Joint estimation of the Lerner index and cost efficiency using copula methods
Tai-Hsin Huang (),
Nan-Hung Liu () and
Subal Kumbhakar
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Tai-Hsin Huang: National Chengchi University
Nan-Hung Liu: National Chengchi University
Empirical Economics, 2018, vol. 54, issue 2, No 18, 799-822
Abstract:
Abstract This paper deals with the estimation of market power, measured by the Lerner index, and cost efficiency at the bank level, using the stochastic frontier (SF) methodology. Both market power and cost efficiency are estimated jointly in a single step. We use the copula method to incorporate dependence between market power and cost efficiency. In contrast to earlier works that used a two-step approach, the SF approach used herein estimates a bank-specific nonnegative Lerner index free from random shocks. We showcase the advantages of our proposed methodology in terms of an empirical study on the banking sectors of five former communist countries during the period 2000–2008. Compared to the conventional approach, our model gives higher mean values of the Lerner index and smaller standard deviations. Further, we find a significant positive relationship between cost efficiency and market power of banks, thereby rejecting the “quiet life hypothesis.”
Keywords: Copula methods; Cost efficiency; Lerner index; Market power; Quiet life hypothesis (search for similar items in EconPapers)
JEL-codes: C31 C51 G21 L11 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (9)
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DOI: 10.1007/s00181-016-1216-z
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