WHEN BIAS KILLS THE VARIANCE: CENTRAL LIMIT THEOREMS FOR DEA AND FDH EFFICIENCY SCORES

By Alois Kneip, Léopold Simar, Paul Wilson. Econometric Theory, 2014

104 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/dcfec91d7b89b89934f576a8ed9870f52b8db767

Citations in the corpus

• Central limit theorems for conditional efficiency measures and tests of the ‘separability’ condition in non‐parametric, two‐stage models of production (2018, unknown): “10 Theorem 2.2 of Li et al. (2013) establishes asymptotic equivalence of our data-driven bandwidths selected by crossvalidation and the optimal, non-stochastic bandwidths.”