IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Technical, allocative and cost efficiency in the Australian general insurance industry

  • Andrew C. Worthington
  • Emily V. Hurley

Data envelopment analysis is used to calculate technical, allocative and cost efficiency indices for a sample of fifty-three Australian general insurers. The inputs used are labour, physical capital (in the form of both information technology and plant and equipment) and financial capital. The outputs are net premium revenues for housing-related insurance, transport-related insurance, indemnity-related insurance and other insurance, along with investment revenue. The results indicate that the major source of overall cost inefficiency would appear to be allocative inefficiency, rather than technical inefficiency, and that the largest twenty percent of insurers are significantly more efficient than the remaining firms. A second-stage analysis uses limited dependent variable regression techniques to relate efficiency scores to financial and non-financial information. Cost efficiency appears to be closely related to asset size, the proportion of non-premium income, and participation in compulsory third party (CTP) markets, but not to stock exchange listing or product range.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://external-apps.qut.edu.au/business/documents/discussionPapers/2000/Worthington_Hurley_74.pdf
Download Restriction: no

Paper provided by School of Economics and Finance, Queensland University of Technology in its series School of Economics and Finance Discussion Papers and Working Papers Series with number 074.

as
in new window

Length:
Date of creation: 20 Feb 2000
Date of revision:
Handle: RePEc:qut:dpaper:074
Contact details of provider: Postal: GPO Box 2434, BRISBANE QLD 4001
Web page: http://www.bus.qut.edu.au/faculty/economics/
Email:


More information through EDIRC

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.:

as in new window
  1. Cummins, J. David & Weiss, Mary A., 1993. "Measuring cost efficiency in the property-liability insurance industry," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 463-481, April.
  2. Jeffrey I. Bernstein, 1992. "Information Spillovers, Margins, Scale and Scope: With an Application to Canadian Life Insurance," NBER Working Papers 3979, National Bureau of Economic Research, Inc.
  3. 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.
  4. Seiford, Lawrence M. & Thrall, Robert M., 1990. "Recent developments in DEA : The mathematical programming approach to frontier analysis," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 7-38.
  5. 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.
  6. Gardner, Lisa A. & Grace, Martin F., 1993. "X-Efficiency in the US life insurance industry," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 497-510, April.
  7. Luigi Prosperetti, 1991. "Economies of Scale in Italian Non-Life Insurance*," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan, vol. 16(3), pages 282-292, July.
  8. Fukuyama, Hirofumi, 1997. "Investigating productive efficiency and productivity changes of Japanese life insurance companies," Pacific-Basin Finance Journal, Elsevier, vol. 5(4), pages 481-509, September.
  9. J. Cummins & Hongmin Zi, 1998. "Comparison of Frontier Efficiency Methods: An Application to the U.S. Life Insurance Industry," Journal of Productivity Analysis, Springer, vol. 10(2), pages 131-152, October.
  10. Yuengert, Andrew M., 1993. "The measurement of efficiency in life insurance: Estimates of a mixed normal-gamma error model," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 483-496, April.
  11. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
  12. J. David Cummins & Jack VanDerhei, 1979. "A Note on the Relative Efficiency of Property-Liability Insurance Distribution Systems," Bell Journal of Economics, The RAND Corporation, vol. 10(2), pages 709-719, Autumn.
  13. Andrew M. Yuengert, 1993. "The measurement of efficiency in life insurance estimates of a mixed normal-gamma error model," Research Paper 9308, Federal Reserve Bank of New York.
  14. Philip Hardwick, 1997. "Measuring cost inefficiency in the UK life insurance industry," Applied Financial Economics, Taylor & Francis Journals, vol. 7(1), pages 37-44.
  15. Forsund, Finn R. & Lovell, C. A. Knox & Schmidt, Peter, 1980. "A survey of frontier production functions and of their relationship to efficiency measurement," Journal of Econometrics, Elsevier, vol. 13(1), pages 5-25, May.
  16. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:qut:dpaper:074. 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: (Angela Fletcher)

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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.