IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Estimating polling accuracy in multiparty elections using surveybias

Listed author(s):
  • Kai Arzheimer

    ()

    (Johannes Gutenberg University)

  • Jocelyn Evans

    ()

    (University of Leeds)

Any rigorous discussion of bias in opinion surveys requires a scalar measure of survey accuracy. Martin, Traugott, and Kennedy (2005, Public Opin- ion Quarterly 69: 342–369) propose such a measure A for the two-party case, and Arzheimer and Evans (2014, Political Analysis 22: 31–44) demonstrate how mea- sures A′i, B, and Bw for the more common multiparty case can be derived. We describe the commands surveybias, surveybiasi, and surveybiasseries, which enable the fast computation of these binomial and multinomial measures of bias in opinion surveys. While the examples are based on pre-election surveys, the methodology applies to any multinomial variable whose true distribution in the population is known (for example, through census data). Copyright 2016 by StataCorp LP.

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: http://www.stata-journal.com/article.html?article=st0428
File Function: link to article purchase
Download Restriction: no

Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 16 (2016)
Issue (Month): 1 (March)
Pages: 139-158

as
in new window

Handle: RePEc:tsj:stataj:v:16:y:2016:i:1:p:139-158
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj16-1/st0428/
Contact details of provider: Web page: http://www.stata-journal.com/

Order Information: Web: http://www.stata-journal.com/subscription.html

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:tsj:stataj:v:16:y:2016:i:1:p:139-158. 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)

or (Lisa Gilmore)

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.