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Panel-Data Estimation in Finance: Testable Assumptions and Parameter (In)Consistency

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  • Grieser, William D.
  • Hadlock, Charles J.

Abstract

We investigate the strict-exogeneity assumption, a necessary condition for estimator consistency in many finance panel-data applications. We outline tests for strict exogeneity in both traditional (non–instrumental variable (IV)) and IV settings. When we apply these tests in common traditional finance panel regressions, we find that the strict-exogeneity assumption is often strongly rejected, suggesting large inference errors. We test for strict exogeneity in specific finance panel-data IV settings and illustrate the potential for these tests to help confirm, or rule out, the validity of common panel-data IV estimators. We offer recommendations to address the strict-exogeneity issue in finance research.

Suggested Citation

  • Grieser, William D. & Hadlock, Charles J., 2019. "Panel-Data Estimation in Finance: Testable Assumptions and Parameter (In)Consistency," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(1), pages 1-29, February.
    • Handle: RePEc:cup:jfinqa:v:54:y:2019:i:01:p:1-29_00
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    Cited by:

    1. Berg, Tobias & Reisinger, Markus & Streitz, Daniel, 2021. "Spillover effects in empirical corporate finance," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1109-1127.
    2. William Grieser & Charles J. Hadlock & Joshua R. Pierce, 2021. "Doing good when doing well: evidence on real earnings management," Review of Accounting Studies, Springer, vol. 26(3), pages 906-932, September.
    3. Grieser, William & Hadlock, Charles & LeSage, James & Zekhnini, Morad, 2022. "Network effects in corporate financial policies," Journal of Financial Economics, Elsevier, vol. 144(1), pages 247-272.
    4. Ararat, Melsa & Yurtoglu, B. Burcin, 2021. "Female directors, board committees, and firm performance: Time-series evidence from Turkey," Emerging Markets Review, Elsevier, vol. 48(C).
    5. Bilgin, Rumeysa, 2023. "The Selection Of Control Variables In Capital Structure Research With Machine Learning," SocArXiv e26qf, Center for Open Science.
    6. Bhagat, Sanjai & Bolton, Brian, 2019. "Corporate governance and firm performance: The sequel," Journal of Corporate Finance, Elsevier, vol. 58(C), pages 142-168.
    7. Paul Demeré, 2023. "Is tax return information useful to equity investors?," Review of Accounting Studies, Springer, vol. 28(3), pages 1413-1465, September.
    8. Shan Ge, 2022. "How Do Financial Constraints Affect Product Pricing? Evidence from Weather and Life Insurance Premiums," Journal of Finance, American Finance Association, vol. 77(1), pages 449-503, February.
    9. Feng Huang & Jie Gao, 2022. "Customer and Tax Avoidance: How Does Customer Geographic Proximity Affect a Supplier’s Tax Avoidance?," Sustainability, MDPI, vol. 14(22), pages 1-30, November.
    10. Vladimir Atanasov & Bernard Black, 2021. "The Trouble with Instruments: The Need for Pretreatment Balance in Shock-Based Instrumental Variable Designs," Management Science, INFORMS, vol. 67(2), pages 1270-1302, February.
    11. Faria, João Ricardo & Tindall, Greg & Terjesen, Siri, 2022. "The Green Tobin's q: theory and evidence," Energy Economics, Elsevier, vol. 110(C).
    12. Armstrong, Christopher & Kepler, John D. & Samuels, Delphine & Taylor, Daniel, 2022. "Causality redux: The evolution of empirical methods in accounting research and the growth of quasi-experiments," Journal of Accounting and Economics, Elsevier, vol. 74(2).
    13. Johnson, Travis L. & Swem, Nathan, 2021. "Reputation and investor activism: A structural approach," Journal of Financial Economics, Elsevier, vol. 139(1), pages 29-56.
    14. Yehuda Izhakian & David Yermack & Jaime F. Zender, 2022. "Ambiguity and the Tradeoff Theory of Capital Structure," Management Science, INFORMS, vol. 68(6), pages 4090-4111, June.

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