Identification Is Not Causality, and Vice Versa

27 Pages Posted: 9 Aug 2017

See all articles by R. Jay Kahn

R. Jay Kahn

Board of Governors of the Federal Reserve System

Toni M. Whited

University of Michigan, Department of Economics; National Bureau of Economic Research

Date Written: August 6, 2017

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.

Suggested Citation

Kahn, R. Jay and Whited, Toni M., Identification Is Not Causality, and Vice Versa (August 6, 2017). Available at SSRN: https://ssrn.com/abstract=3014878 or http://dx.doi.org/10.2139/ssrn.3014878

R. Jay Kahn

Board of Governors of the Federal Reserve System ( email )

20th Street and Constitution Avenue NW
Washington, DC 20551
United States

Toni M. Whited (Contact Author)

University of Michigan, Department of Economics ( email )

735 S. State Street
Ann Arbor,, MI 48109

National Bureau of Economic Research ( email )

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

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