IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v22y2009i1p435-480.html
   My bibliography  Save this article

Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches

Author

Listed:
  • Mitchell A. Petersen

Abstract

In corporate finance and asset pricing empirical work, researchers are often confronted with panel data. In these data sets, the residuals may be correlated across firms or across time, and OLS standard errors can be biased. Historically, researchers in the two literatures have used different solutions to this problem. This paper examines the different methods used in the literature and explains when the different methods yield the same (and correct) standard errors and when they diverge. The intent is to provide intuition as to why the different approaches sometimes give different answers and give researchers guidance for their use. The Author 2008. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org, Oxford University Press.

Suggested Citation

  • Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    • Handle: RePEc:oup:rfinst:v:22:y:2009:i:1:p:435-480
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rfs/hhn053
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Malcolm Baker & Jeremy C. Stein & Jeffrey Wurgler, 2003. "When Does the Market Matter? Stock Prices and the Investment of Equity-Dependent Firms," The Quarterly Journal of Economics, Oxford University Press, vol. 118(3), pages 969-1005.
    2. Gabor Kezdi, 2005. "Robus Standard Error Estimation in Fixed-Effects Panel Models," Econometrics 0508018, University Library of Munich, Germany.
    3. Sapienza, Paola, 2004. "The effects of government ownership on bank lending," Journal of Financial Economics, Elsevier, vol. 72(2), pages 357-384, May.
    4. Eugene F. Fama, 2002. "Testing Trade-Off and Pecking Order Predictions About Dividends and Debt," Review of Financial Studies, Society for Financial Studies, vol. 15(1), pages 1-33, March.
    5. David B. Gross, 2002. "An Empirical Analysis of Personal Bankruptcy and Delinquency," Review of Financial Studies, Society for Financial Studies, vol. 15(1), pages 319-347, March.
    6. Michael Faulkender & Mitchell A. Petersen, 2006. "Does the Source of Capital Affect Capital Structure?," The Review of Financial Studies, Society for Financial Studies, vol. 19(1), pages 45-79.
    7. Chen, Joseph & Hong, Harrison & Stein, Jeremy C., 2001. "Forecasting crashes: trading volume, past returns, and conditional skewness in stock prices," Journal of Financial Economics, Elsevier, vol. 61(3), pages 345-381, September.
    8. Brockman, Paul & Chung, Dennis Y., 2001. "Managerial timing and corporate liquidity: *1: evidence from actual share repurchases," Journal of Financial Economics, Elsevier, vol. 61(3), pages 417-448, September.
    9. Stephen G. Donald & Kevin Lang, 2007. "Inference with Difference-in-Differences and Other Panel Data," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 221-233, May.
    10. Sugato Chakravarty & Huseyin Gulen & Stewart Mayhew, 2004. "Informed Trading in Stock and Option Markets," Journal of Finance, American Finance Association, vol. 59(3), pages 1235-1258, June.
    11. Lamont, Owen A. & Polk, Christopher, 2002. "Does diversification destroy value? Evidence from the industry shocks," Journal of Financial Economics, Elsevier, vol. 63(1), pages 51-77, January.
    12. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    13. Peter MacKay, 2003. "Real Flexibility and Financial Structure: An Empirical Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 16(4), pages 1131-1165.
    14. Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
    15. Lakonishok, Josef & Lee, Inmoo, 2001. "Are Insider Trades Informative?," The Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 79-111.
    16. Cohen, Randolph B. & Gompers, Paul A. & Vuolteenaho, Tuomo, 2002. "Who underreacts to cash-flow news? evidence from trading between individuals and institutions," Journal of Financial Economics, Elsevier, vol. 66(2-3), pages 409-462.
    17. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    18. Jeffrey M. Wooldridge, 2003. "Cluster-Sample Methods in Applied Econometrics," American Economic Review, American Economic Association, vol. 93(2), pages 133-138, May.
    19. Ravi Jagannathan & Zhenyu Wang, 1998. "An Asymptotic Theory for Estimating Beta-Pricing Models Using Cross-Sectional Regression," Journal of Finance, American Finance Association, vol. 53(4), pages 1285-1309, August.
