IDEAS home Printed from
   My bibliography  Save this article

Translation from narrative text to standard codes variables with Stata


  • Belotti, Federico
  • Depalo, Domenico


In this article, we describe screening, a new Stata command for data management that can be used to examine the content of complex narrative-text variables to identify one or more user-defined keywords. The command is useful when dealing with string data contaminated with abbreviations, typos, or mistakes. A rich set of options allows a direct translation from the original narrative string to a user-defined standard coding scheme. Moreover, screening is flexible enough to facilitate the merging of information from different sources and to extract or reorganize the content of string variables.

Suggested Citation

  • Belotti, Federico & Depalo, Domenico, 2010. "Translation from narrative text to standard codes variables with Stata," Stata Journal, StataCorp LP, vol. 10(3), pages 1-24.
  • Handle: RePEc:ags:stataj:159034

    Download full text from publisher

    File URL:
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    1. Rafal Raciborski, 2008. "kountry: A Stata utility for merging cross-country data from multiple sources," Stata Journal, StataCorp LP, vol. 8(3), pages 390-400, September.
    2. repec:ags:stataj:122601 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. repec:tsj:stataj:v:18:y:2018:i:4:p:761-764 is not listed on IDEAS
    2. repec:ags:stataj:267099 is not listed on IDEAS
    3. Bornmann, Lutz & Ozimek, Adam, 2012. "Stata commands for importing bibliometric data and processing author address information," Journal of Informetrics, Elsevier, vol. 6(4), pages 505-512.

    More about this item


    Research Methods/ Statistical Methods;


    Access and download statistics


    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:ags:stataj:159034. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.