Why fully efficient banks matter? A nonparametric stochastic frontier approach in the presence of fully efficient banks

Kien Tran, Mike Tsionas and Emmanuel Mamatzakis

Empirical Economics, 2020, vol. 58, issue 6, No 6, 2733-2760

Abstract: Abstract A common assumption in the banking stochastic performance literature refers to the non-existence of fully efficient banks. This paper relaxes this strong assumption and proposes an alternative semiparametric zero-inefficiency stochastic frontier model. Specifically, we consider a nonparametric specification of the frontier whilst maintaining the parametric specification of the probability of fully efficient bank. We propose an iterative local maximum likelihood procedure that achieves the optimal convergence rates of both nonparametric frontier and the parameters contained in the probability of fully efficient bank. In an empirical application, we apply the proposed model and the estimation procedure to a global banking data set to derive new corrected measures of bank performance and productivity growth across the world. The results show that there is variability across regions, and the probability of fully efficient bank is mostly affected by bank-specific variables that are related to bank’s risk-taking attitude, whereas country-specific variables, such as inflation, also have an effect.

Keywords: Backfitting local maximum likelihood; Mixture models; Probability of fully efficient banks; Global banking (search for similar items in EconPapers)
JEL-codes: C13 C14 G20 G21 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s00181-018-01618-9

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