Measuring Credit Procyclicality: A New Database
50 Pages Posted: 22 Sep 2021
Date Written: September 2021
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.
Keywords: Credit Booms, Credit cycle, Credit Gap, Cross-countries Comparison, Global financial cycle, Hodrick-Prescott, Singular Spectrum Analysis
JEL Classification: E32, E51, F42
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