IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v24y2017i21p1511-1518.html
   My bibliography  Save this article

GMM estimation of panel data models with time-varying slope coefficients

Author

Listed:
  • Yoshihiro Sato
  • Måns Söderbom

Abstract

A difference/system generalized method of moments (GMM) model that imposes time-constant coefficients is common in empirical studies using panel data. However, a rejection by the Sargan–Hansen test is sometimes a serious concern for researchers. We highlight the fact that the Sargan–Hansen test for GMM estimators applied to panel data is a joint test of valid orthogonality conditions and coefficient stability over time. A possible reason for a rejection is therefore that the slope coefficients vary over time. One solution is to estimate an empirical model in which the coefficients are time specific. We apply this solution to the system GMM estimator of simple nondynamic Cobb–Douglas production functions for a selection of Swedish industries and find that relaxing the assumption of constant slope coefficients results in more satisfactory outcomes of the Sargan–Hansen test.

Suggested Citation

  • Yoshihiro Sato & Måns Söderbom, 2017. "GMM estimation of panel data models with time-varying slope coefficients," Applied Economics Letters, Taylor & Francis Journals, vol. 24(21), pages 1511-1518, December.
    • Handle: RePEc:taf:apeclt:v:24:y:2017:i:21:p:1511-1518
    DOI: 10.1080/13504851.2017.1302053
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2017.1302053
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504851.2017.1302053?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.

    Citations

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


    Cited by:

    1. Timo Mitze & Nino Javakhishvili‐Larsen, 2020. "Graduate Migration and Early‐career Labor Market Outcomes: Do Education Programs and Qualification Levels Matter?," LABOUR, CEIS, vol. 34(4), pages 477-503, December.
    2. Sweta Sen & Narayan Chandra Nayak & William Kumar Mohanty, 2023. "Impact of tropical cyclones on sustainable development through loops and cycles: evidence from select developing countries of Asia," Empirical Economics, Springer, vol. 65(5), pages 2467-2498, November.

    More about this item

    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:taf:apeclt:v:24:y:2017:i:21:p:1511-1518. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.