“Service” Municipal Administration as Part of the Development of Youth Entrepreneurship in Russia

The study offers a development of the social technologies of “service” municipal administration. The consumers’ opinions should be taken into consideration when determining the nomenclature and standards of their provision, which include the quality parameters that the consumers consider important. In addition, “service” relations imply the assessment of consumer satisfaction with the services and the correction of services based on the results of the assessment. Since this interaction implies communication between the municipal administration body and service users, it is necessary to focus on communicative technologies that are capable of providing a full cycle of service development and improvement for young entrepreneurs. Communications should help determine the expectations associated with a service, raise awareness thereof, and involve young people in the decisions related to the provision of services.     

Enrolment in Mathematics and Physics at The Advanced Level in Secondary School Among Two Generations of Highly Skilled Immigrants

This research focuses on enrolment in advanced level Mathematics and Physics in secondary school among first and second generations of Former Soviet Union immigrants and third generation Israeli‐born Jews. The article made use of the Israeli Ministry of Education's database, which includes data on all students who finished their secondary education with a matriculation certificate in 2013. Our findings show the advantage of enrolment in Physics, which is perceived as the most difficult subject, among FSU immigrant students compared to the third generation of Israeli‐born students. This advantage may be explained by their STEM (Science, Technology, Engineering and Mathematics)‐related cultural capital. However, first‐generation FSU students were less likely to be enrolled in advanced‐level Mathematics compared to third‐generation Jews. These findings may emphasize the role of the Israeli education system as a gatekeeper in entering more prestigious Mathematics.     

NGO Hybridisation as an Outcome of HIV Services Delivery in Global Fund-Supported Programmes in Ukraine

Ukraine has one of the world’s fastest growing HIV rates and was one of the largest recipients of funding from the Global Fund to Fight AIDS, Tuberculosis and Malaria (GF). Doctoral research recently completed by the author investigates the conduct and practice of international and national nongovernmental organisations (NGOs) as Principal Recipients of GF grants in Ukraine from 2004 to 2012. The study aimed to understand how NGO-based services were implemented in the context of a state-owned health care system. An ethnographic enquiry including 50 participant interviews was conducted in three oblasts in Ukraine, and in its capital, Kyiv, between 2011 and 2013. The paper is based on a doctoral research and presents some of the findings that emerged from the analysis. The author argues that the accent on NGO-run services promoted by GF has rendered the original grass roots, community-based NGOs, to be undermined or replaced by ‘quasi’, hybrid NGOs created by health officials and AIDS centres head doctors. The outcome of such hybridization is a weakened civil society that is dependent on external funding and is unable to genuinely represent their communities.     

Reinvigorating the social contract and strengthening social cohesion: Social protection responses to COVID-19

The COVID-19 pandemic has exposed the vulnerability of those who are inadequately covered by social protection in more and less developed countries alike, and has exacerbated the fragility of a social contract that was already under strain in many countries. A weak social contract in the context of an exceptional crisis poses a very real risk to social cohesion. Nevertheless, many States have reasserted themselves as the guarantor of rights by protecting public health and incomes. By sustaining these measures, economic recovery will be supported which will help minimize risks that may weaken social cohesion. However, this is a fast-moving, inherently unstable and protracted crisis. Social protection stands at a critical juncture. Decisive policy action will be required to strengthen social protection systems, including floors, as one of the cornerstones of a reinvigorated social contract.     

The functional patterns of adolescent mothers leaving foster care: Results from a cluster analysis

Few studies have explored the outcomes of adolescent mothers leaving foster care, especially using person‐oriented methods. The current study employed a cluster analysis to identify unique patterns of functioning among adolescent mothers aged 19 (n = 777). Data from the National Youth in Transition Database and the Adoption and Foster Care Analysis and Reporting System were utilized. Findings revealed five subpopulations characterized by distinct constellations of outcomes at age 19. The largest group (43%) exhibited competent functioning across all the domains studied—its members were connected to school and/or employment and did not experience homelessness, substance abuse referrals, or incarceration during the past 2 years (i.e., “resilient”). A relatively small group (12%) exhibited challenges across all the above‐referenced domains, whereas the remaining groups presented challenges in some domains, but not in others. Follow‐up analyses revealed that adolescent mothers classified as resilient at age 19 had the lowest rates of congregate care placements and the highest rates of nonrelative foster care placements at age 17. Moreover, they had lower placement instability and higher rates of extended foster care as compared with members of the other clusters. Implications for practice, policy, and research are discussed.     

On nonlinear multi-covering problems

In this paper we define the exact k-coverage problem, and study it for the special cases of intervals and circular-arcs. Given a set system consisting of a ground set of n points with integer demands \(\{d_0,\dots ,d_{n-1}\}\) and integer rewards, subsets of points, and an integer k, select up to k subsets such that the sum of rewards of the covered points is maximized, where point i is covered if exactly \(d_i\) subsets containing it are selected. Here we study this problem and some related optimization problems. We prove that the exact k-coverage problem with unbounded demands is NP-hard even for intervals on the real line and unit rewards. Our NP-hardness proof uses instances where some of the natural parameters of the problem are unbounded (each of these parameters is linear in the number of points). We show that this property is essential, as if we restrict (at least) one of these parameters to be a constant, then the problem is polynomial time solvable. Our polynomial time algorithms are given for various generalizations of the problem (in the setting where one of the parameters is a constant).     

Child welfare privatization: quantitative indicators and policy issues

The purpose of this study was to demonstrate the development of safety, permanency, and child well-being indicators by using administrative data sets as well as by using these indicators as tools for evaluating Florida's Community-Based Care (CBC) initiative. Longitudinal data from 37 counties including 4 counties that implemented community-based care were examined in this study. The results of the study indicated that the overall performance of CBC counties is at least as good as the performance of their comparison run by the state counties. The findings that emerged from this study may provide important lessons for developing a performance measurement system in the child welfare field.     

Distribution-free test for symmetry based on Bonferroni's measure

We propose a test based on Bonferroni's measure of skewness. The test detects the asymmetry of a distribution function about an unknown median. We study the asymptotic distribution of the given test statistic and provide a consistent estimate of its variance. The asymptotic relative efficiency of the proposed test is computed along with Monte Carlo estimates of its power. This allows us to perform a comparison of the test based on Bonferroni's measure with other tests for symmetry.     

Zero variance Markov chain Monte Carlo for Bayesian estimators

Interest is in evaluating, by Markov chain Monte Carlo (MCMC) simulation, the expected value of a function with respect to a, possibly unnormalized, probability distribution. A general purpose variance reduction technique for the MCMC estimator, based on the zero-variance principle introduced in the physics literature, is proposed. Conditions for asymptotic unbiasedness of the zero-variance estimator are derived. A central limit theorem is also proved under regularity conditions. The potential of the idea is illustrated with real applications to probit, logit and GARCH Bayesian models. For all these models, a central limit theorem and unbiasedness for the zero-variance estimator are proved (see the supplementary material available on-line).