Revisiting vulnerable growth in the Euro Area: Identifying the role of financial conditions in the distribution
利用变量选择方法，在欧元区小样本数据中识别影响GDP分布不同部分的关键变量，特别是金融状况的作用，对研究欧元区经济脆弱性的学者和政策制定者有参考价值。
Growth-at-Risk modelling has been a cornerstone for research and policymaking recently as a way to model tail risk in the macroeconomy. However, the majority of the research has been almost exclusively been done on US data. The aim of this paper is to utilise a variable selection framework to identify which variables are key in capturing the different parts of the GDP distribution for the Euro Area. Importantly this paper uses a methodology that can handle variable selection task in small sample settings.