Why not to aggregate up: the influence of aggregation on the ordering of distributions
Researchers in many fields of economics often compare distributions using some criterion or another of inequality, poverty or welfare. It is standard practice to base such comparative analysis on aggregated data. But will the results obtained be dependent on the degree of aggregation of the data? This paper argues, on the basis of a simulation study, that they will be since the probability of obtaining a ranking can increase rapidly with the degree of aggregation. Aggregation exaggerates the differences between similar distributions and overlooks crossings at the lower tail. A change in research strategy where possible and statistical inference used in its place.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||Oct 1993|
|Date of revision:|
|Contact details of provider:|| Web page: http://sticerd.lse.ac.uk/_new/publications/default.asp|
When requesting a correction, please mention this item's handle: RePEc:cep:stidar:02. 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: ()
If references are entirely missing, you can add them using this form.