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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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    1. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 497-532.
    2. Card, David & Krueger, Alan B, 1994. "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania," American Economic Review, American Economic Association, vol. 84(4), pages 772-793, September.
    3. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    4. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    5. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February.
    6. Strebulaev, Ilya A. & Whited, Toni M., 2012. "Dynamic Models and Structural Estimation in Corporate Finance," Foundations and Trends(R) in Finance, now publishers, vol. 6(1–2), pages 1-163, November.
    7. Heckman, James & Pinto, Rodrigo, 2015. "Causal Analysis After Haavelmo," Econometric Theory, Cambridge University Press, vol. 31(1), pages 115-151, February.
    8. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    9. Victor Chernozhukov & Han Hong & Elie Tamer, 2007. "Estimation and Confidence Regions for Parameter Sets in Econometric Models," Econometrica, Econometric Society, vol. 75(5), pages 1243-1284, September.
    10. Morris A. Davis & Jonas D. M. Fisher & Toni M. Whited, 2014. "Macroeconomic Implications of Agglomeration," Econometrica, Econometric Society, vol. 82(2), pages 731-764, March.
    11. Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2017. "Measuring the Sensitivity of Parameter Estimates to Estimation Moments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1553-1592.
    12. Ashenfelter, Orley & Card, David, 1985. "Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 648-660, November.
    13. Shaojin Li & Toni M. Whited & Yufeng Wu, 2016. "Collateral, Taxes, and Leverage," The Review of Financial Studies, Society for Financial Studies, vol. 29(6), pages 1453-1500.
    14. Isaac Sorkin, 2015. "Are There Long-Run Effects of the Minimum Wage?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(2), pages 306-333, April.
    15. 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.
    16. David Neumark & William Wascher, 1992. "Employment Effects of Minimum and Subminimum Wages: Panel Data on State Minimum Wage Laws," ILR Review, Cornell University, ILR School, vol. 46(1), pages 55-81, October.
    17. Shai Bernstein, 2015. "Does Going Public Affect Innovation?," Journal of Finance, American Finance Association, vol. 70(4), pages 1365-1403, August.
    18. Santiago Bazdresch & R. Jay Kahn & Toni M. Whited, 2018. "Estimating and Testing Dynamic Corporate Finance Models," The Review of Financial Studies, Society for Financial Studies, vol. 31(1), pages 322-361.
    19. Joao F. Gomes, 2001. "Financing Investment," American Economic Review, American Economic Association, vol. 91(5), pages 1263-1285, December.
    20. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 533-575.
    21. Arindrajit Dube & T. William Lester & Michael Reich, 2010. "Minimum Wage Effects Across State Borders: Estimates Using Contiguous Counties," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 945-964, November.
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    10. Ladislav Kabat & Luboš Cibák & Stanislav Filip, 2020. "The remittance inflows in Visegrad countries: a source of economic growth, or migration policy misting?," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(2), pages 606-628, December.
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