Latent unbalancedness in three-way gravity models
研究发现，用于三维重力模型伪泊松估计的面板数据常因无信息观测冗余而隐含不平衡，这种潜在不平衡会放大Weidner和Zylkin（2021）研究的推断问题。
Many panel data sets used for Pseudo-Poisson estimation of three-way gravity models are implicitly unbalanced because uninformative observations are redundant for the estimation. We show with real data as well as simulations that this phenomenon, which we call latent unbalancedness, amplifies the inference problem recently studied by Weidner and Zylkin (2021).