IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Sequence analysis using Stata

Listed author(s):
  • Christian Brzinsky-Fay



  • Ulrich Kohler



Sequences are ordered lists of elements. A typical example is the sequence of bases in DNA. Other examples are sequences of employment stages during a lifetime or individual party preferences over time. Sequence analysis include techniques to handle, describe, and, most importantly, compare sequences. Sequences are most commonly used by geneticists but not as commonly by social scientists. This disparity is surprising, as sequence data are readily available for the social sciences. In fact, all data from panel studies can be regarded as sequence data. Nevertheless, social scientists relatively seldom use panel data for sequence analysis. The first aim of the presentation therefore is to illustrate a typical research topic that can be dealt with sequence analysis. The second part will then describe a bundle of user-written Stata programs for sequence analysis, including a Mata algorithm for performing optimal matching with the so-called Needleman–Wunsch algorithm.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: no

File URL:
Download Restriction: no

Paper provided by Stata Users Group in its series German Stata Users' Group Meetings 2006 with number 07.

in new window

Date of creation: 24 May 2006
Handle: RePEc:boc:dsug06:07
Contact details of provider: Web page:

More information through EDIRC

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:boc:dsug06:07. 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: (Christopher F Baum)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.