The objective of this paper is to discuss the use of modern frontier efficiency analysis to analyze firm performance in the insurance industry. The objective is to provide the foundations for insurance economists to use in adapting their research to incorporate the frontier efficiency approach....

We estimate a stochastic frontier model with random inefficiency parameters, which allows us not only to identify the role of bank risk-taking on driving cost and profit inefficiency, but also to recognize heterogeneous effects of risk exposure on banks with different characteristics. We account...

The objective of this paper is to analyse the efficiency of the Italian Banking System over the period 2006-2011. The Stochastic Frontier Approach (SFA) is applied to a panel of 700 Italian Banks. The analysis is based on the joint estimation of a cost function and an efficiency equation...

We analyze the profit efficiency of the Colombian banking industry during the period 2001 - 2013. Unlike previous studies, we estimate revenue and cost efficiency separately and then compute profit efficiency as a composite measure of both cost and revenue efficiency. This approach overcomes the...

Banking industry dominates the financial sector of Bangladesh with an approximate share of 74% of the total intermediation. In recent years, this industry is at high risk due to supervision gaps, overcapacity and market distortions. Therefore, measuring the efficiency of the banking industry is...

This paper presents new evidence regarding the relation between profit, revenue, and cost efficiencies of U.S. commercial banks. Building on the widely used nonstandard profit function (NSPF) approach, we show (i) why estimation of NSPF would be wrong and (ii) how revenue and cost efficiencies...

This study employs data on small businesses from the Office of Advocacy for the U.S. Small Business Administration along with the FDIC Call Report data for U.S. commercial banks. We examine the efficiency of the impact of the financial inputs on small business entrepreneurial output. Our study...

This paper introduces a new parametric measure of productivity change using the hyperbolic distance function. More specifically, the paper first estimates a stochastic translog hyperbolic distance function, which satisfies regularity conditions, using the Bayesian approach. Then it derives an...

This paper investigates the size-efficiency relation of European cooperative banks during the 2006-2015 period. We employ the Stochastic Frontier Analysis in order to obtain inefficiency estimates and its determinants on the set of 183 cooperative banks from 12 European countries. This work...

This paper considers a linear panel data model with time varying heterogeneity. Bayesian inference techniques organized around Markov chain Monte Carlo (MCMC) are applied to implement new estimators that combine smoothness priors on unobserved heterogeneity and priors on the factor structure of...