IDEAS home Printed from https://ideas.repec.org/p/ucr/wpaper/202405.html
   My bibliography  Save this paper

Econometric Inference Using Hausman Instruments

Author

Listed:
  • Jinyong Hahn

    (UCLA)

  • Zhipeng Liao

    (UCLA)

  • Nan Liu

    (Xiamen University)

  • Ruoyao Shi

    (Department of Economics, University of California Riverside)

Abstract

We examine econometric inferential issues with Hausman instruments. The instrumental variable (IV) estimator based on Hausman instrument has a built-in correlation across observations, which may render the textbook-style standard error invalid. We develop a standard error that is robust to these problems. Clustered standard error is not always valid, but it can be a good pragmatic compromise to deal with the interlinkage problem if Hausman instrument is to be used in econometric models in the tradition of Berry, Levinsohn, and Pakes (1995).

Suggested Citation

  • Jinyong Hahn & Zhipeng Liao & Nan Liu & Ruoyao Shi, 2024. "Econometric Inference Using Hausman Instruments," Working Papers 202405, University of California at Riverside, Department of Economics.
  • Handle: RePEc:ucr:wpaper:202405
    as

    Download full text from publisher

    File URL: https://economics.ucr.edu/repec/ucr/wpaper/202405.pdf
    File Function: First version, 2024
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    BLP; Hausman instrument Judge instrument; Stable convergence; Uniformly valid inference;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

    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:ucr:wpaper:202405. 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: Kelvin Mac (email available below). General contact details of provider: https://edirc.repec.org/data/deucrus.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.