IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_8667.html
   My bibliography  Save this paper

Nonparametric Identification of Production Function, Total Factor Productivity, and Markup from Revenue Data

Author

Listed:
  • Hiroyuki Kasahara
  • Yoichi Sugita

Abstract

Commonly used methods of production function estimation assume that a firm’s output quantity can be observed as data, but typical datasets contain only revenue, not output quantity. We examine the nonparametric identification of production function from revenue data when a firm faces a general nonparametric demand function under imperfect competition. Under standard assumptions, we provide the constructive nonparametric identification of various firm-level objects: gross production function, total factor productivity, price markups over marginal costs, output prices, output quantities, a demand system, and a representative consumer’s utility function.

Suggested Citation

  • Hiroyuki Kasahara & Yoichi Sugita, 2020. "Nonparametric Identification of Production Function, Total Factor Productivity, and Markup from Revenue Data," CESifo Working Paper Series 8667, CESifo.
  • Handle: RePEc:ces:ceswps:_8667
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp8667.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Paul Schrimpf & Michio Suzuki & Hiroyuki Kasahara, 2015. "Identification and Estimation of Production Function with Unobserved Heterogeneity," 2015 Meeting Papers 924, Society for Economic Dynamics.
    2. HOSONO Kaoru & TAKIZAWA Miho & YAMANOUCHI Kenta, 2022. "Foreign Direct Investment and Markups," Discussion papers 22009, Research Institute of Economy, Trade and Industry (RIETI).
    3. Panon, Ludovic, 2022. "Labor share, foreign demand and superstar exporters," Journal of International Economics, Elsevier, vol. 139(C).
    4. Matsuyama, Kiminori & Ushchev, Philip, 2022. "Destabilizing effects of market size in the dynamics of innovation," Journal of Economic Theory, Elsevier, vol. 200(C).
    5. repec:hal:spmain:info:hdl:2441/5j3i17uo7399t940lrt6h6n545 is not listed on IDEAS
    6. HOSONO Kaoru & TAKIZAWA Miho & YAMANOUCHI Kenta, 2022. "Financial Constraints and Markups," Discussion papers 22012, Research Institute of Economy, Trade and Industry (RIETI).
    7. Matsuyama, Kiminori & Ushchev, Philip, 2022. "Selection and Sorting of Heterogeneous Firms through Competitive Pressures," CEPR Discussion Papers 17092, C.E.P.R. Discussion Papers.
    8. KIKUCHI Shinnosuke, 2024. "Trends in National and Local Market Concentration in Japan: 1980-2020," Discussion papers 24049, Research Institute of Economy, Trade and Industry (RIETI).
    9. repec:hal:wpspec:info:hdl:2441/5j3i17uo7399t940lrt6h6n545 is not listed on IDEAS

    More about this item

    Keywords

    nonparametric identification; production function; markup; total factor productivity; revenue;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ces:ceswps:_8667. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.html .

    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.