Drawing Conclusions from Non-Random Samples: A Comment on “Race and Art: Prices for African American Painters and their Contemporaries” by Richard Agnello
AbstractIn a recent paper in the Journal of Black Studies, “Race and Art: Prices for African American Painters and Their Contemporaries,” economist Richard Agnello examines price differentials between paintings sold at auction from 1972 to 2004 for a set of 16 African American artists, and a group of white artists identified as similar contemporaries. In this short paper we examine Agnello’s control group of white artists and confirm that this is a non-randomly selected sample of artists that are, on average, quantifiably more famous than the black artists in Agnello’s treatment group. In light of this selection bias, we discuss the difficulty of disentangling the effects of race and fame on auction prices.
Download InfoIf 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.
Bibliographic InfoPaper provided by College of the Holy Cross, Department of Economics in its series Working Papers with number 0906.
Length: 12 pages
Date of creation: May 2009
Date of revision:
Contact details of provider:
Fax: (508) 793-3708
Web page: http://www.holycross.edu/departments/economics/website/
More information through EDIRC
African American painters; economics of art; sample bias;
Find related papers by JEL classification:
- Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature
- J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, and Immigrants; Non-labor Discrimination
- J70 - Labor and Demographic Economics - - Labor Discrimination - - - General
This paper has been announced in the following NEP Reports:
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statistics
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Victor Matheson).
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.