SFCROSS: Stata module for cross-sectional stochastic frontier models estimation

Federico Belotti, Silvio Daidone, Vincenzo Atella and Giuseppe Ilardi

Statistical Software Components from Boston College Department of Economics

Abstract: The -sfcross- command mirrors the official -frontier- command functionality, adding new features such as: i ) the estimation of Normal-Gamma models via Simulated Maximum Likelihood (Greene 2003); ii ) the estimation of the Normal-Truncated Normal model proposed by Wang (2002) in which both the location and the scale parameters of the inefficiency distribution can be expressed as a function of exogenous covariates; and iii ) the opportunity to manage complex survey data characteristics (via the -svyset- command).

Language: Stata
Requires: Stata version 11
Keywords: frontier estimation; stochastic frontier (search for similar items in EconPapers)
Date: 2013-04-16, Revised 2013-06-01
Note: This module should be installed from within Stata by typing "ssc install sfcross". 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 (1)

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/s/sfcross.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/sfcross_p.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/sfcross.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/s/sfcross_postestimation.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/l/lsfcross.mlib Mata object library (application/x-stata)

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:s457635

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 ().