Reassessing the dependence between economic growth and financial conditions since 1973

被引:0
|
作者
Chernis, Tony [1 ]
Coe, Patrick J. [2 ]
Vahey, Shaun P. [3 ]
机构
[1] Bank Canada, Ottawa, ON, Canada
[2] Carleton Univ, Ottawa, ON, Canada
[3] Univ Warwick, Coventry, W Midlands, England
关键词
copula modelling; quantile regression; vulnerable growth; QUANTILE REGRESSION;
D O I
10.1002/jae.2937
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:260 / 267
页数:8
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