Does Social Capital Make You Generous?*

Objectives. This article tests the hypothesis that social capital—measured in terms of civic group involvement, social and racial trust, and political engagement—leads to charitable behavior by individuals. Methods. I introduce measures of the “social capital elasticity of giving,” which facilitate comparisons between the effects on charity of different social capital types. Using data from the 2000 Social Capital Community Benchmark Survey, I estimate these elasticities with tobit regression models. Results. I find strong links between changes in social capital stocks and changes in giving levels. Furthermore, I find that different social capital types have differing levels of impact on giving. Conclusions. Charitable giving appears to be a beneficial consequence of some types of social capital.     

Affirmative Reaction: The Influence of Type of Justification on Nonbeneficiary Attitudes Toward Affirmative Action Plans in Higher Education

It is popularly believed that justifying an affirmative action plan (AAP) through emphasizing the advantages that diverse students can bring to a college campus will increase nonbeneficiary support for the program. However, there has been little empirical support for this proposition, perhaps because previous research has not directly articulated to participants the value of a diverse student body. As such, the current study sought to determine how the explicit framing of an AAP influences subsequent reactions. Both quantitative and qualitative data from 216 White undergraduate participants revealed that the utilitarianism justification that highlighted the benefits of the AAP to both minority and majority students, was the most effective means of increasing support for the plan.     

Advocacy for disabled children and young people: benefits and dilemmas

Recent policy has emphasized the need for advocacy services for children and young people, developments that have gone hand‐in‐hand with greater levels of participation of young people in decision‐making. Advocacy for disabled young people is especially important, as they are a particular vulnerable group and have, traditionally, been even more excluded from decisions about matters affecting their lives. This paper reports the findings, as they relate to disabled young people, from a study that investigated the role of advocacy for looked‐after children and children in need. The paper highlights some of the benefits of advocacy for disabled children, the dilemmas facing advocates between advocating and acting in someone's ‘best interests’, identifying the client and the boundaries between advocacy and social work. It argues that time given to establish a close relationship with a disabled child or young person is crucial if advocacy is to be effective and participation in decisions affecting their lives a reality.     

No Country Left Behind? Performance Standards and Accountability in US Foreign Assistance

The accountability movement in public policy hails a new programme for US foreign assistance – the Millennium Challenge Account established in 2004 with the aim of ‘picking winners’ for grants among developing countries based on their demonstrated quality of governance. This article uses the MCA's own rating system to dispute its claim to know in advance which countries are best positioned to meet major development goals. High governance scores alone bear little or no relationship to growth in national income or decline in poverty. Attempting to measure public‐policy performance limits the range of choice available to policy‐makers, and may inadvertently limit true performance.     

Evaluating the Simplified Conjoint Expected Risk Model: Comparing the Use of Objective and Subjective Information

The simplified Conjoint Expected Risk (CER) model by Holtgrave and Weber posits that perceived risk is a linear combination of the subjective judgments of the probabilities of harm, benefit, and status quo, and the expected harm and benefit of an activity. It modifies Luce and Weber's original CER model—that uses objective information to evaluate financial gambles—to accommodate activities such as health/technology activities where values of the model variables are subjective. If the simplified model is a valid modification of the original model, its performance should not be sensitive to the use of subjective information. However, because people may evaluate information differently when objective information is provided to them than when they generate information on their own, the performance of the simplified CER model may not be robust to the source of model-variable information. We compared the use of objective and subjective information, and results indicate that the estimates of the simplified CER model parameters and the proportion of variance in risk judgments accounted for by the model are similar under these two conditions. Thus, the simplified CER model is viable with activities for which harm and benefit information is subjective.     

Exploitation in Contemporary Capitalism: An Empirical Analysis of the Case of Taiwan

Abstract

Using data for manufacturing firms in Taiwan, we developed a measure of exploitation and analyzed its prevalence in the labor force. Our results indicated that almost two-thirds of the firms in our sample exploit at least some of their workers. For these firms, the average profit rate is 34 percent, but three-fourths of this figure derives from the expropriated wages of their workers. Female and blue-collar workers are the largest groups that are underpaid relative to their productivity (that is, exploited). Managers, professionals, and workers with seniority are not exploited by our definition because our data showed that these groups are paid according to the market value of their productivity, at least on average. Our analysis demonstrates the feasibility of the empirical investigation of exploitation, which should be further considered in future research.     

Adaptive sampling without replacement of clusters

In a common form of adaptive cluster sampling, an initial sample of units is selected by random sampling without replacement and, whenever the observed value of the unit is sufficiently high, its neighboring units are added to the sample, with the process of adding neighbors repeated if any of the added units are also high valued. In this way, an initial selection of a high-valued unit results in the addition of the entire network of surrounding high-valued units and some low-valued “edge” units where sampling stops. Repeat selections can occur when more than one initially selected unit is in the same network or when an edge unit is shared by more than one added network. Adaptive sampling without replacement of networks avoids some of this repeat selection by sequentially selecting initial sample units only from the part of the population not already in any selected network. The design proposed in this paper carries this step further by selecting initial units only from the population, exclusive of any previously selected networks or edge units.     

Testing for Circular Reflective Symmetry about a Known Median Axis

Circular data arise in many contexts, a particularly rich source being animal orientation experiments. Often, in the analysis of such data, a fundamental question of scientific interest is whether the underlying distribution is reflectively symmetric about some specific axis. In this paper, the situation in which the axis of interest is known to be a median axis is considered and a simple, asymptotically distribution- free test for circular reflective symmetry against skew alternatives is developed. The results from a simulation study lead to a testing strategy incorporating the new test and the circular analogue of the modified runs test of Modarres & Gastwirth (1996). The application of the testing strategy is illustrated using circular data arising from two animal orientation experiments.