Stochastic Frontier Analysis: Foundations and Advances I

Subal C. Kumbhakar; Christopher F. Parmeter; Valentin Zelenyuk

doi:10.1007/978-981-10-3455-8_9

Stochastic Frontier Analysis: Foundations and Advances I

Subal C. Kumbhakar
, Christopher F. Parmeter
, Valentin Zelenyuk

Economics

Binghamton University

University of Miami
University of Queensland

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

33 Scopus citations

Abstract

This chapter (as well as Chap. 11) reviews some of the most important developments in the econometric estimation of productivity and efficiency surrounding the stochastic frontier model.

Original language	English
Title of host publication	Handbook of Production Economics
Publisher	Springer Singapore
Pages	331-370
Number of pages	40
ISBN (Electronic)	9789811034558
ISBN (Print)	9789811034541
DOIs	https://doi.org/10.1007/978-981-10-3455-8_9
State	Published - Jan 1 2022

Keywords

Determinants of inefficiency
Efficiency
Endogeneity
Identification
Nonparametric
Panel data
Productivity
Quantile

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10.1007/978-981-10-3455-8_9

Cite this

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KW - Endogeneity

KW - Identification

KW - Nonparametric

KW - Panel data

KW - Productivity

KW - Quantile

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Stochastic Frontier Analysis: Foundations and Advances I

Abstract

Keywords

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