近日，经济学院朱萸副教授合作论文a simple, robust identification approach for first-price auctions在journal of econometrics上正式发表，合作者为美联储的serafin grundl。
内容摘要：
this paper proposes a new approach to the identification of first-price auctions that is robust to overbidding, but at the same time remains contiguous with the canonical point-identification approach of guerre et al. (2000) (gpv) and its simple estimators. we show that a weak identifying restriction allows us to reinterpret the gpv estimates as a bound. we demonstrate that the identifying restriction holds in a set of commonly used auction models that can generate overbidding and is satisfied in the bid data from a laboratory experiment. we illustrate the approach in applications to laboratory data and field data. we recommend that practitioners continue to follow the gpv approach, but interpret the estimates as a bound in applications where they are concerned about overbidding.
这篇论文提出了一种识别第一价格拍卖的新方法，该方法对过度出价具有稳健性，同时仍与guerre等（2000）（简称gpv）的经典点识别方法及其简约估计量保持连续性。我们证明，一个较弱的识别约束条件使我们能够将gpv估计值重新解释为一个边界。研究表明，该识别约束在一组可能产生过度出价的常用拍卖模型中成立，并且在一项实验室实验的出价数据中得到验证。我们通过实验室数据和实地数据的应用实例展示了这一方法。建议实践者在继续采用gpv方法时，若对过度出价问题存在担忧，应将估计结果解读为一个边界。
作者简介：
朱萸，经济学院副教授，研究领域为货币经济学和计量经济学。目前主要关注电子货币的设计和其对宏观经济的影响以及货币政策与企业投资的关系。
研究成果发表在《journal of political economy》《journal of econometrics》《review of economic dynamics》《quantitative economics》《journal of money credit and banking》《journal of economics and dynamic control》等国际顶级经济学期刊上。