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A dynamic DEA model for Indian life insurance companies
Efficiency studies relating to the Indian life insurance companies have so far used static one-period data envelopment analysis (DEA) models for the purpose of comparison of performance. A major weakness of the static framework is that the efficiency results are not inter-temporally comparable. In o...
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| Format: | Article |
| Language: | English |
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2015
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| LEADER | 01211nab a22001217a 4500 | ||
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| 008 | 160615b2015 xxu||||| |||| 00| 0 eng d | ||
| 100 | |a Sinha, Ram Pratap | ||
| 245 | |a A dynamic DEA model for Indian life insurance companies |c Sinha, Ram Pratap. | ||
| 260 | |c 2015 | ||
| 300 | |a 258 - 269 | ||
| 520 | |a Efficiency studies relating to the Indian life insurance companies have so far used static one-period data envelopment analysis (DEA) models for the purpose of comparison of performance. A major weakness of the static framework is that the efficiency results are not inter-temporally comparable. In order to overcome this problem, the present study uses a dynamic slacks-based DEA model proposed by Tone and Tsutsui (2010) for performance evaluation of 15 in-sample life insurance companies for a seven-year period (2005-2006 to 2011-2012). The unique selling point (USP) of the present approach is that unlike the conventional static DEA models, the present framework, by using a link variable, connects the observed years and thereby creates a common benchmark. The results reveal significant fluctuations in mean technical efficiency over the period of observation. | ||
| 773 | |a Global Business Review |d Apr | ||
| 999 | |c 43729 |d 43729 | ||