Reassessing the dependence between economic growth and financial conditions since 1973
验证了Adrian等人关于美国经济增长与金融状况关系的分位数回归方法，并将样本扩展至2021年第三季度，发现新冠疫情导致关键系数减弱，进而提出基于排序数据的稳健分位数回归分析。
Summary Adrian, Boyarchenko and Giannone ((2019), ABG) adapt quantile regression (QR) methods to examine the relationship between US economic growth and financial conditions. We confirm their empirical findings, using their methodology and their pre‐2016 sample. Mindful of the importance of the Covid‐19 pandemic, we extend the sample to 2021Q3 and find attenuation of the key estimated coefficients using ABG's empirical methods. Given the pandemic observations, we provide robust QR analysis of dependence based on ranked data and explain the relationship with extant copula modelling methods.