Division of the Humanities and Social Sciences California Institute of Technology Pasadena, California 91125 to Score or Not to Score? Estimates of a Sponsored Search Auction Model

نویسندگان

  • Yu-Wei Hsieh
  • Matthew Shum
  • Sha Yang
چکیده

We estimate a structural model of a sponsored search auction model. To accommodate the “position paradox”, we relax the assumption of decreasing click volumes with position ranks, which is often assumed in the literature. Using data from “Website X”, one of the largest online marketplaces in China, we find that merchants of different qualities adopt different bidding strategies: high quality merchants bid more aggressively for informative keywords, while low quality merchants are more likely to be sorted to the top positions for vague keywords. Counterfactual evaluations show that the price trend becomes steeper after moving to a score-weighted generalized second price auction, with much higher prices obtained for the top position but lower prices for the other positions. Overall there is only a very modest change in total revenue from introducing popularity scoring, despite the intent in bid scoring to reward popular merchants with price discounts. JEL classification numbers: D44; D47; C11; C15

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تاریخ انتشار 2015