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Estimating dynamic panel models in corporate finance

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  • Flannery, Mark J.
  • Hankins, Kristine Watson

Abstract

Dynamic panel models play a natural role in several important areas of corporate finance, but the combination of fixed effects and lagged dependent variables introduces serious econometric bias. Several methods of counteracting these biases are available and these methodologies have been tested on small datasets with independent, normally-distributed explanatory variables. However, no one has evaluated the methods' performance with corporate finance data, in which the dependent variable may be clustered or censored and independent variables may be missing, correlated with one another, or endogenous. We find that the data's properties substantially affect the estimators' performances. We provide evidence about the impact of various data set characteristics on the estimators, so that researchers can determine the best approach for their datasets.

Suggested Citation

  • Flannery, Mark J. & Hankins, Kristine Watson, 2013. "Estimating dynamic panel models in corporate finance," Journal of Corporate Finance, Elsevier, vol. 19(C), pages 1-19.
    • Handle: RePEc:eee:corfin:v:19:y:2013:i:c:p:1-19
    DOI: 10.1016/j.jcorpfin.2012.09.004
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    as
    1. Ivo Welch, 2004. "Capital Structure and Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 106-131, February.
    2. Hahn, Jinyong & Hausman, Jerry & Kuersteiner, Guido, 2007. "Long difference instrumental variables estimation for dynamic panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 574-617, October.
    3. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    4. Xin Chang & Sudipto Dasgupta, 2009. "Target Behavior and Financing: How Conclusive Is the Evidence?," Journal of Finance, American Finance Association, vol. 64(4), pages 1767-1796, August.
    5. Stephen Bond & Costas Meghir, 1994. "Dynamic Investment Models and the Firm's Financial Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(2), pages 197-222.
    6. Nelson, Charles R & Startz, Richard, 1990. "The Distribution of the Instrumental Variables Estimator and Its t-Ratio When the Instrument Is a Poor One," The Journal of Business, University of Chicago Press, vol. 63(1), pages 125-140, January.
    7. Machin, Stephen & Van Reenen, John, 1993. "Profit Margins and the Business Cycle: Evidence from UK Manufacturing Firms," Journal of Industrial Economics, Wiley Blackwell, vol. 41(1), pages 29-50, March.
    8. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    9. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    10. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. 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.
    12. Hausman, Jerry A & Taylor, William E, 1983. "Identification in Linear Simultaneous Equations Models with Covariance Restrictions: An Instrumental Variables Interpretation," Econometrica, Econometric Society, vol. 51(5), pages 1527-1549, September.
    13. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    14. 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.
    15. Hovakimian, Armen & Li, Guangzhong, 2011. "In search of conclusive evidence: How to test for adjustment to target capital structure," Journal of Corporate Finance, Elsevier, vol. 17(1), pages 33-44, February.
    16. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    17. Peter MacKay & Gordon M. Phillips, 2005. "How Does Industry Affect Firm Financial Structure?," Review of Financial Studies, Society for Financial Studies, vol. 18(4), pages 1433-1466.
    18. Huang, Rongbing & Ritter, Jay R., 2009. "Testing Theories of Capital Structure and Estimating the Speed of Adjustment," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(2), pages 237-271, April.
    19. Stephen Bond & Julie Ann Elston & Jacques Mairesse & Benoît Mulkay, 2003. "Financial Factors and Investment in Belgium, France, Germany, and the United Kingdom: A Comparison Using Company Panel Data," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 153-165, February.
    20. Faulkender, Michael & Flannery, Mark J. & Hankins, Kristine Watson & Smith, Jason M., 2012. "Cash flows and leverage adjustments," Journal of Financial Economics, Elsevier, vol. 103(3), pages 632-646.
    21. 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.
    22. Papke, Leslie E. & Wooldridge, Jeffrey M., 2008. "Panel data methods for fractional response variables with an application to test pass rates," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 121-133, July.
    23. Bruno, Giovanni S.F., 2005. "Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models," Economics Letters, Elsevier, vol. 87(3), pages 361-366, June.
    24. Flannery, Mark J. & Rangan, Kasturi P., 2006. "Partial adjustment toward target capital structures," Journal of Financial Economics, Elsevier, vol. 79(3), pages 469-506, March.
    25. Fama, Eugene F. & French, Kenneth R., 1997. "Industry costs of equity," Journal of Financial Economics, Elsevier, vol. 43(2), pages 153-193, February.
    26. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    27. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    28. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    29. Andres, Christian & Betzer, André & Goergen, Marc & Renneboog, Luc, 2009. "Dividend policy of German firms: A panel data analysis of partial adjustment models," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 175-187, March.
    30. Wintoki, M. Babajide & Linck, James S. & Netter, Jeffry M., 2012. "Endogeneity and the dynamics of internal corporate governance," Journal of Financial Economics, Elsevier, vol. 105(3), pages 581-606.
    31. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    32. Fischer, Edwin O & Heinkel, Robert & Zechner, Josef, 1989. " Dynamic Capital Structure Choice: Theory and Tests," Journal of Finance, American Finance Association, vol. 44(1), pages 19-40, March.
    33. Loudermilk, Margaret S., 2007. "Estimation of Fractional Dependent Variables in Dynamic Panel Data Models With an Application to Firm Dividend Policy," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 462-472, October.
    34. Aydin Ozkan, 2000. "An empirical analysis of corporate debt maturity structure," European Financial Management, European Financial Management Association, vol. 6(2), pages 197-212, June.
    35. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    More about this item

    Keywords

    Dynamic panels; Corporate finance; Econometrics;
    All these keywords.

    JEL classification:

    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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