The impact of the European Youth Guarantee on active labour market policies: A convergence analysis

The European Union’s (EU) Youth Guarantee aims to improve the labour market situation of young people. Rather than prescribing a uniform policy model, it acknowledges that supportive measures need to align with national, regional and local circumstances. It thus seeks to promote mutual policy learning through the open method of coordination. As an innovative measure, the EU has deployed funding programmes to support the domestic measures related to the Youth Guarantee. We therefore examined in this study whether this mix of recommendations and financial incentives has entailed a convergence of member state policies. Our analysis of policy outputs for the period 2007?2014 yields a mixed empirical picture. There is catching‐up convergence regarding policies’ sectoral coverage but increasing divergence concerning the number of adopted policy instruments. The first two years of financial incentives did not produce any effect on enhancing policy experimentation among less active member states. We offer an optimistic and a pessimistic interpretation of these findings.     

A comparison of recent nonparametric methods for testing effects in two-by-two factorial designs

The two-way two-levels crossed factorial design is a commonly used design by practitioners at the exploratory phase of industrial experiments. The F-test in the usual linear model for analysis of variance (ANOVA) is a key instrument to assess the impact of each factor and of their interactions on the response variable. However, if assumptions such as normal distribution and homoscedasticity of errors are violated, the conventional wisdom is to resort to nonparametric tests. Nonparametric methods, rank-based as well as permutation, have been a subject of recent investigations to make them effective in testing the hypotheses of interest and to improve their performance in small sample situations. In this study, we assess the performances of some nonparametric methods and, more importantly, we compare their powers. Specifically, we examine three permutation methods (Constrained Synchronized Permutations, Unconstrained Synchronized Permutations and Wald-Type Permutation Test), a rank-based method (Aligned Rank Transform) and a parametric method (ANOVA-Type Test). In the simulations, we generate datasets with different configurations of distribution of errors, variance, factor's effect and number of replicates. The objective is to elicit practical advice and guides to practitioners regarding the sensitivity of the tests in the various configurations, the conditions under which some tests cannot be used, the tradeoff between power and type I error, and the bias of the power on one main factor analysis due to the presence of effect of the other factor. A dataset from an industrial engineering experiment for thermoformed packaging production is used to illustrate the application of the various methods of analysis, taking into account the power of the test suggested by the objective of the experiment.     

Institutionalizing Counter‐Memories of the U.S. Civil Rights Movement: The National Civil Rights Museum and an Application of the Interest‐Convergence Principle

During the post–Reconstruction era in the United States, white southerners marked the cultural landscape with monuments and memorials honoring the Confederate cause and its heroes. These racialized symbols enjoyed an undisputed claim to public squares and parks throughout the South. It was not until the late twentieth century that commemorations to the black freedom struggle were publicly supported. This analysis examines the institutionalization of counter‐memories of the civil rights movement in Memphis, Tennessee at the Lorraine Motel, the site of the assassination of Reverend Dr. Martin Luther King, Jr. The author draws on collective memory, cultural trauma, and social movements research as well as critical race theory to explain the creation of the National Civil Rights Museum. Using primary and secondary data sources the author examines how social memory agents, a changing political culture, and the passage of time mediated the cultural trauma of King's assassination and influenced the institutionalization of oppositional collective memories. Relying on Derrick Bell's interest‐convergence principle, the author concludes that the creation of this major memorial museum was a result of the convergence of white and black interests, specifically the economic and political interests of white elites and the cultural and political interests of black symbolic entrepreneurs.     

On Some Optimal Bayesian Nonparametric Rules for Estimating Distribution Functions

In this paper, we present a novel approach to estimating distribution functions, which combines ideas from Bayesian nonparametric inference, decision theory and robustness. Given a sample from a Dirichlet process on the space (𝒳, A), with parameter η in a class of measures, the sampling distribution function is estimated according to some optimality criteria (mainly minimax and regret), when a quadratic loss function is assumed. Estimates are then compared in two examples: one with simulated data and one with gas escapes data in a city network.     

Modeling External Risks in Project Management

To ascertain the viability of a project, undertake resource allocation, take part in bidding processes, and other related decisions, modern project management requires forecasting techniques for cost, duration, and performance of a project, not only under normal circumstances, but also under external events that might abruptly change the status quo. We provide a Bayesian framework that provides a global forecast of a project's performance. We aim at predicting the probabilities and impacts of a set of potential scenarios caused by combinations of disruptive events, and using this information to deal with project management issues. To introduce the methodology, we focus on a project's cost, but the ideas equally apply to project duration or performance forecasting. We illustrate our approach with an example based on a real case study involving estimation of the uncertainty in project cost while bidding for a contract.     

Mathematical programming: Turing completeness and applications to software analysis

Mathematical programming is Turing complete, and can be used as a general-purpose declarative language. We present a new constructive proof of this fact, and showcase its usefulness by discussing an application to finding the hardest input of any given program running on a Minsky Register Machine. We also discuss an application of mathematical programming to software verification obtained by relaxing one of the properties of Turing complete languages.     

Just for fun? Alcohol and drugs in youth lifestyles: a survey

The article presents an analysis of the relationship between young people and alcohol and drug use, examining both their attitudes and behaviors. The analysis is based on statistics collected through a structured-questionnaire survey of 1071 students from the secondary schools of Rome and the Province. The first part of the article examines patterns and levels of alcohol and drug use and typical places of use. The central part is dedicated to the perceptions and opinions on alcohol and drugs, with particular regard to the dimensions of risk and sociality, and to the different roles of school and family in raising risk awareness. Sociality appears as a crucial element in young people's tendency to associate alcohol and drugs with an effect of relaxation and disinhibition that makes social relations easier. The article finally examines the relationship between young people and social norms, identifying transgressive models and habits. On the whole, the study highlights a connection between alcohol and drug use and desire of sociality, which is experienced more as a situational and ever-changing practice than as a search for close friendships.