Foreign workers in Kuwait: implications for the Kuwaiti labor force

An analysis of the foreign population in Kuwait shows that foreign nationals make up 60 percent of the population and 78 percent of the labor force in Kuwait. The implications of these figures for the Kuwaiti labor force are discussed by analyzing the occupational structures of Kuwaitis and non-Kuwaitis. "Structural analysis of the labor force indicates that 62 percent of Kuwaiti males are concentrated in administrative and service occupations while their percentage in sales and production work has declined during 1970-80. This demonstrates the need for reorienting educational/training programs and changing Kuwaiti attitudes towards manual work to ensure the realization of the 'Kuwaitization' process, and balance the nationals with foreign nationals." mortality has stabilized at relatively high levels and there is resistance to family planning. The author concludes that the main cause of the stalling of the demographic transition process is to be found in the role of the state and the dynamics of the social structure and that "demographic trends will depend more on the changes in social structure, land reforms, and response of the formal governing system to the needs of the underprivileged sections of the society, rather than on the health and family planning policies."     

The relative economic progress of male foreign workers in Kuwait

"A human capital framework is utilized to examine the economic progress of nine nationality groups of foreign workers [in Kuwait] using data from the 1983 national Labor Survey. The sources of earnings' variations of particular interest to us included different degrees of education and experience transferability, occupational affiliation and ethnic background. In general, the results derived from the analysis suggest that 1) foreign workers achieve a discernible economic progress as their residence lengthens; 2) the rate of economic progress varies depending on worker's education, home and Kuwait-specific experience, occupational status and ethnic background; and 3) about one third of the earnings inequality is due to unexplained factors including discrimination."     

Emigration dynamics from and within South Asia

This review of current knowledge about emigration dynamics from and within South Asia (Bangladesh, India, Pakistan, and Sri Lanka) opens with a brief history of the three phases of emigration from the area since the 1830s (plantation labor; postindependence to the UK, US, Canada, and Australia; and labor migration to the oil-exporting countries). The influence of the creation of Pakistan and Bangladesh is also covered as are British colonial and commonwealth policies. It is noted that migration data are incomplete and that India exhibits an ambivalence about collecting such information. The discussion then turns to emigration since 1970 and considers permanent migration from South Asia to the traditional receivers; South Asian asylum seekers in Europe; South Asian refugees, illegal migrants, migrant workers (flows and destinations), the stock of contract migrant workers (and their characteristics); returnee migrant workers; and skill levels. Analysis is provided of macro level determinants of emigrations such as gross national product (level and growth), the general demographic and social situation, labor force growth and structure, poverty and inequality, and internal and international migration. Environmental factors causing displacement in Southern Asia include floods, cyclones, river bank erosion, drought, and desertification. Global warming could displace millions of people in the region, and development projects have contributed to displacement. The remainder of the report covers political and ethnic factors, micro-factors influencing migration decision-making, the policies of sending and receiving countries, the consequences of emigration, and the potential for migration in the future.     

What is Mentoring?

What is mentoring? Is it just a buzz word or is this really valuable? How can mentoring help one to grow and advance personally and professionally? How and where does one even begin? Many of us have these questions. In this article, I will share my perspective and provide some reflections on these questions based on my own personal and professional journey.     

Shared frailty model based on reversed hazard rate for left censored data

Frailty models are used in the survival analysis to account for the unobserved heterogeneity in the individual risks to disease and death. To analyze the bivariate data on related survival times (e.g., matched pairs experiments, twin or family data), the shared frailty models were suggested. In this article, we introduce the shared gamma frailty models with the reversed hazard rate. We develop the Bayesian estimation procedure using the Markov chain Monte Carlo (MCMC) technique to estimate the parameters involved in the model. We present a simulation study to compare the true values of the parameters with the estimated values. We apply the model to a real life bivariate survival dataset.     

Righting anachronistic exclusions: The ethics of blood donation by men who have sex with men

ABSTRACT

Recently, the FDA announced that it would soon lift the long-standing lifetime ban on blood donation by men who have sex with men (MSM). Reexamining blood donation by MSM, it is clear that there are several ethical goods that must be balanced. Through balancing the primary duty to safety with the imperatives to craft a policy that is formally equal, upholds the public's trust, and is nondiscriminatory, an ethical blood donation deferral guideline may be advanced, both for MSM and the population at large.     

Merging data from multiple sources: pretest and shrinkage perspectives

In this article, we have developed asymptotic theory for the simultaneous estimation of the k means of arbitrary populations under the common mean hypothesis and further assuming that corresponding population variances are unknown and unequal. The unrestricted estimator, the Graybill-Deal-type restricted estimator, the preliminary test, and the Stein-type shrinkage estimators are suggested. A large sample test statistic is also proposed as a pretest for testing the common mean hypothesis. Under the sequence of local alternatives and squared error loss, we have compared the asymptotic properties of the estimators by means of asymptotic distributional quadratic bias and risk. Comprehensive Monte-Carlo simulation experiments were conducted to study the relative risk performance of the estimators with reference to the unrestricted estimator in finite samples. Two real-data examples are also furnished to illustrate the application of the suggested estimation strategies.     

Correlated gamma frailty models for bivariate survival data

Frailty models are used in the survival analysis to account for the unobserved heterogeneity in individual risks to disease and death. To analyze the bivariate data on related survival times (e.g., matched pairs experiments, twin or family data) the shared frailty models were suggested. Shared frailty models are used despite their limitations. To overcome their disadvantages correlated frailty models may be used. In this article, we introduce the gamma correlated frailty models with two different baseline distributions namely, the generalized log logistic, and the generalized Weibull. We introduce the Bayesian estimation procedure using Markov chain Monte Carlo (MCMC) technique to estimate the parameters involved in these models. We present a simulation study to compare the true values of the parameters with the estimated values. Also we apply these models to a real life bivariate survival dataset related to the kidney infection data and a better model is suggested for the data.     

A Cost–Benefit Analysis of a Family Systems Intervention for Managing Pediatric Chronic Illness

Despite recent increases of psychosocial programs for pediatric chronic illness, few studies have explored their economic benefits. This study investigated the costs–benefits of a family systems‐based, psychosocial intervention for pediatric chronic illness (MEND: Mastering Each New Direction). A quasi‐prospective study compared the 12‐month pre–post direct and indirect costs of 20 families. The total cost for program was estimated to $5,320. Families incurred $15,249 less in direct and $15,627 less in indirect costs after MEND. On average, medical expenses reduced by 86% in direct and indirect costs, for a cost–benefit ratio of 0.17. Therefore, for every dollar spent on the program, families and their third payers saved approximately $5.74. Implications for healthcare policy and reimbursements are discussed.