Standard Errors as Weights in Multilateral Price Indexes
提出用加权最小二乘法得到的双边价格指数标准误作为可靠性度量，解决现有方法忽视数据缺口的问题，并用103国农业生产数据展示了加权方法的优势。
Various multilateral methods for computing price indexes use bilateral comparisons as their basic building blocks. Some give greater weight to those bilateral comparisons deemed more reliable. However, none of the existing reliability measures adjusts for gaps in the data. We show how the standard errors on bilateral price indexes derived using weighted least squares provide reliability measures that solve this problem. We then apply our methodology to a dataset on agricultural production in 103 countries. Our results demonstrate the appeal of weighted methods and the importance of using weights based on a comprehensive measure of reliability.