Testing Hypotheses in Nonparametric Models of Production

By Alois Kneip, Léopold Simar, Paul Wilson. 2016

128 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/10b99366ff6072f637a38b58242572177809f781

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): “The bias 9 Kneip et al. (2016) proposed splitting the sample unevenly to account for the difference in the convergence rates between the (unconditional) DEA and FDH estimators used in their convexity test, giving more observations to the subsample used to compute FDH estimates than to the subsample…”