Teaching anti-oppressive social work

This article highlights critical elements for effective and culturally sensitive teaching when transferring educational programs from a Western country to another context. The Social Work Education Project (SWEP), a master's level professional education program, was developed to train social workers in the conflict-affected area of Mindanao in the Philippines. Designed to enhance the leadership capacity of local social workers and contribute to the peace process, SWEP represents collaboration between the National Catholic School of Social Service in Washington, DC; Community and Family Services International, a Philippines-based NGO; and other Philippine community and educational partners. Qualitative program evaluation findings reveal that students assessed their learning as culturally relevant and personally meaningful while also enhancing their capacities for effective social work practice. Grounded in these findings and the experiences of involved faculty, the article concludes with five key lessons for international education.     

Outlier Robust Small‐Area Estimation Under Spatial Correlation

Modern systems of official statistics require the estimation and publication of business statistics for disaggregated domains, for example, industry domains and geographical regions. Outlier robust methods have proven to be useful for small‐area estimation. Recently proposed outlier robust model‐based small‐area methods assume, however, uncorrelated random effects. Spatial dependencies, resulting from similar industry domains or geographic regions, often occur. In this paper, we propose an outlier robust small‐area methodology that allows for the presence of spatial correlation in the data. In particular, we present a robust predictive methodology that incorporates the potential spatial impact from other areas (domains) on the small area (domain) of interest. We further propose two parametric bootstrap methods for estimating the mean‐squared error. Simulations indicate that the proposed methodology may lead to efficiency gains. The paper concludes with an illustrative application by using business data for estimating average labour costs in Italian provinces.     

Comparing Immigration Policies: An Overview from the IMPALA Database

This paper introduces a method and preliminary findings from a database that systematically measures the character and stringency of immigration policies. Based on the selection of that data for nine countries between 1999 and 2008, we challenge the idea that any one country is systematically the most or least restrictive toward admissions. The data also reveal trends toward more complex and, often, more restrictive regulation since the 1990s, as well as differential treatment of groups, such as lower requirements for highly skilled than low‐skilled labor migrants. These patterns illustrate the IMPALA data and methods but are also of intrinsic importance to understanding immigration regulation.     

A general class of poverty measures

Measurement of poverty in the spirit of Sen essentially consists of two steps, namely (1) the identification of the poor and (2) the aggregation of the income distribution of the poor into an indicator called poverty measure. We contribute to the second step from a mathematical and statistical point of view by defining a class of poverty measures and investigating its properties including sensitivity with respect to changes in the income distribution. Various poverty orderings are defined and their relation to stochastic dominance is investigated. Finally estimation of the class of poverty measures from individual and grouped data is considered.     

Merging nonprofit organizations: Analysis of a case study

This article presents a case study of merging among nonprofit organizations that provide social and community services. The study sheds light on the dynamics and problems of merging nonprofit organizations, whose espoused ideology focuses on promoting the well-being of their clients. The author describes and analyzes a merger in metropolitan Jerusalem, Israel, and highlights the potential problems that may ultimately undermine its success. This merger is the outcome of an ongoing power and political struggle. The analysis focuses on the organizational ideologies and culture as well as the strategies and structure of the merging organizations. In addition, the author deals with the underlying motives for merging, the driving and restraining forces, and the implications of merging nonprofit community services organizations with other social and human services organizations.     

Nonprofit and for-profit home care in Israel: clients' assessments

Clients' assessments of differences between nonprofit and for-profit organizations delivering home care services to Israel's frail elderly were studied. No significant differences were found between nonprofit and for-profit providers with respect to organizational efficiency; speed of placement and replacement of home care workers; responsiveness to clients' complaints; and supervision of care plans, schedules, and service delivery. Systematic differences were found, however, in clients' perceptions of workers employed by nonprofit versus for-profit service providers. The differences related to the home care workers' adaptation to clients' needs and wants; how well workers delivered services; and how satisfied clients were with the services received. Indications are that the relatively high efficiency of nonprofit organizations can largely be attributed to the performance of their home care workers.     

Capital structure decisions in family firms: empirical evidence from a bank-based economy

This paper analyzes the question if and how founding families influence the capital structure decision of their firms. By using a unique, partially hand-collected panel dataset of 660 listed German companies (5,135 firm years) over the period 1995–2006, we come up with the following results: German family firms have significantly lower leverage ratios than non-family firms. With respect to the question how families influence the capital structure of their firms, we can show that the family impact is mostly driven via management involvement. In this context, we also detect that the presence of a founder CEO has a strong negative effect on the leverage ratio. Our results prove to be stable against a battery of robustness tests, including the influence of other types of blockholders and the firms’ life cycle. Moreover, we use a propensity-score based matching estimator to alleviate concerns of reverse causality. Overall, our study suggests a strong, negative and causal relationship between family firm characteristics (especially family management) and the level of leverage.