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Some Recent Developments in Efficiency Measurement in Stochastic Frontier Models

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  • Subal C. Kumbhakar
  • Efthymios G. Tsionas

Abstract

This paper addresses some of the recent developments in efficiency measurement using stochastic frontier (SF) models in some selected areas. The following three issues are discussed in details. First, estimation of SF models with input-oriented technical efficiency. Second, estimation of latent class models to address technological heterogeneity as well as heterogeneity in economic behavior. Finally, estimation of SF models using local maximum likelihood method. Estimation of some of these models in the past was considered to be too difficult. We focus on the advances that have been made in recent years to estimate some of these so-called difficult models. We complement these with some developments in other areas as well.

Suggested Citation

  • Subal C. Kumbhakar & Efthymios G. Tsionas, 2011. "Some Recent Developments in Efficiency Measurement in Stochastic Frontier Models," Journal of Probability and Statistics, Hindawi, vol. 2011, pages 1-25, December.
    • Handle: RePEc:hin:jnljps:603512
    DOI: 10.1155/2011/603512
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    Cited by:

    1. Rawat, Pankaj S. & Sharma, Seema, 2021. "TFP growth, technical efficiency and catch-up dynamics: Evidence from Indian manufacturing," Economic Modelling, Elsevier, vol. 103(C).
    2. Habtamu ALEM, 2018. "Effects of model specification, short-run, and long-run inefficiency: an empirical analysis of stochastic frontier models," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(11), pages 508-516.
    3. Mutarindwa, Samuel & Siraj, Ibrahim & Stephan, Andreas, 2021. "Ownership and bank efficiency in Africa: True fixed effects stochastic frontier analysis," Journal of Financial Stability, Elsevier, vol. 54(C).

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