Stochastic Frontier Analysis: Foundations and Advances I

Subal Kumbhakar, Christopher Parmeter and Valentin Zelenyuk

Chapter 8 in Handbook of Production Economics, 2022, pp 331-370 from Springer

Abstract: 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.

Keywords: Efficiency; Productivity; Panel data; Endogeneity; Nonparametric; Determinants of inefficiency; Quantile; Identification (search for similar items in EconPapers)
JEL-codes: C10 C13 C14 C50 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (6)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Chapter: Stochastic Frontier Analysis: Foundations and Advances II (2022)
Working Paper: Stochastic Frontier Analysis: Foundations and Advances (2018)
Working Paper: Stochastic Frontier Analysis: Foundations and Advances (2017)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-10-3455-8_9

Ordering information: This item can be ordered from
http://www.springer.com/9789811034558

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

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().