The study looked at how credit supply shocks affect the economy using different statistical models. They found that a specific model using an instrumental variable performed well in estimating the impact of credit shocks. Another model with sign restrictions also worked in some cases. However, models that include credit shock measures as variables were sensitive to errors. When applied to US data, it was challenging to identify credit supply shocks in practice.