IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v230y2023ics0165176523002872.html
   My bibliography  Save this article

A flexible cost share approach to markup estimation

Author

Listed:
  • Raval, Devesh

Abstract

Under the production approach to markup estimation, the markup is the output elasticity of any variable input divided by the input’s share of revenue. However, output elasticities vary across producers due to non-neutral technological differences. I develop a flexible cost share estimator to account for such heterogeneity when estimating the output elasticity. This estimator generates markups that are similar when estimated with different inputs.

Suggested Citation

  • Raval, Devesh, 2023. "A flexible cost share approach to markup estimation," Economics Letters, Elsevier, vol. 230(C).
    • Handle: RePEc:eee:ecolet:v:230:y:2023:i:c:s0165176523002872
    DOI: 10.1016/j.econlet.2023.111262
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176523002872
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2023.111262?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jan De Loecker & Frederic Warzynski, 2012. "Markups and Firm-Level Export Status," American Economic Review, American Economic Association, vol. 102(6), pages 2437-2471, October.
    2. Ulrich Doraszelski & Jordi Jaumandreu, 2018. "Measuring the Bias of Technological Change," Journal of Political Economy, University of Chicago Press, vol. 126(3), pages 1027-1084.
    3. Ezra Oberfield & Devesh Raval, 2021. "Micro Data and Macro Technology," Econometrica, Econometric Society, vol. 89(2), pages 703-732, March.
    4. Jaumandreu, Jordi & Doraszelski, Ulrich, 2019. "Using Cost Minimization to Estimate Markups," CEPR Discussion Papers 14114, C.E.P.R. Discussion Papers.
    5. Lucia Foster & John Haltiwanger & Chad Syverson, 2008. "Reallocation, Firm Turnover, and Efficiency: Selection on Productivity or Profitability?," American Economic Review, American Economic Association, vol. 98(1), pages 394-425, March.
    6. Hall, Robert E, 1988. "The Relation between Price and Marginal Cost in U.S. Industry," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 921-947, October.
    7. Zhang, Hongsong, 2019. "Non-neutral technology, firm heterogeneity, and labor demand," Journal of Development Economics, Elsevier, vol. 140(C), pages 145-168.
    8. Lucia Foster & John C. Haltiwanger & C. J. Krizan, 2001. "Aggregate Productivity Growth: Lessons from Microeconomic Evidence," NBER Chapters, in: New Developments in Productivity Analysis, pages 303-372, National Bureau of Economic Research, Inc.
    9. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    10. Jan De Loecker & Jan Eeckhout & Gabriel Unger, 2020. "The Rise of Market Power and the Macroeconomic Implications [“Econometric Tools for Analyzing Market Outcomes”]," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(2), pages 561-644.
    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. Daniel Berkowitz & Shuichiro Nishioka, "undated". "The Growth of Firms, Markets and Rents: Evidence from China," Working Papers 24-01, Department of Economics, West Virginia University.
    2. Emir Malikov & Shunan Zhao & Jingfang Zhang, 2024. "A System Approach to Structural Identification of Production Functions with Multi-Dimensional Productivity," Advances in Econometrics, in: Essays in Honor of Subal Kumbhakar, volume 46, pages 211-263, Emerald Group Publishing Limited.
    3. Bond, Steve & Hashemi, Arshia & Kaplan, Greg & Zoch, Piotr, 2021. "Some unpleasant markup arithmetic: Production function elasticities and their estimation from production data," Journal of Monetary Economics, Elsevier, vol. 121(C), pages 1-14.
    4. van Vlokhoven, Has, 2022. "Decomposing the Rise in Markups," Other publications TiSEM 0b616f62-13a7-46f2-b285-9, Tilburg University, School of Economics and Management.
    5. Sampi Bravo,James Robert Ezequiel & Jooste,Charl & Vostroknutova,Ekaterina, 2021. "Identification Properties for Estimating the Impact of Regulation on Markups and Productivity," Policy Research Working Paper Series 9523, The World Bank.
    6. R. Monin & M. Suarez Castillo, 2020. "Product switching, market power and distance to core competency," Documents de Travail de l'Insee - INSEE Working Papers g2020-06, Institut National de la Statistique et des Etudes Economiques.
    7. Alexander S. Kritikos & Alexander Schiersch & Caroline Stiel, 2022. "The productivity shock in business services," Small Business Economics, Springer, vol. 59(3), pages 1273-1299, October.
    8. Shuichiro Nishioka & Mari Tanaka, 2022. "The Scope of Variable Inputs and Markup Estimates," Working Papers 23-01, Department of Economics, West Virginia University.
    9. Jaumandreu, Jordi & Doraszelski, Ulrich, 2019. "Using Cost Minimization to Estimate Markups," CEPR Discussion Papers 14114, C.E.P.R. Discussion Papers.
    10. Pham, Hoang, 2023. "Trade reform, oligopsony, and labor market distortion: Theory and evidence," Journal of International Economics, Elsevier, vol. 144(C).
    11. Qizheng Gao & Jianqing Zhang & Guo Chen, 2023. "Firm heterogeneity, biased technological change, and total factor productivity: Evidence from China," Journal of Productivity Analysis, Springer, vol. 60(2), pages 147-177, October.
    12. Jan De Loecker & Jan Eeckhout & Gabriel Unger, 2020. "The Rise of Market Power and the Macroeconomic Implications [“Econometric Tools for Analyzing Market Outcomes”]," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(2), pages 561-644.
    13. Alexander S. Kritikos & Alexander Schiersch & Caroline Stiel, 2021. "The Productivity Puzzle in Business Services," Discussion Papers of DIW Berlin 1960, DIW Berlin, German Institute for Economic Research.
    14. Jan De Loecker & Catherine Fuss & Johannes Van Biesebroeck, 2018. "Markup and price dynamics:linking micro to macro," Working Paper Research 357, National Bank of Belgium.
    15. Ensar Yılmaz & Zeynep Kaplan, 2022. "Heterogeneity of market power: firm-level evidence," Economic Change and Restructuring, Springer, vol. 55(2), pages 1207-1228, May.
    16. Chen Yeh & Claudia Macaluso & Brad Hershbein, 2022. "Monopsony in the US Labor Market," American Economic Review, American Economic Association, vol. 112(7), pages 2099-2138, July.
    17. Jaumandreu, Jordi & Lin, Shuheng, 2018. "Prices under Innovation: Evidence from Manufacturing Firms," CEPR Discussion Papers 13146, C.E.P.R. Discussion Papers.
    18. Geoffrey Barrows & Hélène Ollivier & Ariell Reshef, 2023. "Production Function Estimation with Multi-Destination Firms," CESifo Working Paper Series 10716, CESifo.
    19. David Van Dijcke, 2022. "On the Non-Identification of Revenue Production Functions," Papers 2212.04620, arXiv.org, revised Oct 2023.
    20. Kosuke Aoki & Yoshihiko Hogen & Kosuke Takatomi, 2023. "Price Markups and Wage Setting Behavior of Japanese Firms," Bank of Japan Working Paper Series 23-E-5, Bank of Japan.

    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:eee:ecolet:v:230:y:2023:i:c:s0165176523002872. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.