| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5075807 | Information Economics and Policy | 2014 | 7 Pages |
Abstract
Using a dataset of Texas Instruments (TI) calculator auctions on eBay, we estimate the impact of the number of bidders on the winning bid. We highlight the possible endogeneity associated with using the number of observed bidders. We tackle this problem by employing approaches involving instrumental variables. We introduce a novel instrumental variable, the closing interval between successive auctions. Estimates from the two-stage least squares (2SLS) regression are over three times those from an ordinary least squares (OLS) regression.
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Authors
Ilke Onur, Malathi Velamuri,