Stochastic Frontier meets Breakdown Frontier

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Acerenza, Santiago, Rosas, Francisco
Format: Preprint
Published: 2026
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866918472844312576
author Acerenza, Santiago
Rosas, Francisco
author_facet Acerenza, Santiago
Rosas, Francisco
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2604_26088
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Stochastic Frontier meets Breakdown Frontier
Acerenza, Santiago
Rosas, Francisco
Econometrics
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.
title Stochastic Frontier meets Breakdown Frontier
topic Econometrics
url https://arxiv.org/abs/2604.26088