This paper explores a selection of recently proposed bootstrapping techniques to estimate non-parametric convex (DEA) cost frontiers and efficiency scores for transit firms. Using a sample of Norwegian bus operators, the key results can be summarised as follows: (i) the bias implied by...

This note proposes a new decomposition of the Malmquist productivity index to account for changes in plant capacity utilisation. Using a primal, non-parametric specification of technology, the Malmquist index is decomposed into technical efficiency change, variations in plant capacity...

This article provides a comprehensive survey of the literature on production and cost frontiers for public transit operators, and it evaluates the contributions of frontier analysis to our understanding of the performance of the public transport sector. We first succinctly contrast best practice...

The purpose of this paper is to investigate the sensitivity of a recently proposed non-parametric approach to technical efficiency measurement. Using a data set of Belgian municipalities, we analyze the sensitivity of the Free Disposal Hull (FDH) approach with respect to the number of input and...

Using data from the longitudinal Labor Market Monitor for the New German States we provide a portrait of East-West commuters in the first year after unification and evaluate various hypotheses to explain the phenomenon. Commuters may be driven by the search for higher wages in the west or by...

We study the welfare effects of combining the European Commission's proposal for VAT harmonization with different degrees of weakening of the 'quotient familial' , a feature of the French system of direct taxation which can be interpreted as aiming at taxing 'equivalised' household income. We...

This survey aims at providing the reader with a thread through the literature on the topic of panel econometrics of labour supply, reporting also on the evaluation of the data used in these studies, and summarizing their substantive results. It documents the present trend away from models that...