Economics at your fingertips  

Productivity and efficiency estimation: A semiparametric stochastic cost frontier approach

Kai Sun (), Subal Kumbhakar () and Ragnar Tveterås ()

European Journal of Operational Research, 2015, vol. 245, issue 1, 194-202

Abstract: This paper proposes a flexible stochastic cost frontier panel data model where the technology parameters are unknown smooth functions of firm- and time-effects, which non-neutrally shift the cost frontier. The model decomposes inefficiency into firm and time-specific components and productivity change into inefficiency change, technical change and scale change. We then apply the proposed methodology to the Norwegian salmon production data and analyze technical efficiency as well as productivity changes.

Keywords: Economics; Cost function; Semiparametric smooth coefficient model; Stochastic frontier model; Decomposition (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (20) Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

Related works:
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:

DOI: 10.1016/j.ejor.2015.03.003

Access Statistics for this article

European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Haili He ().

Page updated 2021-01-29
Handle: RePEc:eee:ejores:v:245:y:2015:i:1:p:194-202