如何直观理解统计控制
发布时间：2018-10-31 16:37
【摘要】：正多元回归分析的魅力在于:通过保持其他干扰因素不变,让社会科学的研究者在非实验情景之下,完成了自然科学家在实验室里才能做到的事情。——Wooldridge,2009正如Wooldridge所言,当我们试图利用观察数据(observational data)进行因果推论时,统计控制扮演着类似于实验控制的角色。从本质上来看,这两类控制方法的核心思想与Mill(1848)提出的"求异法"(methodof difference)一致。Mill告诉我们,在
[Abstract]:The beauty of positive multivariate regression is that by keeping other distractions constant, social science researchers do what natural scientists can do in a laboratory, in a non-experimental setting.-Wooldridge,2009, as Wooldridge puts it. Statistical control plays a similar role to experimental control when we try to use observational data (observational data) for causal inference. In essence, the core ideas of these two types of control methods are consistent with the "difference seeking method" (methodof difference) proposed by Mill (1848). Mill tells us that
【作者单位】： 台湾政治大学;
【分类号】：C81
，
本文编号：2302897
[Abstract]:The beauty of positive multivariate regression is that by keeping other distractions constant, social science researchers do what natural scientists can do in a laboratory, in a non-experimental setting.-Wooldridge,2009, as Wooldridge puts it. Statistical control plays a similar role to experimental control when we try to use observational data (observational data) for causal inference. In essence, the core ideas of these two types of control methods are consistent with the "difference seeking method" (methodof difference) proposed by Mill (1848). Mill tells us that
【作者单位】： 台湾政治大学;
【分类号】：C81
，
本文编号：2302897
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