Five lessons for applied researchers from twenty years of common correlated effects estimation
提炼了共同相关效应（CCE）文献中的五个实用教训，概述其框架及在实证面板数据研究中受欢迎的原因，帮助研究者避免常见误区。
This article distills the vast literature on Common Correlated Effects (CCE), initiated by the seminal contribution of Pesaran (2006), into five practical lessons. We provide a concise overview of the CCE framework and describe the reasons for its popularity in empirical (macro-) panel data research. The lessons we draw focus on aspects that have received substantial methodological attention, but remain underappreciated in empirical work.