Causal Inference, Agency, and the Problem of Inherent Endogeneity
Bibliographic Data
| ID | 12463502 |
|---|---|
| Authors | Mark D Williams (0000-0002-2301-0047, University of Michigan, corresponding author), Martin J Williams (0000-0002-0299-7153, Departments of Organizational Studies and Political Science, University of Michigan, Ann Arbor, Michigan, USA; email: [email protected]) |
| Year | 2025 |
| Publication date | 2025-11-24 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Annual Review of Political Science (BOOK_SERIES) |
| Journal identifiers | ISSN: 1094-2939 • E-ISSN: 1545-1577 |
| Publisher | Annual Reviews (PUBLISHER • US) |
| DOI | 10.1146/annurev-polisci-032624-013736 |
| OpenAlex | W4416711716 |
| Language | EN |
Researchers often leverage exogenous variation in an independent variable in order to understand its effects, yet endogenous decision processes are central to many of the real-world phenomena we wish to understand. This review explores whether there are situations in which exogenous and endogenous variation in the same independent variable (e.g., a policy, treatment, or other action) may lead to different outcomes. I begin by laying out a conceptual framework for understanding these inherently endogenous causal processes, identifying three types of mechanisms through which they might arise and discussing their application to a range of empirical phenomena, such as institutional reform, community natural resource governance, and interstate conflict. I then suggest that learning about inherently endogenous causal processes requires researchers to place endogenous decision-making at the center of analysis rather than seeking to abstract away from it. I survey a range of methods (both positivist and nonpositivist) for doing so
| Highly cited | No |
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