IDEAS home Printed from https://ideas.repec.org/p/stg/wpaper/2020_01.html
   My bibliography  Save this paper

More replications do get published on top 5 general interest economics journal articles

Author

Listed:
  • Jan H. Höffler
  • Francisco Rosales Marticorena

Abstract

In their 2019 study “Replication studies in economics — How many and which papers are chosen for replication, and why?”, the authors conclude that “The replication probability is lower for articles published in top 5 economics journals.” This result is based on missampling. The authors’ own data shows that replication studies published in the top 50 economics journals refer clearly more often to studies published in the top 5 general interest journals in economics than to the other 45 economics journals.

Suggested Citation

  • Jan H. Höffler & Francisco Rosales Marticorena, 2020. "More replications do get published on top 5 general interest economics journal articles," Replication Working Papers 1/2020, Institut für Statistik und Ökonometrie, Wirtschaftswissenschaftliche Fakultät, Georg-August-Universität Göttingen, Replication project.
    • Handle: RePEc:stg:wpaper:2020_01
    as

    Download full text from publisher

    File URL: http://replication.uni-goettingen.de/CfSReplicationWorkingPapers/CfS%20WP%202020-1%20More%20replications%20do%20get%20published%20on%20top%205%20general%20interest%20economics%20journals.pdf
    File Function: CfS Replication Working Paper, October 2020
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Replication; Sample selection bias; Economics of science; Science policy; Economic methodology;
    All these keywords.

    JEL classification:

    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

    NEP fields

    This paper has been announced in the following NEP Reports:

    Lists

    This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:
    1. More replications do get published on top 5 general interest economics journal articles (CfS 2020) in ReplicationWiki

    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:stg:wpaper:2020_01. 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: Jan H. Höffler (email available below). General contact details of provider: https://edirc.repec.org/data/isgoede.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.