IDEAS home Printed from https://ideas.repec.org/a/bpj/germec/v11y2010i4p404-417.html

The Grunfeld Data at 50

Author

Listed:
  • Kleiber Christian

    (Universität Basel,Basel, Switzerland)

  • Zeileis Achim

    (Universität Innsbruck,Innsbruck, Austria)

Abstract

This paper revisits Grunfeld’s well-known investment data, one of the most widely used datasets in all of applied econometrics, on the occasion of their 50th anniversary. It presents, apparently for the first time after the publication of the original Chicago Ph.D. thesis, the full dataset, points out errors and inconsistencies in several currently available versions, and also revisits a number of empirical studies from the literature of the last five decades. Our findings provide a cautionary tale on the use of widely known data and underline the need for mandatory data and code archives.

Suggested Citation

  • Kleiber Christian & Zeileis Achim, 2010. "The Grunfeld Data at 50," German Economic Review, De Gruyter, vol. 11(4), pages 404-417, December.
    • Handle: RePEc:bpj:germec:v:11:y:2010:i:4:p:404-417
    DOI: 10.1111/j.1468-0475.2010.00513.
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1468-0475.2010.00513.
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1111/j.1468-0475.2010.00513.?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 look for a different version below or

    for a different version of it.

    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. Moundigbaye, Mantobaye & Messemer, Clarisse & Parks, Richard W. & Reed, W. Robert, 2020. "Bootstrap methods for inference in the Parks model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 14, pages 1-18.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

    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:bpj:germec:v:11:y:2010:i:4:p:404-417. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyterbrill.com .

    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.