Social representations of diversity: multi/intercultural education in a South African urban school 1

The story of School X started in South Africa in 1875. At that time, the school was built for white children only. More than hundred years later, the 1994 elections demarcated the end of the apartheid era and the school enrolled black Xhosa‐speaking children for the first time. As a result, in 2004, 90% of the students were black Xhosa‐speaking. The theoretical perspectives of our study are based on notions of multicultural and intercultural education, and of diversity. Our study is embedded in a socio‐constructivist inquiry paradigm. Using questionnaires and interviews, we aimed to understand the social representations regarding diversity of a principal, a teacher, seven students and four parents in a K‐7 open school. We examined diversity of values, cultures, religions, languages, attitudes, beliefs, behaviors, etc. regarding a multi/intercultural perspective in education. We attempted to discern what the participants’ understandings of diversity were, how they identified diversity, and why they justified their practices and actions with respect to diversity.

The song can only be beautiful if we all play the same tune. (Esmé Goosen, Multimedia, 2004)

This is the title of a painting that is part of an exhibition in Nelson Mandela Metropolitan Museum of Art, Port Elizabeth, South Africa     

Predictors of retention in an alcohol, tobacco, and other drug prevention study

This article explored retention patterns, as well as factors that predicted these patterns, in the evaluation of a relationship-based substance abuse prevention intervention study that targeted inner-city African American youth. A total of 851 contacts were made to retain 82% (n = 104) of the baseline sample (N = 127) in the evaluation. Results from multinomial regression analyses indicated that participants who were retained in the evaluation were more likely to perceive alcohol, tobacco, and other drug use as less risky and were more likely to report higher levels of family supervision than were evaluation attrits. Those who were easy to retain reported lower family conflict and fewer family relocations during the past year than those who were difficult to retain. Implications of these findings for developing retention strategies, as well as future research, are discussed.     

Estimation of Current-Quarter Gross National Product by Pooling Preliminary Labor-Market Data

Two methods of using labor-market data as indicators of contemporaneous gross national product (GNP) are developed. The establishment survey data are used by inverting a partial-adjustment equation for hours. A second GNP forecast can be extracted from the household survey by using Okun's law. Using preliminary rather than final data adds about .2 to .4 percentage point to the expected value of the root mean squared errors and changes the weights that the pooling procedure assigns to the two forecasts. The use of preliminary rather than final data results in a procedure that assigns more importance to the Okun's-law forecast.     

Finding your way into employment against all odds? Successful job search of refugees in Austria

Labour market entry poses enormous challenges for recently arrived refugees, ranging from language barriers, devaluation of human capital, unfamiliarity with customs of the job search process to outright discrimination. How can refugees overcome these challenges and quickly enter gainful employment? In this paper, we draw on interviews with 26 male and female refugees from Syria, Afghanistan, Iraq and Iran, conducted in 2017 and 2018, who came to Austria in 2015 and 2014 and who have successfully entered employment. We depict refugees’ own perspectives on and strategies for fast job entry and integration. Personal agency and a proactive approach of seeking and seizing opportunities are key for overcoming initial barriers and entering upon positive integration pathways. At the same time, refugees’ personal agency is essential for establishing social ties to the host society, which also play a crucial role in early labour market integration. Finally, institutions of the Austrian labour market (the ‘apprenticeship’-system) interact with refugees’ agency in most intricate ways, both setting up nearly insurmountable barriers but also providing specific opportunities for refugees.     

PRODUCT DIVERSITY,DEMAND STRUCTURES,AND OPTIMAL TAXATION

This article studies optimal taxation in a general equilibrium macroeconomic model with endogenous entry. We compare the constant elasticity of substitution (CES) model to three alternative demand structures: oligopolistic competition in prices, oligopolistic competition in quantities, and translog preferences. Our economy is characterized by two distortions: a labor distortion due to the misalignment of markups on goods and leisure, and an entry distortion due to the misalignment of the consumer surplus effect and the profit destruction effect of entry. The two distortions interact in determining the wedge between the market‐driven and optimal level of product diversity. We show how optimal labor and entry taxes depend on the prevailing demand structure, the nature and size of entry costs, and the degree of substitutability between goods. (JEL E22, E61, E62)     

Some applications of nonlinear and non-Gaussian state–space modelling by means of hidden Markov models

Nonlinear and non-Gaussian state–space models (SSMs) are fitted to different types of time series. The applications include homogeneous and seasonal time series, in particular earthquake counts, polio counts, rainfall occurrence data, glacial varve data and daily returns on a share. The considered SSMs comprise Poisson, Bernoulli, gamma and Student-t distributions at the observation level. Parameter estimations for the SSMs are carried out using a likelihood approximation that is obtained after discretization of the state space. The approximation can be made arbitrarily accurate, and the approximated likelihood is precisely that of a finite-state hidden Markov model (HMM). The proposed method enables us to apply standard HMM techniques. It is easy to implement and can be extended to all kinds of SSMs in a straightforward manner.     

Robust variable selection with application to quality of life research

A large database containing socioeconomic data from 60 communities in Austria and Germany has been built, stemming from 18,000 citizens’ responses to a survey, together with data from official statistical institutes about these communities. This paper describes a procedure for extracting a small set of explanatory variables to explain response variables such as the cognition of quality of life. For better interpretability, the set of explanatory variables needs to be very small and the dependencies among the selected variables need to be low. Due to possible inhomogeneities within the data set, it is further required that the solution is robust to outliers and deviating points. In order to achieve these goals, a robust model selection method, combined with a strategy to reduce the number of selected predictor variables to a necessary minimum, is developed. In addition, this context-sensitive method is applied to obtain responsible factors describing quality of life in communities.     

Robust nonparametric tests for the two-sample location problem

We construct and investigate robust nonparametric tests for the two-sample location problem. A test based on a suitable scaling of the median of the set of differences between the two samples, which is the Hodges-Lehmann shift estimator corresponding to the Wilcoxon two-sample rank test, leads to higher robustness against outliers than the Wilcoxon test itself, while preserving its efficiency under a broad range of distributions. The good performance of the constructed test is investigated under different distributions and outlier configurations and compared to alternatives like the two-sample t-, the Wilcoxon and the median test, as well as to tests based on the difference of the sample medians or the one-sample Hodges-Lehmann estimators.