From Zero to Hero? An analysis of the human rights protections within the Global Compact for Safe,Orderly and Regular Migration (GCM)

This article examines the Global Compact for Safe, Orderly and Regular Migration (GCM) from three perspectives: First, while the GCM is not legally binding, the human rights obligations of states which underpin the GCM are. The application of international human rights law to everyone, including migrants, has led to frictions in the inter‐governmental negotiation process, with some states declining to sign the GCM. States cannot relieve themselves of the human rights obligations to which they are already, voluntarily, bound by refusing to sign the GCM. Second, the GCM asserts the human rights of migrants, and by implication condemns state practices contrary thereto, but it also yields to political sensitivities. Thus, we encounter a Compact that defends existing human rights standards, but concurrently submits to political will and tolerates conditions of vulnerability. Third, the GCM’s implementation depends upon, as yet undefined, partnerships with non‐State actors and monitoring against human rights standards.     

Assessment of Patient Classification in Appointment System Design

This paper investigates two approaches to patient classification: using patient classification only for sequencing patient appointments at the time of booking and using patient classification for both sequencing and appointment interval adjustment. In the latter approach, appointment intervals are adjusted to match the consultation time characteristics of different patient classes. Our simulation results indicate that new appointment systems that utilize interval adjustment for patient class are successful in improving doctors' idle time, doctors' overtime and patients' waiting times without any trade‐offs. Best performing appointment systems are identified for different clinic environments characterized by walk‐ins, no‐shows, the percentage of new patients, and the ratio of the mean consultation time of new patients to the mean consultation time of return patients. As a result, practical guidelines are developed for managers who are responsible for designing appointment systems.     

Dummy Endogenous Variables in Weakly Separable Models

In this paper, we consider the nonparametric identification and estimation of the average effect of a dummy endogenous regressor in models where the regressors are weakly but not additively separable from the error term. The model is not required to be strictly increasing in the error term, and the class of models considered includes limited dependent variable models such as discrete choice models. Conditions are established conditions under which it is possible to identify the average effect of the dummy endogenous regressor in a weakly separable model without relying on parametric functional form or distributional assumptions and without the use of large support conditions.     

A Perception Survey for the Evaluation of Urban Quality of Life in Kocaeli and a Comparison of the Life Satisfaction with the European Cities

Studies on urban quality of life (QoL) have been attracting lots of attention from various countries due to the deterioration of urban environment and decrease of the urban QoL. These studies that have been supported by international organizations such as United Nations, World Bank, OECD, European Commission and EUROSTAT (European Statistics) involve comparative assessment of life satisfaction in the European cities and comparing cities facilitate the exchange of experiment and improve the quality of local policies. The main objective of this study is to measure the local perceptions of QoL in Kocaeli, which is one of the important industrial cities of Turkey and compare the life satisfaction with the European cities. Generally, two different types of indicators have been used: objective and subjective indicators. The objective indicators cover five fields: socio-economic aspects, participation in civic life, education and training, environment and culture, and leisure. The subjective indicators are mainly for valuation of QoL perceptions in a city. In this research, a perception survey will be carried out to measure the local perceptions of QoL in Kocaeli. This survey will present on issues for which the residents in the Kocaeli had widely diverging opinions: employment opportunities, housing costs, safety, cleanliness of city, public transport, air quality and overall satisfaction with the QoL of their city. Thus, the study will become a major reference for local officials to improve QoL in Kocaeli and contribute to researches on QoL in cities.     

Communication With Unknown Perspectives

Consider a group of individuals with unobservable perspectives (subjective prior beliefs) about a sequence of states. In each period, each individual receives private information about the current state and forms an opinion (a posterior belief). She also chooses a target individual and observes the target's opinion. This choice involves a trade‐off between well‐informed targets, whose signals are precise, and well‐understood targets, whose perspectives are well known. Opinions are informative about the target's perspective, so observed individuals become better understood over time. We identify a simple condition under which long‐run behavior is history independent. When this fails, each individual restricts attention to a small set of experts and observes the most informed among these. A broad range of observational patterns can arise with positive probability, including opinion leadership and information segregation. In an application to areas of expertise, we show how these mechanisms generate own field bias and large field dominance.     

