and applied to resuscitation data of newborns collected in Tanzania.     

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.     

Modified maximum likelihood estimator under the Jones and Faddy's skew t-error distribution for censored regression model

It is well-known that classical Tobit estimator of the parameters of the censored regression (CR) model is inefficient in case of non-normal error terms. In this paper, we propose to use the modified maximum likelihood (MML) estimator under the Jones and Faddy''s skew t-error distribution, which covers a wide range of skew and symmetric distributions, for the CR model. The MML estimators, providing an alternative to the Tobit estimator, are explicitly expressed and they are asymptotically equivalent to the maximum likelihood estimator. A simulation study is conducted to compare the efficiencies of the MML estimators with the classical estimators such as the ordinary least squares, Tobit, censored least absolute deviations and symmetrically trimmed least squares estimators. The results of the simulation study show that the MML estimators work well among the others with respect to the root mean square error criterion for the CR model. A real life example is also provided to show the suitability of the MML methodology.     

Spatio-temporal patterns of pre-eclampsia and eclampsia in relation to drinking water salinity at the district level in Bangladesh from 2016 to 2018

Population and Environment - This analysis examines whether salinity in drinking water is associated with pre-eclampsia and eclampsia (PE/E), a leading cause of maternal morbidity and mortality....     

Environmental practices and firm performance in emerging markets: the mediating role of product quality

Environmental practices have not received as much research attention in emerging market contexts as traditional topics like quality. However, the importance of environmental practices for a firm’s production strategy has been increasing at an unprecedented level across the globe. Our research objective is, therefore, to investigate the interplay between environmental practices and quality in the pursuit of firm performance. Relying on 492 responses from Turkish manufacturers to test our hypotheses, we show that environmental practices directly improve the quality of products over and above the effect of quality management practices in emerging markets. Product quality, in turn, is important for increasing firm performance, acting as a mediator for the positive effects of environmental practices on performance. Thus, we reveal that product quality functions as an instrumental conduit between environmental practices and firm performance in emerging markets like Turkey where stakeholder pressures are weak, and regulations are often not properly enforced.     

Migration,gender and low-paid work: on migrant men’s entry dynamics into the feminised social care work in the UK

The literature on workers in gender atypical occupations has been dominated by a focus on women doing men’s work. Much less attention has been paid to men in women’s work, and even less to the impact of migration. Based on 28 in-depth interviews with migrant men having experiences of working in hands-on social care in England, this article is a contribution to the understanding of migrant men’s entry dynamics into a female-dominated occupation. Focusing on migrant life experiences, it discusses how they actively engage in three entry dynamics: (1) facing barriers and negotiating them, (2) ‘stumbling upon’ women’s work, then developing compensating strategies and (3) migratory/temporary settling into the sector. The article suggests a theory about lifelong ‘travelling’ when entering women’s work: a continuing process of negotiating work options within a specific historical sector context, the intersection of gender and migration being part of this.