Articles with public access mandates - Paul W. WilsonLearn more
Available somewhere: 11
Central limit theorems for conditional efficiency measures and tests of the ‘separability’condition in non‐parametric, two‐stage models of production
C Daraio, L Simar, PW Wilson
The Econometrics Journal 21 (2), 170-191, 2018
Mandates: US National Science Foundation, Belgian Science Policy Office
Testing hypotheses in nonparametric models of production
A Kneip, L Simar, PW Wilson
Journal of Business & Economic Statistics 34 (3), 435-456, 2016
Mandates: US National Science Foundation
Fast and efficient computation of directional distance estimators
C Daraio, L Simar, PW Wilson
Annals of Operations Research 288 (2), 805-835, 2020
Mandates: Government of Italy
Measuring firm performance using nonparametric quantile-type distances
A Daouia, L Simar, PW Wilson
Econometric Reviews 36 (1-3), 156-181, 2017
Mandates: US National Science Foundation
Quality as a latent heterogeneity factor in the efficiency of universities
C Daraio, L Simar, PW Wilson
Economic Modelling 99, 105485, 2021
Mandates: European Commission, Government of Italy
Benchmarking the performance of US Municipalities
CT O’Loughlin, PW Wilson
Empirical economics 60, 2665-2700, 2021
Mandates: US National Science Foundation
Clustered latent Dirichlet allocation for scientific discovery
C Gropp, A Herzog, I Safro, PW Wilson, AW Apon
2019 IEEE International Conference on Big Data (Big Data), 4503-4511, 2019
Mandates: US National Science Foundation, US Department of Education
Quality and its impact on efficiency
C Daraio, L Simar, PW Wilson
LEM Working Paper Series, 2019
Mandates: European Commission, Government of Italy
Modern Tools for Evaluating the Performance of Health-Care Providers
L Simar, P Wilson
LIDAM Discussion Papers ISBA, 2022
Mandates: US National Science Foundation
Nonparametric, Stochastic Frontier Models with Multiple Inputs and Outputs: Supplementary Material
L Simar, PW Wilson
Mandates: US National Science Foundation
Nonparametric Estimation of Efficiency in the Presence of Environmental Variables: Appendices D–E
C Daraio, L Simar, PW Wilson
Mandates: US National Science Foundation
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