Direct and Indirect Effects

The direct effect of one event on another can be defined and measured by holding constant all intermediate variables between the two. Indirect effects present conceptual and practical difficulties (in nonlinear models), because they cannot be isolated by holding certain variables constant. This paper presents a new way of defining the effect transmitted through a restricted set of paths, without controlling variables on the remaining paths. This permits the assessment of a more natural type of direct and indirect effects, one that is applicable in both linear and nonlinear models and that has broader policy-related interpretations. The paper establishes conditions under which such assessments can be estimated consistently from experimental and nonexperimental data, and thus extends path-analytic techniques to nonlinear and nonparametric models.

• Publication year

  2001

• Venue

  Conference on Uncertainty in Artificial Intelligence

• Publication date

  2001-08-02

• Fields of study

  Mathematics, Computer Science, Economics

• Identifiers
  DOI 10.1145/3501714.3501736arXiv 1301.2300
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• ! I ! i ! I ! i ! I ! i ! I ! I 138 ! !

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