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Identification Is Not Causality, and Vice Versa

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  • R Kahn
  • Toni M Whited

Abstract

We distinguish between identification and establishing causality. Identification means forming a unique mapping from features of data to quantities that are of interest to economists. Establishing causality by finding sources of exogenous variation is often considered synonymous with identification, but these two concepts are distinct. Exogenous variation is only sometimes necessary and never sufficient to identify economically interesting parameters. Instead, even for causal questions, identification must rest on an underlying economic model. We illustrate these points by analyzing identification in three recent papers and by examining the estimation of a simple dynamic model.Received June 6, 2017; editorial decision September 26, 2017 by Editor Gregor Matvos. Authors have furnished supplementary code, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Suggested Citation

  • R Kahn & Toni M Whited, 2018. "Identification Is Not Causality, and Vice Versa," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 7(1), pages 1-21.
    • Handle: RePEc:oup:rcorpf:v:7:y:2018:i:1:p:1-21.
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