美国的失业和自杀:解决横断面依赖的重要性

Mitch Kunce
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引用次数: 0

摘要

最近对基于社会学和经济学的自杀生态学研究的综述发现,周期性失业是一个关键的自杀风险因素,尽管提出的证据充其量是混合的。生态关联的模糊性似乎源于错误的统计方法。面板处理通过利用截面变化提供了优于传统时间序列方法的优点。但是,如果添加的截面单元是协整的(相关的),并且假定独立性,则可能导致不正确的统计推断和不一致的系数估计。在此,我们充分解决了横断面依赖于美国失业率和自杀率之间生态关系的重要性,使用了48个相邻州和哥伦比亚特区的81年面板。当在检查的每个步骤中适当考虑到横截面依赖性时,我们发现从美国的失业率到自杀率,无论是短期还是长期,都没有显著的统计关联。这个顺序分析的结果突出了文献中发现的模糊性的潜在来源。JEL分类号:B55、C31、C49。关键词:自杀率,协整,横截面依赖。
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Unemployment and Suicide in the United States: The Import of Addressing Cross-Sectional Dependence
Abstract Recent reviews of the sociological and economic-based ecological studies of suicide find cyclical unemployment to be a key suicide risk factor, though the evidence presented is mixed at best. The ambiguity of the ecological associations appear to stem from faulty statistical methodologies. Panel treatments offer advantages over conventional time-series methods by exploiting cross-section variation. However, if the added cross-section units are cointegrating (dependent) and independence is presumed, incorrect statistical inference and inconsistent coefficient estimation can result. Herein, we fully address the import of cross-sectional dependence on the ecological relationship between U.S. unemployment rates and suicide rates using an 81-year panel of the 48 contiguous states and the District of Columbia. When proper allowances are made for cross-section dependence at each step of the examination, we find no significant statistical association, short-run or long-run, running from unemployment to suicide rates in the U.S. Results of this sequential analysis highlight potential sources of the ambiguity found in the literature. JEL classification number: B55, C31, C49. Keywords: Suicide rates, Cointegration, Cross-section dependence.
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