Stochastic Frontier Analysis: Foundations and Advances II

Subal Kumbhakar, Christopher Parmeter and Valentin Zelenyuk

Chapter 9 in Handbook of Production Economics, 2022, pp 371-408 from Springer

Abstract: Abstract This chapter continues to review some of the most important developments in the econometric estimation of productivity and efficiency surrounding the stochastic frontier model. As in the previous chapter, we continue to place an emphasis on highlighting recent research and providing broad coverage, while details are left for further reading in the rich (although not exhaustive) references at the end of this chapter.

Keywords: Efficiency; Productivity; Panel data; Endogeneity; Nonparametric; Determinants of inefficiency; Quantile; Identification; C10; C13; C14; C50 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (5)

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 I (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_11

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

DOI: 10.1007/978-981-10-3455-8_11

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 ().