Heuristic-Systematic Information Processing and Risk Judgment

The heuristic-systematic information processing model (HSM) holds that individuals will use one or both of these modes of information processing when attempting to evaluate information in order to arrive at a judgment. Systematic processing is defined by effortful scrutiny and comparison of information, whereas heuristic processing is defined by the use of cues to arrive more easily at a judgment. Antecedents to the two processing modes include information sufficiency, motivation, and self-efficacy. Structural equation modeling is used to examine competing configuration of this model and to evaluate the model as appropriate for predicting risk judgment. The model also is evaluated across three groups that vary with respect to their level of concern. These analyses are executed within a case study involving an epidemiological investigation of a suspected cancer cluster. The analysis confirms the HSM's theoretically proposed structure and shows it to be a useful vehicle for evaluating risk judgment. In the overall analysis, antecedent variables generally function as specified by theory. Systematic processing is predicted by greater motivation. Heuristic processing is predicted by information sufficiency. Self-efficacy is a significant predictor of both processing modes. And heuristic processing is shown to be associated with judgment of less risk. However, when the analysis is contrasted across three groups (those concerned about cancer, not concerned and uncertain) it is shown that the model is significantly more robust for the uncertain group. This finding may have implications for the use of the HSM in risk research specifically, and in field research generally.     

Unions and wage inequality

Summary and Conclusions The impact of unions on the structure of wages has recently attracted renewed interest as analysts have struggled to explain the rise in earnings inequality in several industrialized countries. Canada, the United Kingdom, and the United States provide a potentially valuable set of countries for examining this question. All three countries now collect comparable data on wages and union status in their regular labor force surveys. Several features of the collective bargaining institutions of these countries make them suitable for studying the relationship between unions and wage inequality. Bargaining is highly decentralized; there are no general mechanisms for extending collective bargaining provisions beyond the “organized” sector; and the fraction of the work force covered by collective bargaining is relatively modest. Thus it is possible to compare the structure of wages for workers covered by union contracts to those who are not covered, and potentially infer the effect of unions on overall wage inequality.     

Courting LULUs: Characteristics of Suitor and Objector Communities*

Abstract This research examines nonmetropolitan places most likely to support or oppose proposals for locally undesirable land uses (LULUs) involving waste management facilities. Two hypotheses are tested: (1) that relatively remote communities of lower socioeconomic status will be less likely to oppose such proposals; and (2) that support for such proposals is widespread among nonmetropolitan communities because of growth machine activities. Using key informants and secondary data for 166 non‐metropolitan Pennsylvania places, we find that local growth promotion, especially efforts to promote business and industry, is related positively to community experience with plant closings and to proposals for these LULUs. Where these proposals are made, community opposition tends to be present as well, particularly in larger communities and, surprisingly, in those of lower socioeconomic status. The significance of these findings is discussed in terms of the growth machine and the opposition they can provoke to protect the use value of land in a single nonmetropolitan region.     

The Road to Gang Membership: Characteristics of Male Gang and Nongang Members from Ages 10 to 14

This study examined the stability of belonging to a gang in early adolescence, the behaviour profiles, family characteristics, and friendships of nongang and gang members. The subjects in the present study were originally part of a larger sample of boys. One hundred and forty‐two boys who had a complete data set at ages 11, 12, 13, and 14 were selected for the present study. Loglinear analyses indicated that gang membership was stable from ages 13 to 14, but not at earlier ages. Boys were divided into three groups: stable gang members (children who belonged to a gang at ages 13 and 14); unstable gang members (children who belonged to a gang at either age 13 or 14) and nongang members. Repeated analyses of variance indicated that stable gang members had significantly higher scores than nongang members on teacher ratings of fighting behaviour, hyperactivity, inattention and oppositional behaviour, and self‐reported delinquent activities (drug and alcohol use, stealing and vandalism). Peers rated gang members as more aggressive than nongang members. The results are discussed from a developmental perspective.     

Comment

A vector autoregression is a reduced-form representation and therefore would be expected to change when any structural equation in the system changes, regardless of whether economic decisions are forward-looking. Even so, a dynamic simulation of a model with unit roots will exhibit large cumulative errors, making it difficult to detect whether a structural change has indeed occurred.