IDEAS home Printed from https://ideas.repec.org/a/oup/emjrnl/v27y2024i1p84-106..html
   My bibliography  Save this article

Identifying the elasticity of substitution with biased technical change: a structural panel GMM estimator

Author

Listed:
  • Thomas von Brasch
  • Arvid Raknerud
  • Trond C Vigtel

Abstract

Summary:This paper provides a structural panel GMM (P-GMM) estimator of the elasticity of substitution between capital and labour that does not depend on external instruments, and which can be applied in the presence of biased technical change. We identify the conditions under which P-GMM is a consistent estimator and compare it to a fixed effects estimator. Using a Monte Carlo study, we find that the P-GMM estimator is nearly unbiased provided the number of time periods (T) is not too small. We show analytically how the small-T bias is related to metrics of weak identification. In an application on manufacturing firms in Norway, we estimate the elasticity of substitution to be 1.9 using the P-GMM and 1.0 using the fixed effects estimator. Neglecting simultaneity may thus lead to the conclusion that capital and labour are complements or can be described by Cobb–Douglas technology, when, in fact, they are substitutes.

Suggested Citation

  • Thomas von Brasch & Arvid Raknerud & Trond C Vigtel, 2024. "Identifying the elasticity of substitution with biased technical change: a structural panel GMM estimator," The Econometrics Journal, Royal Economic Society, vol. 27(1), pages 84-106.
  • Handle: RePEc:oup:emjrnl:v:27:y:2024:i:1:p:84-106.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ectj/utad020
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:oup:emjrnl:v:27:y:2024:i:1:p:84-106.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/resssea.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.