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Stochastic Frontier meets Breakdown Frontier

Santiago Acerenza, Francisco Rosas

arXiv 28 Apr 2026 · Econometrics

arXiv:2604.26088 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This paper studies sensitivity analysis of Stochastic Frontier Models. We elaborate relaxations of the baseline assumptions in the Stochastic Frontier Models and characterize the identified set under this relaxations. Furthermore, we derive the breakdown frontier for a relevant parameter of interest, the average inefficiency of a production unit. We show an application of the procedures on a well known dataset, and make the code available for the interested practitioner.

Citation extraction

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appendix boundary found by appendix_command · 53% of the source is main text. Read the extracted text to check this.

Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Aigner, Dennis and Lovell, CA Knox and Schmidt, Peter (1977) Formulation and estimation of stochastic frontier production function models0.87452100%
2Masten, Matthew A and Poirier, Alexandre (2020) Inference on breakdown frontiers0.87452100%
3Bontemps, Christian and Kumar, Rohit and Lesellier, Max (2024) Smoothed inference for Moment Inequality models0.7374275%
4Colombi, Roberto and Kumbhakar, Subal C and Martini, Gianmaria and V… (2014) Closed-skew normality in stochastic frontiers with individual effects and long/short-run efficiency0.64422100%
5Kumbhakar, Subal C and Lien, Gudbrand and Hardaker, J Brian (2014) Technical efficiency in competing panel data models: a study of Norwegian grain farming0.64422100%
6Nguyen, Bao Hoang and Sickles, Robin C and Zelenyuk, Valentin (2022) Efficiency analysis with stochastic frontier models using popular statistical softwares0.64422100%
7Fang, Zheng and Santos, Andres (2019) Inference on directionally differentiable functions0.51121100%
8Meeusen, Wim and van Den Broeck, Julien (1977) Efficiency estimation from Cobb-Douglas production functions with composed error0.51121100%
Aguirre2024aunmatched citation key Aguirre2024a0.40511100%
Aguirre2024bunmatched citation key Aguirre2024b0.40511100%

Showing the top 10 of 50 scored citations. 2 of these could not be matched to a bibliography entry, so only the citation key is shown.