The Indian judicial system is extensive and plagued by several issues, especially high pendency levels across all levels. The present work has two goals. Firstly, it aims to measure the efficiency of Indian high courts using Data Envelopment Analysis (DEA). Secondly, it studies the impact of...

Agricultural inputs are peculiar in nature as an asymmetry in their roles can be identified during the production process. These inputs can be grouped into a set of growth inputs or a set of facilitating inputs. The inputs affecting biological or physiological growth from the inside of the plant...

This paper explores the link between the presence of unions in the workplace, the adoption of decentralized labor agreements and technical efficiency, using a large sample of Italian manufacturing firms. We apply the Data Envelopment Analysis, and its robust version based on bootstrap theory, to...

: The important role of the banking sector in the economic development of the country imposes the need for continuous measurement and monitoring of bank efficiency. Besides, identifying industry-specific and macroeconomic factors that affect the achieved efficiency is an important task in order...

Simar and Wilson (J. Econometrics, 2007) provided a statistical model that can rationalize two-stage estimation of technical efficiency in nonparametric settings. Two-stage estimation has been widely used, but requires a strong assumption: the second-stage environmental variables cannot affect...

Stochastic Non-smooth Envelopment of Data (StoNED) is a semi-parametric and stochastic method of efficiency measurement that combines some of the virtues of the classical counterparts, namely Stochastic Frontier Analysis (SFA) versus Data Envelopment Analysis (DEA). Recently, it has been...