Reducing the replication time for structural estimations: A successful replication of “An Anatomy of International Trade” using GPU computing
用GPU计算和Python重新实现算法，成功复制了EKK（2011）关于法国制造业企业的研究，并将模型应用于中国数据，发现模型能解释大部分观察到的模式。
Abstract Eaton, Kortum, and Kramarz (2011) (EKK) discovered empirical patterns from French manufacturing firms that a baseline firm heterogeneity model could not explain. The authors proposed and estimated a model that closely matches the patterns observed in French data. This paper successfully replicates their findings using author‐provided data, re‐implementing their algorithms in Python and leveraging graphics processing unit computing to significantly boost computational speed. Applying the model to Chinese manufacturing data, despite differences in context, showed that the model explains most observed patterns well.