We apply network theory to study auction outcomes in the fine art market. Using a unique historical data set, of London-based art auctions that took place between 1741 and 1913, we investigate the drivers of strategic network formation between dealers (buyers) and sellers and the effect of...

Using a unique historical data set, we show the value of expertise and reputation during the evolution of the art market. First, we illustrate how market dynamics encourage the entry of dealers with heterogeneous characteristics. Second, our results provide evidence that relatively larger...