论文标题
使用订单统计数据识别拍卖模型
Identification of Auction Models Using Order Statistics
论文作者
论文摘要
拍卖数据通常仅包含有关最具竞争力的竞标的信息，而不是所有竞标。由于顺序统计数据之间的依赖性，未观察到的异质性的通常的测量误差方法是不适用的。我们通过提供一组积极的识别结果来弥合这一差距。首先，我们表明使用两个连续的订单统计和一个仪器可识别具有离散未观察到的异质性的对称拍卖。其次，我们将结果扩展到具有未知竞争和未观察到的异质性的上升拍卖。
Auction data often contain information on only the most competitive bids as opposed to all bids. The usual measurement error approaches to unobserved heterogeneity are inapplicable due to dependence among order statistics. We bridge this gap by providing a set of positive identification results. First, we show that symmetric auctions with discrete unobserved heterogeneity are identifiable using two consecutive order statistics and an instrument. Second, we extend the results to ascending auctions with unknown competition and unobserved heterogeneity.
