The hard and soft sides of union political money

We reach several conclusions. First, to the extent that soft money per se and issue advertising are the primary targets of campaign-finance reformists, unions contribute little, overall, to the perceived or real problem. Union soft money pales in comparison not only to total interest-group expenditures of this type but also to the hard money that labor dispenses. Moreover, with their relatively limited treasuries, unions are in no position to compete with the corporate sector. It has been estimated that the total assets of labor unions, at the combined local, regional, and national/international levels, barely exceeded $10 billion in 1995 (Masters and Atkin, 1997). Revenues were less than $13 billion.     

Endogenous socio-economic development in the European union — issues of evaluation

The public sector, in its policy statements and in the design of programmes of intervention, appears to be subscribing to a rhetoric of “grassroots participation”. At the same time, however, pressures are increasing for bureaucracies to adopt a managerialist modus operandi. This article considers the tensions that arise when participative service provision and programmes are subjected to evaluation scrutiny by managerialist bodies. The discussion takes place in the context of an EU-sponsored endogenous socio-economic development initiative. This prepares the ground for an exploration of participative evaluation.     

The Role of Evaluator-Victim Relationships in Children's Evaluations of Peer Provocation

Second-, third-, fifth-, and sixth- grade children evaluated two hypothetical target peers in three provocation scenarios which differed as to the intent of a provocative act (Ambiguous, Accidental, Hostile). In addition to age and gender, evaluator-victim relationship was manipulated with children portrayed as being in a best friend, an acquaintance, or an enemy relationship with the victim, while the agent of the provocation was an unfamiliar peer. Evaluations were assessed in terms of attributions of aggressor's intentions, behavior response of the victim, evaluator's liking for victim, and evaluator's affect. Results indicated that older children evaluated aggressor's intentions and victim's behavior response more negatively than did younger children. Further, attributions of aggressor's intent significantly predicted the victim's subsequent behavioral response. Evaluator's affect was reported to be more negative when evaluating hostile provocation compared to accidental or ambiguous provocation and evaluators in acquaintance and enemy relationships with the victim reported liking the victim more after the provocation than before it occurred. Results are discussed in terms of the social relational and social situational influences on children's evaluations of peer interactions and the need to integrate these contextual factors in children's person perception research.     

ROBUST ESTIMATION OF SMALL‐AREA MEANS AND QUANTILES

Small‐area estimation techniques have typically relied on plug‐in estimation based on models containing random area effects. More recently, regression M‐quantiles have been suggested for this purpose, thus avoiding conventional Gaussian assumptions, as well as problems associated with the specification of random effects. However, the plug‐in M‐quantile estimator for the small‐area mean can be shown to be the expected value of this mean with respect to a generally biased estimator of the small‐area cumulative distribution function of the characteristic of interest. To correct this problem, we propose a general framework for robust small‐area estimation, based on representing a small‐area estimator as a functional of a predictor of this small‐area cumulative distribution function. Key advantages of this framework are that it naturally leads to integrated estimation of small‐area means and quantiles and is not restricted to M‐quantile models. We also discuss mean squared error estimation for the resulting estimators, and demonstrate the advantages of our approach through model‐based and design‐based simulations, with the latter using economic data collected in an Australian farm survey.