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...

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...

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...

Government regulation plays a significant role in the field of heritage conservation. Namely, regulation is aimed at controlling the stock of heritage, restricting or modifying the activities of public as well as private actors. Surprisingly, the literature has neither extensively investigated...

To create their rankings, university-ranking agencies usually combine multiple performance measures into a composite index. However, both rankings and index scores are sensitive to the weights assigned to performance measures. This paper uses a stochastic dominance efficiency methodology to...

The efficiency of a nation's banking industry is a critical factor in the quest to realize economic growth and prosperity for its citizens. This study identifies a host of macroeconomic factors which have been shown to have a strong causal link with the efficient operation of a given banking...

In designing a production model for firms that generate multiple outputs, we take as a starting point that such multi-output production refers to economies of scope, which in turn originate from joint input use and input externalities. We provide a nonparametric characterization of cost...

Permutation techniques, where one recompute the test statistic over permutations of data, have a long history in statistics and have become increasingly useful as the availability of computational power has increased. Until now, no permutation tests for examining returns to scale assumptions,...

Using the US states plus the District of Columbia, output-oriented innovative efficiency scores are computed using data envelope analysis (DEA) where total patent counts serve as the measure of innovative output and industry and academic research and development expenditures, and numbers of...