Advanced Search
MyIDEAS: Login

Pitfalls in the analysis of complex surveys using Stata

Contents:

Author Info

  • Carlos Guerrero de Lizardi

    (Tecnológico de Monterrey)

Abstract

The purpose of this presentation is to show the common mistakes in the analysis of complex surveys. In Mexico, we have a significant number of complex surveys available, which cover (among other issues) household income and expenditures, the labor market, consumer confidence, public security perception, and family life. The heart of the matter is the following: if you ignore the sampling design of a complex survey (basically, the probability weights, the clustering, and the stratification), inevitably you will get an erroneous estimation of whatever you are dealing with. Stata is a fully survey-capable software that takes into account the sampling design. I explore Stata’s survey methods capabilities and, as far as I know, illustrate the best practices in the analysis of complex surveys for the following topics: descriptive statistics, variance estimation methods, hypothesis testing, and econometric models.

Download Info

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://fmwww.bc.edu/repec/msug2011/Gurrero_lara.pptx
Download Restriction: no

Bibliographic Info

Paper provided by Stata Users Group in its series Mexican Stata Users' Group Meetings 2011 with number 06.

as in new window
Length:
Date of creation: 23 Jul 2011
Date of revision:
Handle: RePEc:boc:msug11:06

Contact details of provider:
Web page: http://www.stata.com/meeting/mexico11
More information through EDIRC

Related research

Keywords:

This paper has been announced in the following NEP Reports:

References

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

Citations

Lists

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

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:boc:msug11:06. 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.