IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v4y2004i2p113-123.html

Production function estimation in Stata using inputs to control for unobservables

Author

Listed:
  • Amil Petrin

    (University of Chicago)

  • Brian P. Poi

    (StataCorp)

  • James Levinsohn

    (University of Michigan)

Abstract

A key issue in the estimation of production functions is the correlation between unobservable productivity shocks and input levels. Profit-maximizing firms respond to positive productivity shocks by expanding output, which requires additional inputs. Negative shocks lead firms to pare back output, decreasing their input usage. Olley and Pakes (1996) develop an estimator that uses investment as a proxy for these unobservable shocks. More recently, Levinsohn and Petrin (2003a) introduce an estimator that uses intermediate inputs as proxies, arguing that intermediates may respond more smoothly to productivity shocks. This paper reviews Levinsohn and Petrin's approach and introduces a Stata command that implements it. Copyright 2004 by StataCorp LP.

Suggested Citation

  • Amil Petrin & Brian P. Poi & James Levinsohn, 2004. "Production function estimation in Stata using inputs to control for unobservables," Stata Journal, StataCorp LLC, vol. 4(2), pages 113-123, June.
    • Handle: RePEc:tsj:stataj:v:4:y:2004:i:2:p:113-123
    Note: Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/software/sj4-2/st0060/
    Download Restriction: no
    File URL: http://www.stata-journal.com/sjpdf.html?articlenum=st0060
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Junichi Yamasaki, 2017. "Railroads, Technology Adoption, and Modern Economic Development: Evidence from Japan," ISER Discussion Paper 1000, Institute of Social and Economic Research, The University of Osaka.
    2. Guerini, Mattia & Nesta, Lionel & Ragot, Xavier & Schiavo, Stefano, 2024. "Zombification of the economy? Assessing the effectiveness of French government support during COVID-19 lockdown," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 263-280.
    3. Spyros Arvanitis & Florian Seliger & Martin Wörter, 2019. "Wie wichtig ist Wissensakquisition im Ausland für Innovation und Produktivität in der Schweiz?," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 13(2), pages 26-37, June.
    4. Bin, Peng & Chen, Xiaolan & Fracasso, Andrea & Tomasi, Chiara, 2018. "Resource allocation and productivity across provinces in China," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 103-113.
    5. Ensar Yılmaz & Zeynep Kaplan, 2022. "Heterogeneity of market power: firm-level evidence," Economic Change and Restructuring, Springer, vol. 55(2), pages 1207-1228, May.
    6. Florin Maican & Matilda Orth, 2017. "Productivity Dynamics and the Role of ‘Big-Box’ Entrants in Retailing," Journal of Industrial Economics, Wiley Blackwell, vol. 65(2), pages 397-438, June.
    7. Marcel van den Berg & Charles van Marrewijk, 2017. "Imports and productivity: the impact of geography and factor intensity," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 26(4), pages 425-450, May.
    8. Geoffrey Barrows & Hélène Ollivier & Ariell Reshef, 2023. "Production Function Estimation with Multi-Destination Firms," CESifo Working Paper Series 10716, CESifo.
    9. Toshihiro Okubo & Eiichi Tomiura, 2019. "Regional variations in exporters’ productivity premium: Theory and evidence," Review of International Economics, Wiley Blackwell, vol. 27(3), pages 803-821, August.
    10. Fernandes, Ana M. & Isgut, Alberto E., 2005. "Learning-by-doing, learning-by-exporting, and productivity : evidence from Colombia," Policy Research Working Paper Series 3544, The World Bank.
    11. Tianjiao Zhao & Xiang Xiao & Qinghui Dai, 2021. "Transportation Infrastructure Construction and High-Quality Development of Enterprises: Evidence from the Quasi-Natural Experiment of High-Speed Railway Opening in China," Sustainability, MDPI, vol. 13(23), pages 1-23, December.
    12. Giovanni Calice & Levent Kutlu & Ming Zeng, 2021. "Understanding US firm efficiency and its asset pricing implications," Empirical Economics, Springer, vol. 60(2), pages 803-827, February.
    13. Emanuele Forlani & Ralf Martin & Giordano Mion & Mirabelle Muûls, 2023. "Unraveling Firms: Demand, Productivity and Markups Heterogeneity," The Economic Journal, Royal Economic Society, vol. 133(654), pages 2251-2302.
    14. Mary Amiti & Jozef Konings, 2007. "Trade Liberalization, Intermediate Inputs, and Productivity: Evidence from Indonesia," American Economic Review, American Economic Association, vol. 97(5), pages 1611-1638, December.
    15. Yuan, Li & Rao, Siqi & Yang, Shenggang & Dai, Pengyi, 2023. "Does equity market openness increase productivity? the dual effects of Shanghai-Hong Kong stock Connect program in China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    16. Mai Huong Giang & Tran Dang Xuan & Bui Huy Trung & Mai Thanh Que & Yuichiro Yoshida, 2018. "Impact of Investment Climate on Total Factor Productivity of Manufacturing Firms in Vietnam," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    17. Rodríguez-Pose, Andrés & Tselios, Vassilis & Winkler, Deborah & Farole, Thomas, 2013. "Geography and the Determinants of Firm Exports in Indonesia," World Development, Elsevier, vol. 44(C), pages 225-240.
    18. Driffield Nigel & Temouri Yama, 2014. "Inward Investment and the Drivers of Post Recession Recovery in Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(6), pages 775-799, December.
    19. Philippe Martin & Thierry Mayer & Florian Mayneris, 2008. "Spatial Concentration and Firm-Level Productivity in France," Sciences Po publications 6858, Sciences Po.
    20. Mohamed Amara & Khaled Thabet, 2019. "Firm and regional factors of productivity: a multilevel analysis of Tunisian manufacturing," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 63(1), pages 25-51, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tsj:stataj:v:4:y:2004:i:2:p:113-123. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.