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

Author

Listed:
  • Federico Belotti

    (Tor Vergata University)

  • Silvio Daidone

    (Tor Vergata University)

  • Vincenzo Atella

    (Bank of Italy)

  • Giuseppe Ilardi

    (Tor Vergata University)

Programming Language

Stata

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).

Suggested Citation

  • Federico Belotti & Silvio Daidone & Vincenzo Atella & Giuseppe Ilardi, 2013. "SFCROSS: Stata module for cross-sectional stochastic frontier models estimation," Statistical Software Components S457635, Boston College Department of Economics, revised 01 Jun 2013.
    • Handle: RePEc:boc:bocode:s457635
    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.
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    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/s/sfcross.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/sfcross_p.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/sfcross.sthlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/sfcross_postestimation.sthlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/l/lsfcross.mlib
    File Function: Mata object library
    Download Restriction: no
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    Citations

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    Cited by:

    1. Jan Kluge, 2018. "Sectoral diversification as insurance against economic instability," Journal of Regional Science, Wiley Blackwell, vol. 58(1), pages 204-223, January.

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