When benchmarking production units by non-parametric methods like data envelopment analysis (DEA), an assumption has to be made about the returns to scale of the underlying technology. Moreover, it is often also relevant to compare the frontiers across samples of producers. Until now, no exact...

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...

Based on the seminal paper of Farrell (1957), researchers have developed several methods for measuring e fficiency. Nowadays, the most prominent representatives are nonparametric data envelopment analysis (DEA) and parametric stochastic frontier analysis (SFA), both introduced in the late 1970s....

Background: This study aims at analyzing the efficiency of the health systems of 31 European countries in treating COVID-19, for the period January 1, 2020 - January 1, 2021, by incorporating some factors from a multidimensional perspective. Methods: The methodology used in the research was Data...

We investigate the effect on municipality spending efficiency of a local property tax reform, which reduced in 2008 the upper limit of the property tax. We compute municipality efficiency scores via data Envelopment Analysis (DEA) from 2005 to 2011, and then we rely in a panel data set to...

This paper investigates the efficiency of European universities in achieving Sustainable Development Goals (SDGs). We make use of newly published University Impact Rankings that account for SDGs, whereby institutions that achieved high scores are those that are, in addition to scientific...

Due to the advancing economisation and the associated discussion on the distribution of public budgets and tax revenues, the efficiency of higher education institutions is increasingly coming into focus. Since the 2000s, more and more studies on the efficiency of German universities have been...

The purpose of this study is to examine the efficiency of the banks in Lithuania by employing the DEA method and evaluate bank performance in a low interest rate environment. The efficiency scores were calculated with a non-parametric frontier input-oriented DEA technique with the variable...

A rich literature on the analysis of efficiency in production has developed since pioneering work of Tjalling Koopmans and George Debreu in the 1950s. This literature includes work by researchers in economics, econometrics, management science, operations research, mathematical statistics and...

Bootstrapping non-parametric models is a fairly complicated exercise which is associated with implicit assumptions or requirements that are not always obvious to the non-expert user. Bootstrap DEA is a significant development of the past decade; however, some of its assumptions and properties are...