In empirical studies of sequential auctions of identical objects prices have been found to decline. We study auctions of ancient Chinese porcelain recovered from shipwrecks. In these auctions there are very long sequences of lots of identical objects. We find that the average price decline is smaller in long sequences. It is especially large for the first pair of lots auctioned; it is also larger when the price of the previous lot was larger than (the upper bound of the range of) the pre-sale estimate of the previous lot and when the number of items in lots that follow each other increases. As a consequence, it appears that sellers may have some control over the sequence of prices and therefore on their revenue. Our results point to the fact that a sequence of lots each of which contains the same number of items generates more revenue than lots with varying number of items.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. 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.
Publisher Info
Paper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number
25.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Bernhardt, Dan & Scoones, David, 1993.
"A Note on Sequential Auctions,"
Working Papers
829, California Institute of Technology, Division of the Humanities and Social Sciences.
[Downloadable!]
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
Did you know? Citation analysis on IDEAS includes online papers that are freely accessible and whose text could be automatically analyzed, currently about 210000 papers.