We investigate the predictive power of hedonic models compared to that of pre-auction estimates in the context of art auctions. We use a panel data consisting of abstract paintings and a methodology that employs the estimates as instrumental variables in the framework of a hedonic regression model. The results suggest that hedonic models have no better predictive power than that of the estimates. Pre-auction estimates appear to fully account for the available public information on works of art.
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Article provided by Economics Bulletin in its journal Economics Bulletin.
Volume (Year): 26 (2006) Issue (Month): 5 () Pages: 1-10 Download reference. The following formats are available: HTML,
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Handle: RePEc:ebl:ecbull:v:26:y:2006:i:5:p:1-10
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