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A Comparison of DEA and SFA Approaches: Application to the US Non-Life Insurance Market

Author

Listed:
  • Suarez-Fernandez, Sara

    (Faculty of Economics and Business, University of Oviedo, Spain)

  • Quiroga-Garcia, Raquel

    (Faculty of Economics and Business, University of Oviedo, Spain)

  • Manzano-Perez, Isabel

    (Faculty of Economics and Business, University of Oviedo, Spain)

Abstract

Analyzing the efficiency of markets is essential for both business managers and policymakers. On the one hand, private companies need to be as efficient as possible, given that their competitiveness and their chance of survival depend on it. On the other hand, public enterprises declare to be committed to using public funds in the best possible way. To be competitive, firms need to improve their performance by incorporating the benchmark practices of their field in their management and studying efficiency levels may help identify potential areas for development. However, does the efficiency score depend on the method chosen to calculate it? In this paper, our aim is to compare the rate of agreement between two different approaches to measure efficiency, the parametric and the non-parametric. For the parametric procedure, we use stochastic frontier analysis (SFA), while in the case of the non-parametric, we use data envelopment analysis (DEA) and the dynamic approach of the DEA, the window DEA. To do so, we analyze 923 non-life (property/casualty) US insurance companies in the period 2007–2011. According to our results, comparable efficiency scores are found using SFA and DEA methodologies. More importantly, the two approaches rank companies in a similar order, mostly agreeing on which are the most and the least efficient firms. Therefore, we support that the approaches can be used complementarily.

Suggested Citation

  • Suarez-Fernandez, Sara & Quiroga-Garcia, Raquel & Manzano-Perez, Isabel, 2021. "A Comparison of DEA and SFA Approaches: Application to the US Non-Life Insurance Market," Asian Journal of Applied Economics/ Applied Economics Journal, Kasetsart University, Faculty of Economics, Center for Applied Economic Research, vol. 28(2), pages 107-127, December.
    • Handle: RePEc:ris:apecjn:0062
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    1. Cummins, J. David & Xie, Xiaoying, 2008. "Mergers and acquisitions in the US property-liability insurance industry: Productivity and efficiency effects," Journal of Banking & Finance, Elsevier, vol. 32(1), pages 30-55, January.
    2. Eling, Martin & Luhnen, Michael, 2010. "Efficiency in the international insurance industry: A cross-country comparison," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1497-1509, July.
    3. Dong, Yizhe & Hamilton, Robert & Tippett, Mark, 2014. "Cost efficiency of the Chinese banking sector: A comparison of stochastic frontier analysis and data envelopment analysis," Economic Modelling, Elsevier, vol. 36(C), pages 298-308.
    4. J. Cummins & Xiaoying Xie, 2013. "Efficiency, productivity, and scale economies in the U.S. property-liability insurance industry," Journal of Productivity Analysis, Springer, vol. 39(2), pages 141-164, April.
    5. Halkos, George Emm. & Tzeremes, Nickolaos G., 2009. "Exploring the existence of Kuznets curve in countries' environmental efficiency using DEA window analysis," Ecological Economics, Elsevier, vol. 68(7), pages 2168-2176, May.
    6. Karl C. Ennsfellner & Danielle Lewis & Randy I. Anderson, 2004. "Production Efficiency in the Austrian Insurance Industry: A Bayesian Examination," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 71(1), pages 135-159, March.
    7. Mette Asmild & Joseph Paradi & Vanita Aggarwall & Claire Schaffnit, 2004. "Combining DEA Window Analysis with the Malmquist Index Approach in a Study of the Canadian Banking Industry," Journal of Productivity Analysis, Springer, vol. 21(1), pages 67-89, January.
    8. 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.
    9. repec:diw:diwwpp:dp644 is not listed on IDEAS
    10. Oleg Badunenko & Bogdana Grechanyuk & Oleksandr Talavera, 2009. "Development Under Regulation: The Way of the Ukrainian Insurance Market," The IUP Journal of Managerial Economics, IUP Publications, vol. 0(3-4), pages 65-79, August-No.
    11. De Borger, Bruno & Kerstens, Kristiaan, 1996. "Cost efficiency of Belgian local governments: A comparative analysis of FDH, DEA, and econometric approaches," Regional Science and Urban Economics, Elsevier, vol. 26(2), pages 145-170, April.
    12. Saowaros Yaisawarng & Preecha Asavadachanukorn & Suthathip Yaisawarng, 2014. "Efficiency and productivity in the Thai non-life insurance industry," Journal of Productivity Analysis, Springer, vol. 41(2), pages 291-306, April.
    13. Abdul Latif Alhassan & Nicholas Biekpe, 2016. "Competition and efficiency in the non-life insurance market in South Africa," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 43(6), pages 882-909, November.
    14. Snežana Knežević & Milanka Marković & Andrijana Brown, 2015. "Measuring the efficiency of Serbian insurance companies," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 65(1), pages 91-105, March.
    15. 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.
    16. Jarraya, Bilel & Bouri, Abdelfettah, 2012. "Efficiency concept and investigations in insurance industry: A survey," MPRA Paper 53544, University Library of Munich, Germany, revised 2013.
    17. Patrick L. Brockett & William W. Cooper & Linda L. Golden & John J. Rousseau & Yuying Wang, 2005. "Financial Intermediary Versus Production Approach to Efficiency of Marketing Distribution Systems and Organizational Structure of Insurance Companies," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 72(3), pages 393-412, September.
    18. Eling, Martin & Jia, Ruo, 2019. "Efficiency and profitability in the global insurance industry," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    19. Cullinane Kevin & Song Dong-Wook & Ji Ping & Wang Teng-Fei, 2004. "An Application of DEA Windows Analysis to Container Port Production Efficiency," Review of Network Economics, De Gruyter, vol. 3(2), pages 1-23, June.
    20. 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.
    21. J. Cummins & Gregory Nini, 2002. "Optimal Capital Utilization by Financial Firms: Evidence from the Property-Liability Insurance Industry," Journal of Financial Services Research, Springer;Western Finance Association, vol. 21(1), pages 15-53, February.
    22. Kaffash, Sepideh & Azizi, Roza & Huang, Ying & Zhu, Joe, 2020. "A survey of data envelopment analysis applications in the insurance industry 1993–2018," European Journal of Operational Research, Elsevier, vol. 284(3), pages 801-813.
    23. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
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    More about this item

    Keywords

    DEA; Window DEA; SFA; insurance market; efficiency;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

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