Identification and Inference for Econometric Models: On Specifying Graphical Models for Causation and the Identification Problem

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The (mis)estimation of neighborhood effects: causal inference for a practicable social epidemiology. (2004, background): “Since many such assumptions cannot be tested in the data, our confidence in making useful inferences is undermined (Robins & Greenland, 1986; Robins et al., 2000; Woolridge, 2000; Freedman, 2002).”
The nonparametric identification of treatment effects in duration models (2003, unknown): “…E a unit exponential random variable, and focus our analysis on ΘY∗(s).6 If we have randomized assignment and observe the distribution of Y conditional on S, then 4Note that this explicitly allows for randomness at the individual level like Freedman (2002) and unlike, for example, Holland (1986).”