A tail of three occasionally-binding constraints: a modelling approach to GDP-at-Risk

Staff working papers set out research in progress by our staff, with the aim of encouraging comments and debate.
Published on 16 July 2021

Staff Working Paper No. 931

By David Aikman, Kristina Bluwstein and Sudipto Karmakar

We build a semi-structural New Keynesian model to study the drivers of macroeconomic tail risk (‘GDP-at-Risk’). Our model features three key non-linearities: a lower bound on nominal interest rates; a credit crunch in bank loan supply when bank capital depletes; and deleveraging by borrowers when debt service burdens become excessive. These non-linearities can interact to amplify GDP-at-Risk: for example, when debt burdens rise sufficiently, this increases the risk of debt deleveraging but also that of a credit crunch and hitting the effective lower bound. We simulate a persistent inflation shock to analyse how these interactions might operate at this juncture.

This version was updated in January 2023.

A tail of three occasionally-binding constraints: a modelling approach to GDP-at-Risk