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Using in the latent class approach as a supervised method to cluster firms in DEA: An application to the US electricity transmission industry

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  • Llorca, Manuel
  • Orea, Luis
  • Pollit, Michael G.

Abstract

In this paper we advocate using the so-called latent class model (LCM) approach to control for technological differences in traditional efficiency analysis of regulated electricity networks. Our proposal relies on the fact that latent class models are designed to cluster firms by uncovering differences in technology parameters. Moreover, our approach can be viewed as a supervised method for clustering data as it takes into account the same (production or cost) relationship that is analyzed later, often using non-parametric frontier techniques. The simulation exercises confirm our expectations and show that the proposed approach outperforms other alternative sample selection procedures. The proposed methodology is illustrated with an application to a sample of US electricity transmission firms for the period 2001-2009.

Suggested Citation

  • Llorca, Manuel & Orea, Luis & Pollit, Michael G., 2013. "Using in the latent class approach as a supervised method to cluster firms in DEA: An application to the US electricity transmission industry," Efficiency Series Papers 2013/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    • Handle: RePEc:oeg:wpaper:2013/03
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    References listed on IDEAS

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    1. Per J. Agrell & Mehdi Farsi & Massimo Filippini & Martin Koller, 2013. "Unobserved heterogeneous effects in the cost efficiency analysis of electricity distribution systems," CER-ETH Economics working paper series 13/171, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    2. Haney, Aoife Brophy & Pollitt, Michael G., 2009. "Efficiency analysis of energy networks: An international survey of regulators," Energy Policy, Elsevier, vol. 37(12), pages 5814-5830, December.
    3. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2016. "Efficiency and environmental factors in the US electricity transmission industry," Energy Economics, Elsevier, vol. 55(C), pages 234-246.
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    5. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    6. Dismukes, David E. & Cope III, Robert F. & Mesyanzhinov, Dmitry, 1998. "Capacity and economies of scale in electric power transmission," Utilities Policy, Elsevier, vol. 7(3), pages 155-162, November.
    7. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
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    9. Haney, A.B. & Pollitt, M.G., 2012. "International benchmarking of Electricity Transmission by Regulators: Theory and Practice," Cambridge Working Papers in Economics 1254, Faculty of Economics, University of Cambridge.
    10. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
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    More about this item

    Keywords

    electricity transmission; utilities regulation; latent class approach; non-parametric analysis;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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