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The Agency Problem Revisited: A Structural Analysis of Managerial Productivity and CEO Compensation in Large U.S. Commercial Banks

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Listed:
  • Liu, Shasha

    (Freddie Mac)

  • Sickles, Robin

    (Rice U)

Abstract

The paper analyzes performance, incentives, and the inefficiencies that may arise due to agency problems and market power using a newly developed panel of large U.S. commercial banks that have too-big-to-fail nature. We use a structural model to characterize managerial efficiency, which complements technical efficiency in standard stochastic frontier models. We incorporate managerial decisions, bank-specific characteristics, and market competition in deriving managerial efficiency. Data on the 50 largest commercial banks in the U.S. during 2000 and 2017 are collected from the Call Reports, and are matched with CEO compensation from S&P's Execucomp database. The paper connects empirical evidence with economic theory and contributes to the literature on efficiency and management. The ultimate goal is to better understand the linkages among managerial performance, CEO compensation, and the size and scope of bank operations. Current results point to robust empirical findings. Economies of scale have steadily declined throughout the period, and are not positively related to managerial performance and CEO compensation. The size of a bank does not seem to be justified by the evidence in that larger banks offer larger bonuses and tend to have lower managerial efficiency and diminishing scale economies.

Suggested Citation

  • Liu, Shasha & Sickles, Robin, 2020. "The Agency Problem Revisited: A Structural Analysis of Managerial Productivity and CEO Compensation in Large U.S. Commercial Banks," Working Papers 19-010, Rice University, Department of Economics.
    • Handle: RePEc:ecl:riceco:19-010
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    1. Hughes, Joseph P. & Mester, Loretta J. & Moon, Choon-Geol, 2001. "Are scale economies in banking elusive or illusive?: Evidence obtained by incorporating capital structure and risk-taking into models of bank production," Journal of Banking & Finance, Elsevier, vol. 25(12), pages 2169-2208, December.
    2. Cuñat, Vicente & Guadalupe, Maria, 2009. "Executive compensation and competition in the banking and financial sectors," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 495-504, March.
    3. Philippe Gagnepain & Marc Ivaldi, 2002. "Stochastic Frontiers and Asymmetric Information Models," Journal of Productivity Analysis, Springer, vol. 18(2), pages 145-159, September.
    4. Baumol, William J, 1982. "Contestable Markets: An Uprising in the Theory of Industry Structure," American Economic Review, American Economic Association, vol. 72(1), pages 1-15, March.
    5. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
    6. Feng, Guohua & Serletis, Apostolos, 2010. "Efficiency, technical change, and returns to scale in large US banks: Panel data evidence from an output distance function satisfying theoretical regularity," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 127-138, January.
    7. Simar, Léopold & Wilson, Paul W., 2013. "Estimation and Inference in Nonparametric Frontier Models: Recent Developments and Perspectives," Foundations and Trends(R) in Econometrics, now publishers, vol. 5(3–4), pages 183-337, June.
    8. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    9. Ferrier, Gary D. & Lovell, C. A. Knox, 1990. "Measuring cost efficiency in banking : Econometric and linear programming evidence," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 229-245.
    10. Bauer, Paul W. & Berger, Allen N. & Ferrier, Gary D. & Humphrey, David B., 1998. "Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods," Journal of Economics and Business, Elsevier, vol. 50(2), pages 85-114, March.
    11. Drake, Leigh & Hall, Maximilian J. B., 2003. "Efficiency in Japanese banking: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 27(5), pages 891-917, May.
    12. Blackorby, Charles & Russell, R Robert, 1989. "Will the Real Elasticity of Substitution Please Stand Up? (A Comparison of the Allen/Uzawa and Morishima Elasticities)," American Economic Review, American Economic Association, vol. 79(4), pages 882-888, September.
    13. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    14. Thomas P. Triebs & Subal C. Kumbhakar, 2018. "Management in production: from unobserved to observed," Journal of Productivity Analysis, Springer, vol. 49(2), pages 111-121, June.
    15. Jushan Bai & Josep Lluís Carrion‐i‐Silvestre, 2013. "Testing panel cointegration with unobservable dynamic common factors that are correlated with the regressors," Econometrics Journal, Royal Economic Society, vol. 16(2), pages 222-249, June.
