In this paper, we estimate the potential tax burden in a panel data set comprising OECD countries over the period 2000-2021. To this end, we use non-parametric and parametric techniques: Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA). In this way, it will be possible for...

The paper investigates the impact of subsidies and of para-agriculture on the technical efficiency of organic farms in Switzerland, Austria and Southern Germany. The data-set consists of bookkeeping data with 1,704 observations in the years 2003 to 2005. Technical efficiency is modelled using a...

In this paper we compare two flexible estimators of technical efficiency in a cross-sectional setting: the nonparametric kernel SFA estimator of Fan, Li and Weersink (1996) to the nonparametric bias corrected DEA estimator of Kneip, Simar and Wilson (2008). We assess the finite sample...

This chapter conducts a review of the literature dealing with overall public sector performance and efficiency, it defines a methodology to assess public sector efficiency and it creates a novel and large cross-sectional panel dataset of government indicators and public sector efficiency scores....