In this study we examine the potential determinants of technical efficiency for the Tunisian commercial banking sector over the period of 1995-2017. First, we estimate banking technical efficiency with a radial and non-radial bootstrap data envelopment analysis. For the radial technique, we use...

This paper considers the maximum likelihood estimation of a stochastic frontier production function with an interval outcome. We derive an analytical formula for calculating the likelihood function of the interval stochastic frontier models. Monte Carlo experiments reveal that the finite sample...

This paper examines inefficiencies of Bangladesh banking industry using the stochastic frontier production function model and the time invariant cross-sectional data. The measure of ith bank technical efficiency indicates that the efficiency of Bangladesh commercial banks lies between 12.7 and...

This paper attempts to identify the effect of fiscal decentralization on public sector efficiency (PSE). We employ data envelopment analysis on a panel of 21 OECD countries over the period 1970-2000 to construct two alternative PSE indicators that reflect the governmental goals of economic...

Parametric production frontier functions are frequently used in stochastic frontier models, but there do not seem to be any empirical test statistics for its plausibility. To bridge the gap in the literature, we develop two test statistics based on local smoothing and an empirical process,...

The banking sector plays a major role in any economy, and it played a critical role in transition of Ukraine from state capitalism to a market economy. In this work, we investigate the hypothesis that, despite the tremendous growth and apparent prosperity that existed before the country was hit...

Modified Value-at-Risk (mVaR) and Modified Expected Shortfall (mES) are risk estimators that can be calculated without modelling the distribution of asset returns. These modified estimators use skewness and kurtosis corrections to normal distribution parametric VaR and ES formulas to reduce bias...