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Estimation of the two-tiered stochastic frontier model with the scaling property

Parmeter, Christopher F. - In: Journal of productivity analysis 49 (2018) 1, pp. 37-47

Persistent link: https://www.econbiz.de/10012005034

Modeling dependence in two-tier stochastic frontier models

Papadopoulos, Alecos; Parmeter, Christopher F.; … - In: Journal of productivity analysis : an official journal … 56 (2021) 2/3, pp. 85-101

Persistent link: https://www.econbiz.de/10012656569

Density deconvolution with Laplace errors and unknown variance

Cai, Jun; Horrace, William C.; Parmeter, Christopher F. - In: Journal of productivity analysis : an official journal … 56 (2021) 2/3, pp. 103-113

Persistent link: https://www.econbiz.de/10012656574

Applications of efficiency and productivity analysis : editors' introduction

Kumbhakar, Subal; Malikov, Emir; Parmeter, Christopher F. - In: Empirical economics : a quarterly journal of the … 60 (2021) 6, pp. 2657-2663

Persistent link: https://www.econbiz.de/10012585631

Quantile estimation of stochastic frontiers with the normal-exponential specification

Jradi, Samah; Parmeter, Christopher F.; Ruggiero, John - In: European journal of operational research : EJOR 295 (2021) 2, pp. 475-483

Persistent link: https://www.econbiz.de/10013205961

Model averaging estimators for the stochastic frontier model

Parmeter, Christopher F.; Wan, Alan T. K.; Zhang, Xinyu - In: Journal of productivity analysis 51 (2019) 2/3, pp. 91-103

Persistent link: https://www.econbiz.de/10012305597

Pseudolikelihood estimation of the stochastic frontier model

Andor, Mark Andreas; Parmeter, Christopher F. - 2017

Stochastic frontier analysis is a popular tool to assess firm performance. Almost universally it has been applied using maximum likelihood estimation. An alternative approach, pseudolikelihood estimation, decouples estimation of the error component structure and the production frontier, has been...

Persistent link: https://www.econbiz.de/10011648660

Combining uncertainty with uncertainty to get certainty? : efficiency analysis for regulation purposes

Andor, Mark Andreas; Parmeter, Christopher F.; Sommer, … - In: European journal of operational research : EJOR 274 (2019) 1, pp. 240-252

Persistent link: https://www.econbiz.de/10011990058

A Laplace stochastic frontier model

Horrace, William C.; Parmeter, Christopher F. - In: Econometric reviews 37 (2018) 1/5, pp. 260-280

Persistent link: https://www.econbiz.de/10012038621

Pseudolikelihood estimation of the stochastic frontier model

Andor, Mark Andreas; Parmeter, Christopher F. - In: Applied economics 49 (2017) 55, pp. 5651-5661

Persistent link: https://www.econbiz.de/10011845285