    20. Doidge, Craig, 2004. "U.S. cross-listings and the private benefits of control: evidence from dual-class firms," Journal of Financial Economics, Elsevier, vol. 72(3), pages 519-553, June.
    21. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    22. Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-338, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023. "When Should You Adjust Standard Errors for Clustering?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 1-35.
    2. A. Colin Cameron & Douglas L. Miller, 2010. "Robust Inference with Clustered Data," Working Papers 106, University of California, Davis, Department of Economics.
    3. Hansen, Bruce E. & Lee, Seojeong, 2019. "Asymptotic theory for clustered samples," Journal of Econometrics, Elsevier, vol. 210(2), pages 268-290.
    4. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    5. Vikström, Johan, 2009. "Cluster sample inference using sensitivity analysis: the case with few groups," Working Paper Series 2009:15, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    6. Cameron, A. Colin & Gelbach, Jonah B. & Miller, Douglas L., 2011. "Robust Inference With Multiway Clustering," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 238-249.
    7. Hong, Harrison & Wang, Jiang & Yu, Jialin, 2008. "Firms as buyers of last resort," Journal of Financial Economics, Elsevier, vol. 88(1), pages 119-145, April.
    8. Aabo, Tom & Pantzalis, Christos & Park, Jung Chul, 2016. "Multinationality as real option facilitator — Illusion or reality?," Journal of Corporate Finance, Elsevier, vol. 38(C), pages 1-17.
    9. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    10. A. Colin Cameron & Douglas L. Miller, 2010. "Robust Inference with Clustered Data," Working Papers 318, University of California, Davis, Department of Economics.
    11. Rok Spruk & Mitja Kovac, 2018. "Inefficient Growth," Review of Economics and Institutions, Università di Perugia, vol. 9(2).
    12. Jinhu Li & Jeremiah Hurley & Philip DeCicca & Gioia Buckley, 2014. "Physician Response To Pay‐For‐Performance: Evidence From A Natural Experiment," Health Economics, John Wiley & Sons, Ltd., vol. 23(8), pages 962-978, August.
    13. Thomas C. Buchmueller & John DiNardo & Robert G. Valletta, 2011. "The Effect of an Employer Health Insurance Mandate on Health Insurance Coverage and the Demand for Labor: Evidence from Hawaii," American Economic Journal: Economic Policy, American Economic Association, vol. 3(4), pages 25-51, November.
    14. Boerner, Lars & Volckart, Oliver, 2011. "The utility of a common coinage: Currency unions and the integration of money markets in late Medieval Central Europe," Explorations in Economic History, Elsevier, vol. 48(1), pages 53-65, January.
    15. James G. MacKinnon & Matthew D. Webb, 2017. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 233-254, March.
    16. Biljana N. Adebambo & Xuemin (Sterling) Yan, 2018. "Investor Overconfidence, Firm Valuation, and Corporate Decisions," Management Science, INFORMS, vol. 64(11), pages 5349-5369, November.
    17. John A. Maluccio & John Hoddinott & Jere R. Behrman & Reynaldo Martorell & Agnes R. Quisumbing & Aryeh D. Stein, 2009. "The Impact of Improving Nutrition During Early Childhood on Education among Guatemalan Adults," Economic Journal, Royal Economic Society, vol. 119(537), pages 734-763, April.
    18. Mitja Kovac & Salvini Datta & Rok Spruk, 2021. "Pharmaceutical Product Liability, Litigation Regimes, and the Propensity to Patent: An Empirical Firm-Level Investigation," SAGE Open, , vol. 11(2), pages 21582440211, April.
    19. Miroslav Verbič & Rok Spruk, 2019. "Political economy of pension reforms: an empirical investigation," European Journal of Law and Economics, Springer, vol. 47(2), pages 171-232, April.
    20. Shanken, Jay & Zhou, Guofu, 2007. "Estimating and testing beta pricing models: Alternative methods and their performance in simulations," Journal of Financial Economics, Elsevier, vol. 84(1), pages 40-86, April.

    More about this item

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G3 - Financial Economics - - Corporate Finance and Governance
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:rfinst:v:22:y:2009:i:1:p:435-480. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/sfsssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.