G2TT
来源类型Discussion paper
规范类型论文
来源IDDP16519
DP16519 Measuring credit procyclicality: a new database
Anne-Laure Delatte; Vincent Bouvatier; Pierre-Nicolas Rehault
发表日期2021-09-06
出版年2021
语种英语
摘要Today, the data available to estimate the credit cycle involve a trade-off between country coverage and frequency. In addition, there are pending methodological issues to estimate credit trend and cyclical components. To address these limits, we build a new database on credit metrics that relaxes the trade-off and includes credit procyclicality measures along three alternative methods- HP filter, the modified HP filter and basic SSA. The credit gaps in our database are statistically consistent with bank credit gaps estimated with BIS data and they have the advantage of being available for 163 countries instead of 43 countries. Armed with this new and expanded data, we revisit classic empirical questions in the literature.
主题International Macroeconomics and Finance ; Monetary Economics and Fluctuations
关键词Credit cycle Credit gap Cross-countries comparison Credit booms Global financial cycle Hodrick-prescott Singular spectrum analysis
URLhttps://cepr.org/publications/dp16519
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/545474
推荐引用方式
GB/T 7714
Anne-Laure Delatte,Vincent Bouvatier,Pierre-Nicolas Rehault. DP16519 Measuring credit procyclicality: a new database. 2021.
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