Causal Inference in Statistical Models of the Process of Socioeconomic Achievement--A Case Study |
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文献名称 | Causal Inference in Statistical Models of the Process of Socioeconomic Achievement--A Case Study | ||||||
文献作者 | MICHAEL E. SOBEL | ||||||
作者所在单位 | University of Arizona | ||||||
文献分类 | 已发表文献 | ||||||
学科一级分类 | 统计 | ||||||
学科二级分类 | 统计学 | ||||||
文献摘要 |
Typicaily, using data from a nonexperimental study, quantitative sociologists model one or more outcomes as a function of independent variables, interpreting the resulting parameter estimates as effects. This article compares the usual approach to causal inference in sociology with an alternative approach that builds explicitly on a counterfactual account of causation. The comparison is relevant because sociologists typically interpret (incorrectly) parameter estimates obtained using the first approach as supporting causal statements that are counterfactual. To make matters concrete, the author reconsiders an attainment model of Featherman and Hauser, who are interested in comparing the effects of fnmily background on achievement, by sex and time. This analysis suggests the coefficients in the regressions of respondent's education and occupational status on background should not be interpreted as effects. However, because a child's sex is determined without regard for his or her subsequent achievements, sex may be viewed as randomly assigned, justifying treating sex as the cause and the background variables us covariutes. Unfortunately, the way in which the data were collected preclude such a treatment. |
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参考文献 |
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关键字 | Causal Inference ;Statistical Models ; Socioeconomic Achievement;A Case Study | ||||||
发表所在刊物(或来源) | SOCIOLOGICAL METHODS & RESEARCH, Vol. 27 No. 2, November 1998 318-348 | ||||||
发表时间 | November 1998 | ||||||
适用研究领域 | |||||||
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上传时间 | 2011-1-22 23:22 | ||||||
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phdcs_2008 |
phdcs_2008发表于:2012-1-16 11:54 It is a very important paper |
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