This paper describes a non-parametric, unconditional, hyperbolic quantile estimator that unlike traditional non-parametric frontier estimators is both robust to data outliers and has a root-n convergence rate. We use this estimator to examine changes in the efficiency and productivity of U.S....

This paper presents a stochastic frontier model with random inefficiency parameters which captures the influence of risk-taking on bank efficiency and distinguishes the effects among banks with different characteristics. The model is fitted to a 10-year sample of Colombian banks. Cost and profit...

This paper shows evidence on the influence of risk-taking on bank efficiency in emerging markets and identifies heterogeneity in the way risk affects banks with different characteristics. We fit a stochastic frontier model with random inefficiency parameters to a sample of Colombian banks. The...

Using Bayesian Monte Carlo methods, we augment a stochastic distance function measure of bank efficiency and productivity growth with indicators of capitalization, return and risk. Our novel Multiple Indicator-Multiple Cause (MIMIC) style model generates more precise estimates of policy relevant...

This study attempts to explain the cost efficiency and its determinant for an unbalanced penal set of 15-25 commercial banks of Nepal for 9 years period (2001-2009) by using semi-parametric methodology. At first stage, efficiency and growth of productivity are estimated by using Data Envelopment...

This paper (i) derives a number of properties of a newly specified multi-input-single-output (MISO) production function with a derived error term, and (ii) using iteratively rescaled generalized least squares, presents estimates of the cross-sectionally varying coefficients of a...