Efficiency and Profitability in Thailand’s Life Insurance Industry: A Cost Frontier Function and Hausman test, 1997-2002
Liberalized environments brought about by trade agreements and other restructuring of international markets under the General Agreement on Trade and Services (GATS) have increased market opportunities for foreign firms. This opening up of domestic market under GATS will cause the inflow of foreign insurance firm hence heighten competitive pressures. As such, insurance firm in Thailand need to be efficient to ensure their survival. Hence, the purpose of this paper is to evaluate the cost efficiency and its relationship with profitability in Thailand’s life insurance firms during the period 1997-2002 using the stochastic cost frontier approach. We find that the industry is on average 82 to 140 percent inefficient. There is no significant relationship between inefficiency and age. But, the mean inefficiency is positively correlated with size suggesting the need for rationalization in the insurance industry in Thailand. Consolidating the large number of smaller insurers should be high on the government’s agenda, and the capital requirements for life insurers need to be increase. We show that inefficiency is negatively correlated with ROE and ROA ratios. This shows that efficient firms, on average, have higher return on equity and on assets. This indicates that inefficiency has substantial effect on the profitability of life insurance companies.
Volume (Year): 2 (2005)
Issue (Month): 4 ()
|Contact details of provider:|| Web page: http://www.usc.es/economet/eaa.htm|
|Order Information:|| Web: http://www.usc.es/economet/info.htm Email: |
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Cummins, J. David & Tennyson, Sharon & Weiss, Mary A., 1999.
"Consolidation and efficiency in the US life insurance industry,"
Journal of Banking & Finance,
Elsevier, vol. 23(2-4), pages 325-357, February.
- J. David Cummins & Sharon Tennyson & Mary A. Weiss, 1998. "Consolidation and Efficiency in the U.S. Life Insurance Industry," Center for Financial Institutions Working Papers 98-08, Wharton School Center for Financial Institutions, University of Pennsylvania.
- J. David Cummins & Sharon Tennyson & Mary A. Weiss, 1998. "Consolidation and efficiency in the U.S. life insurance industry," Working Papers 98-18, Federal Reserve Bank of Philadelphia.
- Jovanovic, Boyan, 1982. "Selection and the Evolution of Industry," Econometrica, Econometric Society, vol. 50(3), pages 649-70, May.
- J. David Cummins & Hongmin Zi, 1997. "Comparison of Frontier Efficiency Methods: An Application to the U.S. Life Insurance Industry," Center for Financial Institutions Working Papers 97-03, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
- Allen N. Berger & David B. Humphrey, 1997.
"Efficiency of Financial Institutions: International Survey and Directions for Future Research,"
Center for Financial Institutions Working Papers
97-05, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
- Allen N. Berger & David B. Humphrey, 1997. "Efficiency of financial institutions: international survey and directions for future research," Finance and Economics Discussion Series 1997-11, Board of Governors of the Federal Reserve System (U.S.).
- 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.
When requesting a correction, please mention this item's handle: RePEc:eaa:ijaeqs:v:2:y2005:i:4_2. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (M. Carmen Guisan)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.