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Regression to the Mean, Murder Rates, and Shall-Issue Laws

机译:回归均值,谋杀率和应发定律

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The relationship between state murder rates and the liberalization of conditions under which a citizen can obtain a permit to carry a concealed weapon (shall-issue laws) is controversial and important for policy. Many analyses have been done during the last decade, but regression to the mean has been ignored with the exception of two papers which concluded that it did not matter. We consider state murder rates for 1976-2001 and compare relative murder rate slopes (relative to the U.S. murder rate) for the five years following state adoption of shall-issue laws to the five years preceding for the 25 states becoming shall-issue in 1981-1996. We find strong evidence for regression to the mean. Using both a random and a fixed effects model, we compare analyses ignoring the regression effect via a paired t-test to those controlling for it by conditioning on the pre shall-issue slopes. We find that controlling for regression to the mean changes the sign of the estimated intervention effect on murder rate slopes from negative to positive, has strong impact on statistical significance, and gives no support to the hypothesis that shall-issue laws have beneficial effects in reducing murder rates.
机译:国家谋杀率与公民获得许可以携带隐蔽武器的条件自由化之间的关系(必须颁布的法律)是有争议的,并且对政策很重要。在过去十年中进行了许多分析,但是除两篇论文得出结论认为无关紧要外,均值的回归已被忽略。我们考虑了1976-2001年的州谋杀率,并比较了州通过《应诉法》之后的五年与1981年成为州立25个州的五年之前的相对谋杀率的斜率(相对于美国的谋杀率)。 -1996。我们找到了回归均值的有力证据。我们同时使用随机效应模型和固定效应模型,将忽略通过配对t检验的回归效应的分析与通过对问题前斜率进行调节来控制回归分析的分析进行比较。我们发现,控制均值回归可以将对谋杀率斜率的估计干预效果的符号从负改变为正,对统计学意义有很大影响,并且不支持将要颁布的法律对降低谋杀率具有有益作用的假设谋杀率。

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