    16. Allen N. Berger & David B. Humphrey, 1992. "Measurement and Efficiency Issues in Commercial Banking," NBER Chapters, in: Output Measurement in the Service Sectors, pages 245-300, National Bureau of Economic Research, Inc.
    17. Kneip, Alois & Sickles, Robin C. & Song, Wonho, 2012. "A New Panel Data Treatment For Heterogeneity In Time Trends," Econometric Theory, Cambridge University Press, vol. 28(3), pages 590-628, June.
    18. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    19. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    20. Vazquez, Francisco & Federico, Pablo, 2015. "Bank funding structures and risk: Evidence from the global financial crisis," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 1-14.
    21. Ahn, Seung C. & Lee, Young H. & Schmidt, Peter, 2013. "Panel data models with multiple time-varying individual effects," Journal of Econometrics, Elsevier, vol. 174(1), pages 1-14.
    22. Jushan Bai, 2013. "Fixed‐Effects Dynamic Panel Models, a Factor Analytical Method," Econometrica, Econometric Society, vol. 81(1), pages 285-314, January.
    23. Robert Clark & Hui Wang & Victor Aguirregabiria, 2017. "The Geographic Flow Of Bank Funding And Access To Credit: Branch Networks And Local-market Competition," Working Paper 1402, Economics Department, Queen's University.
    24. Adams, Robert M & Berger, Allen N & Sickles, Robin C, 1999. "Semiparametric Approaches to Stochastic Panel Frontiers with Applications in the Banking Industry," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 349-358, July.
    25. Adel A. Al‐Sharkas & M. Kabir Hassan & Shari Lawrence, 2008. "The Impact of Mergers and Acquisitions on the Efficiency of the US Banking Industry: Further Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(1‐2), pages 50-70, January.
    26. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    27. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    28. Kutlu, Levent, 2018. "Estimating efficiency in a spatial autoregressive stochastic frontier model," Economics Letters, Elsevier, vol. 163(C), pages 155-157.
    29. Adel A. Al‐Sharkas & M. Kabir Hassan & Shari Lawrence, 2008. "The Impact of Mergers and Acquisitions on the Efficiency of the US Banking Industry: Further Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(1‐2), pages 50-70, January.
    30. Livne, Gilad & Markarian, Garen & Mironov, Maxim, 2013. "Investment horizon, risk, and compensation in the banking industry," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3669-3680.
    31. Junrong Liu & Robin C. Sickles & E. G. Tsionas, 2017. "Bayesian Treatments for Panel Data Stochastic Frontier Models with Time Varying Heterogeneity," Econometrics, MDPI, vol. 5(3), pages 1-21, July.
    32. Laurent Weill, 2004. "Measuring Cost Efficiency in European Banking: A Comparison of Frontier Techniques," Journal of Productivity Analysis, Springer, vol. 21(2), pages 133-152, March.
    33. Richard Davies & Belinda Tracey, 2014. "Too Big to Be Efficient? The Impact of Implicit Subsidies on Estimates of Scale Economies for Banks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(s1), pages 219-253, February.
    34. Hulusi Inanoglu & Michael Jacobs, 2009. "Models for Risk Aggregation and Sensitivity Analysis: An Application to Bank Economic Capital," JRFM, MDPI, vol. 2(1), pages 1-72, December.
    35. Levent Kutlu & Ran Wang, 2018. "Estimation of cost efficiency without cost data," Journal of Productivity Analysis, Springer, vol. 49(2), pages 137-151, June.
    36. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    37. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    38. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
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    2. Alecos Papadopoulos, 2021. "Measuring the effect of management on production: a two-tier stochastic frontier approach," Empirical Economics, Springer, vol. 60(6), pages 3011-3041, June.
    3. Qi Li & Vasilis Sarafidis & Joakim Westerlund, 2021. "Essays in honor of Professor Badi H Baltagi," Empirical Economics, Springer, vol. 60(1), pages 1-11, January.
    4. Li, Qi & Sarafidis, Vasilis & Westerlund, Joakim, 2020. "Essays in Honor of Professor Badi H Baltagi: Editorial," MPRA Paper 104751, University Library of Munich, Germany.
    5. Robin C. Sickles & Kai Sun & Thomas P. Triebs, 2021. "The optimal use of management," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1346-1363, July.
    6. Natalya Zelenyuk & Robert Faff, 2022. "Effects of incentive pay on systemic risk: evidence from CEO compensation and CoVar," Empirical Economics, Springer, vol. 63(6), pages 3289-3311, December.
    7. Alberto Razul & Orlando Gomes & Mohamed Azzim Gulamhussen, 2024. "Bonuses, options, and bank strategies," SN Business & Economics, Springer, vol. 4(1), pages 1-28, January.

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    More about this item

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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