IDEAS home Printed from https://ideas.repec.org/p/lec/leecon/09-16.html

The Nonexistence of Instrumental Variables

Author

Listed:
  • Stephen Hall

  • P.A.V.B. Swamy
  • George S. Tavlas

Abstract

The method of instrumental variables (IV) and the generalized method of moments (GMM) and their applications to the estimation of errors-in-variables and simultaneous equations models in econometrics require data on a sufficient number of instrumental variables which are (insert space)both exogeneous and relevant. We argue that in general such instruments (weak or strong) cannot exist.

Suggested Citation

  • Stephen Hall & P.A.V.B. Swamy & George S. Tavlas, 2009. "The Nonexistence of Instrumental Variables," Discussion Papers in Economics 09/16, Division of Economics, School of Business, University of Leicester.
    • Handle: RePEc:lec:leecon:09/16
    as

    Download full text from publisher

    File URL: https://www.le.ac.uk/economics/research/RePEc/lec/leecon/dp09-16.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. Hall, Stephen G. & Kenjegaliev, Amangeldi & Swamy, P.A.V.B. & Tavlas, George S., 2013. "Measuring currency pressures: The cases of the Japanese yen, the Chinese yuan, and the UK pound," Journal of the Japanese and International Economies, Elsevier, vol. 29(C), pages 1-20.
    2. Hall Stephen G. & Kenjegaliev Amangeldi & Swamy P. A. V. B. & Tavlas George S., 2013. "The forward rate premium puzzle: a case of misspecification?1)," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(3), pages 265-279, May.
    3. Ma, Shuang & Sun, Churen & Tian, Guoqiang, 2011. "Minimum wage and export: evidence from Chinese firm-level data," MPRA Paper 35098, University Library of Munich, Germany.

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

    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:lec:leecon:09/16. 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: Abbie Sleath (email available below). General contact details of provider: https://edirc.repec.org/data/deleiuk.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.