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Causal Inference in Statistical Models of the Process of Socioeconomic Achievement--A Case Study

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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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
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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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