A model of the net effect of job loss on violence
A model of the net effect of job loss on violence
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DOI：
10.1037/0022-3514.72.6.1440
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发表时间：
1997-06-01
影响因子：
7.6
通讯作者：
McConnell, W
中科院分区：
文献类型：
--
作者：
Catalano, R;Novaco, R;McConnell, W
作者扩展了挫折-攻击理论，假设裁员频率的增加对暴力有抵消作用，这取决于失业人数与害怕失业人数的比例。作者提供了一个模型来估计这些过程对社区暴力事件的净影响。该模型指定了一个抛物线函数，其中裁员的小幅增加与暴力事件的增加有关，但大幅增加与暴力事件的减少有关。利用旧金山的每周数据，用时间序列方法对模型进行检验。自变量是首次申请失业救济；因变量是对他人危险行为的民事承诺。该模型适合男性和女性的数据。讨论了该模型对经济政策和提供预防性服务的影响。
The authors extend frustration-aggression theory to hypothesize that increasing frequency of layoffs has countervailing influences on violence depending on how many people lose jobs compared to how many fear job loss. The authors offer a model that estimates the net effect of these processes on the incidence of violence in a community. The model specifies a parabolic function in which small increases in layoffs are associated with increased incidence of violence, but large increases are associated with reduced incidence. The model was tested with time-series methods by using weekly data from San Francisco. The independent variable was initial claims for unemployment compensation; the dependent variable was civil commitments for behavior that is dangerous to others. The model fit the data for both men and women. Implications of the model for economic policy and the provision of preventive services are discussed.