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Economic magnitudes within reason

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  • Liu, Zack
  • Winegar, Adam

Abstract

A common method of calculating economic magnitudes is to multiply the regression coefficient of the variable of interest by its sample standard deviation. This method is often problematic in finance settings when researchers use granular fixed effects. We show that in many recently published finance papers and for many common finance variables, the sample standard deviation is much larger than the within-group variation that identifies the regression coefficient, and that within-group changes of this magnitude are rare. Without additional assumptions, this common approach can significantly inflate the economic magnitude of the identified effect and impact the comparison of effects among different variables of interest. We recommend using within-group measures of variation to improve the interpretation of economic magnitudes in this setting.

Suggested Citation

  • Liu, Zack & Winegar, Adam, 2025. "Economic magnitudes within reason," Journal of Corporate Finance, Elsevier, vol. 91(C).
  • Handle: RePEc:eee:corfin:v:91:y:2025:i:c:s092911992400169x
    DOI: 10.1016/j.jcorpfin.2024.102707
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    1. Deirdre N. McCloskey & Stephen T. Ziliak, 1996. "The Standard Error of Regressions," Journal of Economic Literature, American Economic Association, vol. 34(1), pages 97-114, March.
    2. Chen, Tao & Dong, Hui & Lin, Chen, 2020. "Institutional shareholders and corporate social responsibility," Journal of Financial Economics, Elsevier, vol. 135(2), pages 483-504.
    3. Farzad Saidi & Daniel Streitz, 2021. "Bank Concentration and Product Market Competition," The Review of Financial Studies, Society for Financial Studies, vol. 34(10), pages 4999-5035.
    4. Gary Solon & Steven J. Haider & Jeffrey M. Wooldridge, 2015. "What Are We Weighting For?," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 301-316.
    5. Clément de Chaisemartin & Xavier D'Haultfœuille, 2020. "Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects," American Economic Review, American Economic Association, vol. 110(9), pages 2964-2996, September.
    6. Ross Levine & Chen Lin & Mingzhu Tai & Wensi Xie, 2021. "How Did Depositors Respond to COVID-19? [A crisis of banks as liquidity providers]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5438-5473.
    7. Griffin, John M. & Kruger, Samuel & Maturana, Gonzalo, 2021. "What drove the 2003–2006 house price boom and subsequent collapse? Disentangling competing explanations," Journal of Financial Economics, Elsevier, vol. 141(3), pages 1007-1035.
    8. Murray Z. Frank & Vidhan K. Goyal, 2009. "Capital Structure Decisions: Which Factors Are Reliably Important?," Financial Management, Financial Management Association International, vol. 38(1), pages 1-37, March.
    9. David Berger & Nicholas Turner & Eric Zwick, 2020. "Stimulating Housing Markets," Journal of Finance, American Finance Association, vol. 75(1), pages 277-321, February.
    10. Davidson Heath & Christopher Mace, 2020. "The Strategic Effects of Trademark Protection," Review of Finance, European Finance Association, vol. 33(4), pages 1848-1877.
    11. Cohn, Jonathan B. & Liu, Zack & Wardlaw, Malcolm I., 2022. "Count (and count-like) data in finance," Journal of Financial Economics, Elsevier, vol. 146(2), pages 529-551.
    12. Joseph Kalmenovitz, 2021. "Incentivizing Financial Regulators," The Review of Financial Studies, Society for Financial Studies, vol. 34(10), pages 4745-4784.
    13. Liao, Gordon Y., 2020. "Credit migration and covered interest rate parity," Journal of Financial Economics, Elsevier, vol. 138(2), pages 504-525.
    14. Kai Li & Feng Mai & Rui Shen & Xinyan Yan, 2021. "Measuring Corporate Culture Using Machine Learning," NBER Chapters, in: Big Data: Long-Term Implications for Financial Markets and Firms, pages 3265-3315, National Bureau of Economic Research, Inc.
    15. Darwin Choi & Zhenyu Gao & Wenxi Jiang, 2020. "Attention to Global Warming," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1112-1145.
    16. John R. Graham & Si Li & Jiaping Qiu, 2012. "Managerial Attributes and Executive Compensation," The Review of Financial Studies, Society for Financial Studies, vol. 25(1), pages 144-186.
