Abstract
Insurers are increasingly using benchmarking techniques to identify operations that need improvement by comparing their performance with other firms in the industry. An important new class of bench-marking methods has been developed called frontier efficiency methodologies. The frontier methodologies measure firm performance relative to “best practice” frontiers derived from firms in the industry. Such measures are superior to traditional techniques such as financial ratio analysis because they summarize firm performance in a single statistic that controls for differences among firms using a sophisticated multidimensional framework. Frontiers can be estimated to measure firm success in employing technology (technical efficiency), attaining optimal size (scale efficiency), minimizing costs (cost efficiency), maximizing revenues (revenue efficiency), and maximizing profits (profit efficiency). In this chapter, frontier efficiency analysis is employed to evaluate the efficiency of U.S. life insurance companies. We estimate technical, scale, cost, and revenue efficiency for a sample of insurers that represent 80 percent of industry assets.
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References
Berger, Allen N., J. David Cummins, and Mary A. Weiss. “The Coexistence of Multiple Distribution Systems for Financial Services: The Case of Property-Liability Insurance,” Journal of Business 70 (1997), 515–546.
Berger, Allen N. and David B. Humphrey. “Measurement and Efficiency Issues in Commercial Banking,” in Z. Griliches (ed.), Output Measurement in the Service Sectors, National Bureau of Economic Research, Studies in Income and Wealth, Vol. 56. Chicago, IL: University of Chicago Press (1992), 245–79.
Carr, Roderick M. Strategic Choices, Firm Efficiency and Competitiveness in the U.S. Life Insurance Industry. Ph.D. diss. The Wharton School, University of Pennsylvania, Philadelphia, 1997.
Charnes, Abraham, William Cooper, Arie Y. Lewin, and Lawrence M. Seiford. Data Envelopment Analysis: Theory, Methodology, and Application, Norwell, MA: Kluwer Academic Publishers, 1994.
Cummins, J. David, Sharon Tennyson, and Mary A. Weiss. “Life Insurance Mergers and Acquisitions,” in J.D. Cummins and A. Santomero (eds.), Changes in the Life Insurance Industry: Efficiency, Technology, and Risk Management, 1999.
Cummins, J. David and Mary A. Weiss. “Measuring Cost Efficiency in the Property-Liability Insurance Industry,” Journal of Banking and Finance 17 (1993), 463–481.
Cummins, J. David, M. Weiss, and H. Zi. “Organizational Form and Efficiency: An Analysis of Stock and Mutual Property-Liability Insurers,” forthcoming in Management Science, 1999.
Cummins, J. David and H. Zi. “Comparison of Frontier Efficiency Methods: An Application To the U.S. Life Insurance Industry,” Journal of Productivity Analysis 10 (1998), 131–152.
Cummins, J. David., S. Tennyson, and M. Weiss. “Consolidation and Efficiency in the U.S. Life Insurance Industry,” Journal of Banking and Finance 23 (1999), 325–357.
Farrell, M.J. “The Measurement of Productive Efficiency,” Journal of the Royal Statistical Society A120 (1957), 253–281.
Fried, H.O., C.A.K. Lovell, and S.S. Schmidt (eds.), The Measurement of Productive Efficiency, New York: Oxford University Press, 1993.
Hitt, Lorin M. “The Impact of the Information Technology Management Practices on the Performance of Life Insurance Companies,” in J.D Cummins and A. Santomero (eds.), Changes in the Life Insurance Industry: Efficiency, Technology, and Risk Management, 1999.
Meador, Joseph W., Harley E. Ryan, Jr., and Carolin D. Schellhorn. “Product Focus Versus Diversification: Estimates of X-Efficiency for the U.S. Life Insurance Industry,” Working paper, Northeastern University, Boston, MA, 1998.
Weiss, Mary A. “Analysis of Productivity at the Firm level: An Application to Life Insurers,” Journal of Risk and Insurance, (March 1986), 49–83.
Weiss, Mary A. “Macroeconomic Insurance Output Estimation,” Journal of Risk and Insurance, September, 1987, 582–593.
Yuengert, A. “The Measurement of Efficiency in Life Insurance: Estimates of a Mixed Normal-Gamma Error Model,” Journal of Banking and Finance 17 (1993), 483–96.
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Cummins, J.D. (1999). Efficiency in the U.S. Life Insurance Industry: Are Insurers Minimizing Costs and Maximizing Revenues?. In: Cummins, J.D., Santomero, A.M. (eds) Changes in the Life Insurance Industry: Efficiency, Technology and Risk Management. Innovations in Financial Markets and Institutions, vol 11. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5045-7_3
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DOI: https://doi.org/10.1007/978-1-4615-5045-7_3
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