福利和失业对美国犯罪的影响:协整分析

Mahmoud Mourad
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引用次数: 0

摘要

本文以美国每年10万人的犯罪总量为因变量,并以1980-1919年期间10万人的福利支出和失业率为两个解释变量进行了深入研究。这篇论文是针对一个具体的点:影响失业和福利变量对总犯罪(暴力和财产)在美国。首先关注平稳性分析,然后使用Pesaran, Shin和Smith (PSS)提出的ARDL / Bounds检验方法进行协整分析。确定了两个长期平衡关系,并对结果进行了解释。验证了这两种关系,并建立了误差校正模型(ECM)。结果表明:在不受限制的截距和无趋势的情况下,在不受限制的截距和有趋势的情况下,向平衡方向调整的速度是最快的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of Welfare and Unemployment on the Crimes in the United States: Co-integration Analysis
The paper carries out a depth study of the total annual crimes by 100000 people in the United States, considered as the dependent variable, and two explanatory variables that are: welfare expenditure by 100000 people and unemployment rate during the period 1980-1919. The paper is oriented to a specific point: impact the unemployment and welfare variables on the total crimes (violent and property) in the United States of America. Much attention is given to the stationarity analysis and then to the cointegration analysis using the ARDL / Bounds testing Methodology proposed by Pesaran, Shin and Smith (PSS). Two long-term equilibrium relationships were identified and an interpretation of the results was performed. Both relationships have been validated and the Error Correction Model (ECM) is built. The results show that the adjustment speeds towards equilibrium are  in the case of Unrestricted intercept and no trend, and  in the case of Unrestricted intercept and trend.
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