Discussion Paper Details

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Title: SVARs With Occasionally-Binding Constraints

Author(s): Boragan Aruoba, Marko Mlikota, Frank Schorfheide and Sergio Villalvazo

Publication Date: March 2021

Keyword(s): Bayesian inference, effective lower bound, limited dependent variables, sequential Monte Carlo methods, shadow rate and Structural VARs

Programme Area(s): Monetary Economics and Fluctuations

Abstract: We develop a structural VAR in which an occasionally-binding constraint generates censoring of one of the dependent variables. Once the censoring mechanism is triggered, we allow some of the coefficients for the remaining variables to change. We show that a necessary condition for a unique reduced form is that regression functions for the non-censored variables are continuous at the censoring point and that parameters satisfy some mild restrictions. In our application the censored variable is a nominal interest rate constrained by an effective lower bound (ELB). According to our estimates based on U.S. data, once the ELB becomes binding, the coefficients in the inflation equation change significantly, which translates into a change of the inflation responses to (unconventional) monetary policy and demand shocks. Our results suggest that the presence of the ELB is indeed empirically relevant for the propagation of shocks. We also obtain a shadow interest rate that shows a significant accommodation in the early parts of the Great Recession, followed by a mild and steady accommodation until liftoff in 2016.

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Bibliographic Reference

Aruoba, B, Mlikota, M, Schorfheide, F and Villalvazo, S. 2021. 'SVARs With Occasionally-Binding Constraints'. London, Centre for Economic Policy Research.