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PRODEST: Stata module for production function estimation based on the control function approach

Author

Listed:
  • Gabriele Rovigatti

    (University of Rome Tor Vergata)

  • Vincenzo Mollisi

    (University of Rome Tor Vergata)

Programming Language

Stata

Abstract

prodest is a new and comprehensive Stata module for production function estimation based on the control function approach. It includes Olley-Pakes (OP), Levinshon-Petrin (LP), Wooldridge (WRDG) and Ackerberg-Caves-Frazer (ACF) estimation techniques, plus a brand new methodology (Mollisi-Rovigatti, MR) in order to better deal with short panels. Its basic usage is similar to that of existing modules like opreg or levpet, but adds many features to control the optimization procedures and address estimation issues - gross output vs. value added, endogenous variables, attrition in the data.

Suggested Citation

  • Gabriele Rovigatti & Vincenzo Mollisi, 2016. "PRODEST: Stata module for production function estimation based on the control function approach," Statistical Software Components S458239, Boston College Department of Economics, revised 28 Jul 2020.
    • Handle: RePEc:boc:bocode:s458239
    Note: This module should be installed from within Stata by typing "ssc install prodest". 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.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/p/prodest.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/p/prodest_p.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/p/prodest.sthlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/p/prodest_p.sthlp
    File Function: help file
    Download Restriction: no
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    Citations

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    Cited by:

    1. Daniel Gurara & Dawit Tessema, 2018. "Losing to Blackouts: Evidence from Firm Level Data," IMF Working Papers 2018/159, International Monetary Fund.
    2. Grigorios Spanos, 2019. "Firm organization and productivity across locations," Post-Print hal-02271020, HAL.
    3. Martino Pelli & Jeanne Tschopp & Natalia Bezmaternykh & Kodjovi M Eklou, 2019. "In the Eye of the Storm: Firms and Capital Destruction in India," Cahiers de recherche 11-2019, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    4. Sourafel Girma & Holger Görg, 2022. "Productivity effects of processing and ordinary export market entry: A time‐varying treatments approach," Review of International Economics, Wiley Blackwell, vol. 30(3), pages 836-853, August.
    5. Charlie Joyez, 2018. "Interaction between firm-level and host-country characteristics and multinationals' integration choices," Working Papers DT/2018/03, DIAL (Développement, Institutions et Mondialisation).
    6. Martino Pelli & Jeanne Tschopp & Natalia Bezmaternykh & Kodjovi M Eklou, 2020. "In the Eye of the Storm: Firms, Putty-Clay and Capital Destruction," Diskussionsschriften dp2012, Universitaet Bern, Departement Volkswirtschaft.
    7. Anders Gustafsson & Patrik Gustavsson Tingvall & Daniel Halvarsson, 2020. "Subsidy Entrepreneurs: an Inquiry into Firms Seeking Public Grants," Journal of Industry, Competition and Trade, Springer, vol. 20(3), pages 439-478, September.

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