Causal Inference in the Social Sciences

By Michael E. Sobel. 2000

175 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5fb6f9ef0c116397919c9821753d1aef1a2394de

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Citations in the corpus

Statistical Models for Causation (2006, background): “Sobel (1998) reviews the literature on social stratification, concluding that “the usual modeling strategies are in need of serious change.” Also see Sobel (2000) .”
Causal inference with generalized structural mean models (2003, background): “With others (Sobel, 2000), we believe that estimated treatment effects may generally be of greater interest for subgroups with observed exposure levels (as in this paper) than for subgroups with unobserved levels (e.g. always compliers).”
6. A Diagnostic Routine for the Detection of Consequential Heterogeneity of Causal Effects (2008, background): “Other presentations written for sociologists and political scientists are also available (see King, Keohane, and Verba 1994; Sobel 1996, 2000).”
Identification and Inference for Econometric Models: On Specifying Graphical Models for Causation and the Identification Problem (2005, unknown): “There is an influential book by Lieberson (1985); the latest in a series of papers is Sobel (2000) .”
Who benefits most from college? Evidence for negative selection in heterogeneous economic returns to higher education (2010, methodology): “Parents’ income is measured as total net family income in 1979 dollars in the NLSY; the WLS uses parents’ income in 1957 dollars.”
Pathways between education and health: a causal modelling approach (2006, methodology): “SEMs can be used to specify ‘causal models’ through which causal hypotheses about the relationships between variables can be constructed and tested (Pearl, 1995; Greenland, 2000; Sobel, 2000; Greenland and Brumback, 2002).”