Econometrics of auctions by least squares
研究如何用普通最小二乘法（OLS）处理拍卖数据，发现对常见的估值分布参数化形式，改进的OLS能无偏估计结构参数，且计算比现有方法更简单，还讨论了在对称独立私人价值框架外的适用性。
Abstract I investigate using the method of ordinary least squares (OLS) on auction data. I find that for parameterizations of the valuation distribution that are common in empirical practice, an adaptation of OLS provides unbiased estimators of structural parameters. Under symmetric independent private values, adapted OLS is a specialization of the method of moments strategy of Laffont, Ossard and Vuong ( 1995 ). In contrast to their estimator, here simulation is not required, leading to a computationally simpler procedure. The paper also discusses using estimation results for inference on the shape of the valuation distribution, and applicability outside the symmetric independent private values framework. Copyright © 2008 John Wiley & Sons, Ltd.