    17. Todd Mitton, 2024. "Economic Significance in Corporate Finance," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 13(1), pages 38-79.
    18. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    19. Mummolo, Jonathan & Peterson, Erik, 2018. "Improving the Interpretation of Fixed Effects Regression Results," Political Science Research and Methods, Cambridge University Press, vol. 6(4), pages 829-835, October.
    20. Davidson Heath & Matthew C. Ringgenberg & Mehrdad Samadi & Ingrid M. Werner, 2023. "Reusing Natural Experiments," Journal of Finance, American Finance Association, vol. 78(4), pages 2329-2364, August.
    21. Baker, Andrew C. & Larcker, David F. & Wang, Charles C.Y., 2022. "How much should we trust staggered difference-in-differences estimates?," Journal of Financial Economics, Elsevier, vol. 144(2), pages 370-395.
    22. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    23. Roberts, Michael R. & Whited, Toni M., 2013. "Endogeneity in Empirical Corporate Finance1," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 493-572, Elsevier.
    24. ., 2024. "The pervasiveness of measurement error," Chapters, in: On the Inaccuracies of Economic Observations, chapter 3, pages 64-100, Edward Elgar Publishing.
    25. Gibbons Charles E. & Suárez Serrato Juan Carlos & Urbancic Michael B., 2019. "Broken or Fixed Effects?," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-12, January.
    26. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769, December.
    27. 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.
    28. Kai Li & Feng Mai & Rui Shen & Xinyan Yan, 2021. "Measuring Corporate Culture Using Machine Learning [Machine learning methods that economists should know about]," The Review of Financial Studies, Society for Financial Studies, vol. 34(7), pages 3265-3315.
    29. Tania Babina, 2020. "Destructive Creation at Work: How Financial Distress Spurs Entrepreneurship," The Review of Financial Studies, Society for Financial Studies, vol. 33(9), pages 4061-4101.
    30. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    31. Yi Huang & Marco Pagano & Ugo Panizza, 2020. "Local Crowding‐Out in China," Journal of Finance, American Finance Association, vol. 75(6), pages 2855-2898, December.
    32. Michael L. Lemmon & Michael R. Roberts & Jaime F. Zender, 2008. "Back to the Beginning: Persistence and the Cross‐Section of Corporate Capital Structure," Journal of Finance, American Finance Association, vol. 63(4), pages 1575-1608, August.
    33. ., 2024. "Measuring measurement error," Chapters, in: On the Inaccuracies of Economic Observations, chapter 2, pages 35-63, Edward Elgar Publishing.
    34. Zandberg, Jonathan, 2021. "Family comes first: Reproductive health and the gender gap in entrepreneurship," Journal of Financial Economics, Elsevier, vol. 140(3), pages 838-864.
    35. Arellano, Manuel & Honore, Bo, 2001. "Panel data models: some recent developments," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 53, pages 3229-3296, Elsevier.
    36. Davidson Heath & Christopher Mace, 2020. "The Strategic Effects of Trademark Protection," The Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1848-1877.
    37. Begley, Taylor A. & Purnanandam, Amiyatosh, 2021. "Color and credit: Race, regulation, and the quality of financial services," Journal of Financial Economics, Elsevier, vol. 141(1), pages 48-65.
    38. King, Gary & Zeng, Langche, 2006. "The Dangers of Extreme Counterfactuals," Political Analysis, Cambridge University Press, vol. 14(2), pages 131-159, April.
    39. Coles, Jeffrey L. & Li, Zhichuan F., 2023. "An Empirical Assessment of Empirical Corporate Finance," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 58(4), pages 1391-1430, June.
    40. Todd Mitton, 2022. "Methodological Variation in Empirical Corporate Finance," The Review of Financial Studies, Society for Financial Studies, vol. 35(2), pages 527-575.
    41. ., 2024. "Introduction: measurement error in economics," Chapters, in: On the Inaccuracies of Economic Observations, chapter 1, pages 1-31, Edward Elgar Publishing.
    42. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    43. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
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