Modeling and estimating returns to seller reputation with unobserved heterogeneity in online auctions
This study provides an alternative approach that takes account of the unobserved effects of each seller under a sample selection framework. Empirical findings, after converting the Yahoo! Japan Auctions dataset into unbalanced panel data, show that seller reputation remains an important factor for buyers when bidding on items, while the sample data confirm the unobserved heterogeneity of sellers and the sample selection problem.
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