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Production function estimation in Stata using the Ackerberg–Caves–Frazer method

Author

Listed:
  • Miguel Manjón

    (Rovira i Virgili University)

  • Juan Mañez

    (Universitat de València)

Abstract

We present a new e-class command, acfest, that implements the method of Ackerberg, Caves, and Frazer (2015, Econometrica 83: 2411–2451) to estimate production functions. This method deals with the functional dependence problems that may arise in the methods proposed by Olley and Pakes (1996, Econometrica 64: 1263–1297) and, particularly, Levinsohn and Petrin (2003, Review of Economic Studies 70: 317–341) (implemented in Stata by Yasar, Raciborski, and Poi [2008, Stata Journal 8: 221–231] and Petrin, Poi, and Levinsohn [2004, Stata Journal 4: 113–123], respectively). In particular, the acfest command yields (nonlinear, robust) generalized method of moments estimates using a Mata function and two specification tests (Wald and Sargan–Hansen). After estimation, predict provides the estimated productivity of the firms in the sample. Copyright 2016 by StataCorp LP.

Suggested Citation

  • Miguel Manjón & Juan Mañez, 2016. "Production function estimation in Stata using the Ackerberg–Caves–Frazer method," Stata Journal, StataCorp LP, vol. 16(4), pages 1046-1059, December.
    • Handle: RePEc:tsj:stataj:v:16:y:2016:i:4:p:1046-1059
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    Citations

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    Cited by:

    1. Youngho Kang, 2021. "How you pay matters: performance-related pay and learning by exporting," Empirical Economics, Springer, vol. 60(5), pages 2455-2475, May.
    2. Kuosmanen, Natalia & Pajarinen, Mika & Heshmati, Almas, 2024. "An Analysis of Digitalization and Firm Performance in Finland’s Private Service Industries," ETLA Working Papers 117, The Research Institute of the Finnish Economy.
    3. Baum, Christopher F & Lööf, Hans & Stephan, Andreas & Viklund-Ros, Ingrid, 2020. "The impact of offshoring on innovation and productivity: Evidence from Swedish manufacturing firms," Working Paper Series in Economics and Institutions of Innovation 486, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    4. Baum, Christopher F & Lööf, Hans & Perez, Luis & Stephan, Andreas, 2018. "Offshoring and Innovation Capabilities: Evidence from Swedish Manufacturing," Working Paper Series in Economics and Institutions of Innovation 469, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    5. Tran, Hien Thu, 2019. "Institutional quality and market selection in the transition to market economy," Journal of Business Venturing, Elsevier, vol. 34(5), pages 1-1.
    6. Beerli, Andreas & Weiss, Franziska J. & Zilibotti, Fabrizio & Zweimüller, Josef, 2020. "Demand forces of technical change evidence from the Chinese manufacturing industry," China Economic Review, Elsevier, vol. 60(C).
    7. Doungdao Mahakitsiri & Wisarut Suwanprasert, 2023. "Who are pure exporters?," The World Economy, Wiley Blackwell, vol. 46(6), pages 1759-1781, June.
    8. Christopher F. Baum & Hans Lööf & Andreas Stephan & Ingrid Viklund-Ros, 2020. "The impact of offshoring on productivity and innovation: Evidence from Swedish manufacturing firms," Boston College Working Papers in Economics 1014, Boston College Department of Economics, revised 19 Apr 2021.
    9. Abdoulaye Kané, 2022. "Measurement of total factor productivity: Evidence from French construction firms," EconomiX Working Papers 2022-9, University of Paris Nanterre, EconomiX.

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