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A two-stage DEA model to evaluate the overall performance of Canadian life and health insurance companies. (English) Zbl 1171.90468

Summary: A two-stage data envelopment analysis (DEA) model is created to provide valuable managerial insights when assessing the dual impacts of operating and business strategies for the Canadian life and health (L&H) insurance industry. This new model allows integration of the production performance and investment performance for the insurance companies and provides management overall performance evaluation and how to achieve efficiency systematically for the insurers involved. The results also show that the Canadian L&H insurance industry operated fairly efficiently during the period examined (the year 1998). In addition, the scale efficiency in the Canadian L&H insurance industry is found in this study.

MSC:

90B90 Case-oriented studies in operations research
90C05 Linear programming
90B50 Management decision making, including multiple objectives
Full Text: DOI

References:

[1] A.S. Vela, Canadian life and health insurance productivity evaluation using data envelopment analysis, M.A.Sc. Dissertation, University of Toronto, 1999; A.S. Vela, Canadian life and health insurance productivity evaluation using data envelopment analysis, M.A.Sc. Dissertation, University of Toronto, 1999
[2] Banker, R. D.; Charnes, A.; Cooper, W. W., Some models for estimating technical and scale inefficiencies in data envelopment analysis, Management Science, 30, 1078-1092 (1984) · Zbl 0552.90055
[3] Charnes, A.; Cooper, W. W.; Rhodes, E. L., Measuring the efficiency of decision making units, European Journal of Operational Research, 2, 6, 429-444 (1978) · Zbl 0416.90080
[4] Banker, R. D.; Morey, R., The use of categorical variables in data envelopment analysis, Management Science, 32, 12, 1613-1627 (1986)
[5] Banker, R. D.; Morey, R. C., Efficiency analysis for exogenously fixed inputs and outputs, Operations Research, 34, 4, 513-521 (1986) · Zbl 0609.90074
[6] Thompson, R. G.; Langemeier, L. N.; Lee, C. T.; Lee, E.; Thrall, R. M., The role of multiple bounds in efficiency analysis with applications to kansas farming, Journal of Econometrics, 46, 93-108 (1990)
[7] Cooper, W. W.; Seiford, L. M.; Tone, K., Data Envelopment Analysis — A comprehensive Text with Models, Applications, References and DEA-Solver Software (2000), Kluwer Academic Publisher · Zbl 0990.90500
[8] Charnes, A.; Clark, C. T.; Cooper, W. W.; Golany, B., A development study of data envelopment analysis in measuring the efficiency of maintenance units in the US air forces, Annuals of Operations Research, 2, 95-112 (1985)
[9] Banker, R. D., Maximum likelihood, consistency and data envelopment analysis: a statistical foundation, Management Science, 39, 10, 1265-1273 (1993) · Zbl 0798.90009
[10] Sengupta, J. K., Efficiency measurement in stochastic input-output systems, International Journal of Systems Science, 13, 273-287 (1982) · Zbl 0478.93048
[11] Desai, A. A.; Schinnar, P., Stochastic Data Envelopment Analysis (1987), The Ohio State University
[12] Gong, L.; Sun, B., Efficiency measurement of production operations under uncertainty, International Journal of Production Economics, 39, 55-66 (1995)
[13] Cooper, W. W.; Huang, Z.; Li, S. X., Satisfying DEA models under chance constraints, Annuals of Operations Research, 66, 279-295 (1996) · Zbl 0864.90003
[14] Cooper, W. W.; Huang, Z.; Lelas, V.; Li, S. X.; Olesen, O. B., Chance constrained programming formulations for stochastic characterizations of efficiency and dominance in DEA, Journal of Productivity Analysis, 9, 53-79 (1998)
[15] DEA: Theory, Methodology and Applications (1994), Kluwer Academic Publishers: Kluwer Academic Publishers Boston
[16] Handbook on Data Envelopment Analysis (2004), Kluwer Academic Publishers · Zbl 1050.90002
[17] E. Hannah, V. Yeung, Report of the Task Force on the Future of the Canadian Financial Services Sector, Financial Regulation Report, London, October 1998; E. Hannah, V. Yeung, Report of the Task Force on the Future of the Canadian Financial Services Sector, Financial Regulation Report, London, October 1998
[18] Yuengert, A. M., The measurement of efficiency in life insurance: estimates of a mixed normal-gamma error model, Journal of Banking and Finance, 17, 483-496 (1993)
[19] Gardner, L. A.; Grace, M. F., X-efficiency in the US life insurance industry, Journal of Banking and Finance, 17, 497-510 (1993)
[20] Fecher, F.; Kessler, D.; Perelman, S.; Pestieau, P., Productive performance of the French insurance industry, Journal of Productivity Analysis, 4, 77-93 (1993)
[21] Cummins, J. D.; Zi, H., Comparison of frontier efficiency methods: an application to the US life insurance industry, Journal of Productivity Analysis, 10, 131-152 (1998)
[22] Ondrich, J.; Ruggiero, J., Efficiency measurement in the stochastic frontier model, European Journal of Operational Research, 129, 434-442 (2001) · Zbl 0980.90023
[23] Cummins, J. D.; Tennyson, S.; Weiss, M. A., Consolidation and efficiency in the US life insurance industry, Journal of Banking and Finance, 23, 325-357 (1999)
[24] J.D. Cummins, M. Rubio-Misas, Efficiency in the Spanish insurance industry, Working Paper, The Wharton School, University of Pennsylvania, 1998; J.D. Cummins, M. Rubio-Misas, Efficiency in the Spanish insurance industry, Working Paper, The Wharton School, University of Pennsylvania, 1998
[25] Fukuyama, H., Investigating productive efficiency and productivity changes of Japanese life insurance companies, Pacific-Basin Finance Journal, 5, 481-509 (1997)
[26] J.D. Cummins, G. Turchetti, M.A. Weiss, Productivity and technical efficiency in the Italian insurance industry, Working Paper 96-10, The Wharton School, University of Pennsylvania, 1996; J.D. Cummins, G. Turchetti, M.A. Weiss, Productivity and technical efficiency in the Italian insurance industry, Working Paper 96-10, The Wharton School, University of Pennsylvania, 1996
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