Conceptualising Euro-Islam: managing the societal demand for religious reform

Political, public and academic debates about the need for a ‘Euro-Islam’ as a necessary condition for the full integration of Muslim are widespread and strong. For Muslims and Muslim organisations in particular, Euro-Islam can be understood as subverting the very nature of their religious identity, making change or reform impossible. This raises the question as to how Muslim organisations reject the idea of the need for a Euro-Islam by construing the core of their faith as not being contradictory with Western values, norms and beliefs. The current study examines this question amongst two major Turkish Muslim organisations (Milli Görü? and Fethullah Gülen) in the Netherlands and Germany. The analysis shows that in managing the demand for reform a distinction was made between Islam as a belief system and Muslims as a group of people, between religion and culture as two types of belief systems and between politics and the true nature of the West.     

A Universal Appointment Rule in the Presence of No‐Shows and Walk‐Ins

This study introduces a universal “Dome” appointment rule that can be parameterized through a planning constant for different clinics characterized by the environmental factors—no‐shows, walk‐ins, number of appointments per session, variability of service times, and cost of doctor's time to patients’ time. Simulation and nonlinear regression are used to derive an equation to predict the planning constant as a function of the environmental factors. We also introduce an adjustment procedure for appointment systems to explicitly minimize the disruptive effects of no‐shows and walk‐ins. The procedure adjusts the mean and standard deviation of service times based on the expected probabilities of no‐shows and walk‐ins for a given target number of patients to be served, and it is thus relevant for any appointment rule that uses the mean and standard deviation of service times to construct an appointment schedule. The results show that our Dome rule with the adjustment procedure performs better than the traditional rules in the literature, with a lower total system cost calculated as a weighted sum of patients’ waiting time, doctor's idle time, and doctor's overtime. An open‐source decision‐support tool is also provided so that healthcare managers can easily develop appointment schedules for their clinical environment.     

Children's disaster knowledge,risk perceptions,and preparedness: A cross-country comparison in Nepal and Turkey

While children are one of the groups at risk in disasters, they can also take an active part in disaster management, provided that the opportunity is given. This research examined the effect of disaster experience, disaster education, country, and city socioeconomic status on children's perceived risk and preparedness with a survey of 1335 children between 11 and 14 years old, in Nepal and Turkey. The survey used questionnaires and the pictorial representation of illness and self measure (PRISM) tool. Results showed that (1) children's risk perceptions were in line with their country-specific objective risks; (2) there were differences between the countries in relation to perception of risk for all the hazards except wildfire; (3) socioeconomic status had a statistically significant effect on children's perceptions of risk and preparedness for earthquakes, wildfires, that is, children who live in wealthier places had higher perceived risk and preparedness; (4) children in both countries showed similar trends in their knowledge of the correct protective actions to take in the event of a hazard occurrence. However, there is still room to enhance children's knowledge, in terms of safety behaviors, as the children selected many incorrect protective actions. There are important implications in terms of child-centered disaster management which hopefully will make life safer and help to create more resilience to disaster in society as a whole.     

Likelihood ratio procedures and tests of fit in parametric and semiparametric copula models with censored data

Copula models for multivariate lifetimes have become widely used in areas such as biomedicine, finance and insurance. This paper fills some gaps in existing methodology for copula parameters and model assessment. We consider procedures based on likelihood and pseudolikelihood ratio statistics and introduce semiparametric maximum likelihood estimation leading to semiparametric versions. For cases where standard asymptotic approximations do not hold, we propose an efficient simulation technique for obtaining p-values. We apply these methods to tests for a copula model, based on embedding it in a larger copula family. It is shown that the likelihood and pseudolikelihood ratio tests are consistent even when the expanded copula model is misspecified. Power comparisons with two other tests of fit indicate that model expansion provides a convenient, powerful and robust approach. The methods are illustrated on an application concerning the time to loss of vision in the two eyes of an individual.     

Day-of-the-Week Effects in Subjective Well-Being: Does Selectivity Matter?

Individuals tend to self-report higher well-being levels on certain days of the week than they do on the remaining days, controlling for observables. Using the 2008 release of the British Household Panel Survey, we test whether this empirical observation suffers from selection bias. In other words, we examine if subjective well-being is correlated with unobserved characteristics that lead the individuals to take the interview on specific days of the week. We focus on two distinct well-being measures: job satisfaction and happiness. We provide convincing evidence for both of these measures that the interviews are not randomly distributed across the days of the week. In other words, individuals with certain unobserved characteristics tend to take the interviews selectively. We conclude that a considerable part of the day-of-the-week patterns can be explained by a standard “non-random sorting on unobservables” argument rather than “mood fluctuations”. This means that the day-of-the-week estimates reported in the literature are likely to be biased and should be treated cautiously.