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Identification with Models and Exogenous Data Variation

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  • Kahn, R. Jay
  • Whited, Toni M.
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 is synonymous with finding sources of exogenous variation. These two issues are often confused. However, 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 examining identification in two recent papers: one causal study relying on an entirely verbal model and one non-causal study relying on a formal mathematical model.

Suggested Citation

  • Kahn, R. Jay & Whited, Toni M., 2016. "Identification with Models and Exogenous Data Variation," Foundations and Trends(R) in Accounting, now publishers, vol. 10(2-4), pages 361-375, August.
    • Handle: RePEc:now:fntacc:1400000051
    DOI: 10.1561/1400000051
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    Cited by:

    1. 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.

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