International Journal of Mathematics Trends and Technology
Volume 4 | Issue 10 | Year 2013 | Article Id. IJMTT-V4I10P3 | DOI : https://doi.org/10.14445/22315373/IJMTT-V4I10P3
The present paper attempts to investigate the efficiency of life insurance companies in India for the year 2011. An insurance company is said to be efficient if it produce maximum profit using minimum level of available resources. Due to new policies of Government of India, many new insurance companies emerged in Indian market which created a high competition among themselves, which made administrators to monitor their company’s efficiency level over a period of times to make improvement or changes in their strategy to survive. Studying efficiency of an organization became pioneering area of research during the last several years. Among many frontier techniques Stochastic Frontier Analysis (SFA) is one of the best known techniques to determine the efficiency. The SFA results indicate that the efficient scores lie between the values 0.1244 to 0.9992; and the average efficient score for all 24 life insurance companies is 0.5767. The life insurance company LI03 is ranked first with the efficiency score of 0.9992 followed by LI11 with efficiency score of 0.9881. LI24 stands last with the efficiency score of 0.1244 (rank 24). The variables investment and net claims considered in the present study differ significantly at 5% level.
[1] Aigner, D.A., Lovell, A.K., and Schmidt, P, “Formulation and Estimation of Stochastic Frontier Production Models,” Journal of Econometrics, vol.6, pp. 21-37, 1977.
[2] Barros, C. P, “Efficiency measurement of English Football Premier League with A Random frontier model,” Journal of Sport Economics, vol.4, pp.1-10, 2007.
[3] Barrow, M. M, “Measuring Local Education Authority Performance: A Frointer Approach,” Economics of Education Review, vol. 10, pp.19-17, 1991.
[4] Battese, G. E., and Coelli, T. J, “Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India,” Journal of Productivity Analysis, vol. 3, pp.153–169, 1992.
[5] Cummis, J. D and Weiss, M. A, “Analyzing Firm Performance in the Insurance Industry Using Frontier Efficiency Methods,” Working paper series, The Wharton School, University of Pennsylvania, 1998.
[6] Frohloff, A, “Cost and Technical Efficiency of German Hospitals - A Stochastic Frontier Analysis,” Ruhr Economic Paper 2, Department of Economics, Ruhr University Bochum (RUB), Germany. pp. 1-25, 2007.
[7] Jacobs, R, “Alternative methods to examine hospital efficiency: Data Envelopment Analysis and Stochastic Frontier Analysis,” Discussion paper 177, Center for health Economics, The University of York, pp. 1-25, 2000.
[8] Jara, M., Paolini, D and Tena, J. D, “Management efficiency in football: An empirical analysis of two extreme cases,” Discussion paper, Center for Operations research and Econometrics, Belgium, pp.1-35, 2012.
[9] Kalirajan, K. P. and R. T. Shand, “Frontier Production Functions and Technical Efficiency Measurement,” Journal of Economic Surveys, vol. 13 (2), pp. 24 – 34, 1999.
[10] Kern, M and Sussmuth, B, “Managerial Efficiency in German Top League Soccer- A Stochastic Frontier Analysis of club performance on and off pitch,” 2003. Available at: SSRN-id380301.
R. Chandrasekaran , R. Madhanagopal , K. Karthick, "A Stochastic Frontier Model on Investigating Efficiency of Life Insurance Companies in India," International Journal of Mathematics Trends and Technology (IJMTT), vol. 4, no. 10, pp. 207-215, 2013. Crossref, https://doi.org/10.14445/22315373/IJMTT-V4I10P3
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