SFKK: Stata module to estimate endogenous stochastic frontier models in the style of Karakaplan and Kutlu
Mustafa Karakaplan
Statistical Software Components from Boston College Department of Economics
Abstract:
sfkk fits endogenous stochastic production or cost frontier models following the methodology provided by Karakaplan and Kutlu (2015). sfkk provides estimators for the parameters of a linear model with a disturbance that is assumed to be a mixture of two components: a measure of inefficiency which is strictly nonnegative and a two-sided error term from a symmetric distribution. sfkk can handle endogenous variables in the frontier and/or the inefficiency, and the sfkk estimates outperform the standard frontier estimates that ignore endogeneity. See Karakaplan and Kutlu (2015) for a detailed explanation of their methodology and empirical analyses.
Language: Stata
Requires: Stata version 13.1 and estout from SSC (q.v.)
Keywords: endogeneity; endogenous stochastic frontier models; Karakaplan; Kutlu; production frontier; cost frontier (search for similar items in EconPapers)
Date: 2015-06-17, Revised 2016-10-27
Note: This module should be installed from within Stata by typing "ssc install sfkk". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/s/sfkk.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/sfkk_ml.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/sfkk.sthlp help file (text/plain)
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: https://EconPapers.repec.org/RePEc:boc:bocode:s458029
Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php
Access Statistics for this software item
More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().