Artificial neural networks have offered their share of econometric insights, given their power
to model complex relationships. One area where they have not been readily deployed is the …

We examine technical efficiency of Islamic and conventional banks. We contribute to the
literature by applying a stochastic meta-frontier directional distance function model with …

Recent research has shown that combination approaches, such as taking the maximum or
the mean over different methods of estimating efficiency scores, have practical merits and …

This study examines the effect of Islamic banks' dual board governance mechanisms
(Shariah supervisory board and regular board of directors) on technical efficiency; and …

We propose techniques of classification of a potentially heterogeneous data set into groups
in a way that is consistent with the intended purpose of the clustering, which is Data …

In this paper, based on Jradi and Ruggiero (2019). Stochastic Data Envelopment Analysis: A
Quantile Regression Approach to Estimate the Production Frontier. European Journal of …

We propose a minimax regret empirical prior for inefficiencies in a stochastic frontier model
and for its other parameters. The class of priors over which we consider minimax regret is …

The withdrawal of the United Kingdom (UK) from the European Union (EU) opens an
unprecedented scenario for the UK and EU economy. One of the sensitive points concerns …

Stochastic frontier models along the lines of Aigner et al. are widely used to benchmark
firms' performances in terms of efficiency. The models are typically fully parametric, with …

In this paper we propose a general inefficiency model, in the sense that technical
inefficiency is, simultaneously, a function of all inputs, outputs, and contextual variables. We …