We estimate a workhorse dynamic stochastic general equilibrium (DSGE) model with an occasionally binding borrowing constraint. First, we propose a new specification of the occasionally binding constraint, where the transition between the unconstrained and constrained states is a stochastic...

Recent experience with interest rates hitting the effective lower bound and agents facing binding borrowing constraints has emphasised the importance of understanding the behaviour of an economy in which some variables may be restricted at times. The extended path algorithm is a commonly used...

This paper replicates the study "A Model of Secular Stagnation: Theory and Quantitative Evaluation" by Eggertsson et al. (2019) using the Dynare toolkit. Replication is important as it confirms the results of the original article, provides a user-friendly version using Dynare (Adjemian et al.,...

Forward guidance as a tool of unconventional monetary policy can be highly efficient to support aggregate demand and to steer the economy out of the zero lower bound (ZLB). However, the effect that stimulates the economy can give rise to a time-inconsistency problem: if the central bank promises...

The 2008 financial crisis has shown that financial busts can influence the real economy. However, there is less evidence to suggest that the same holds for financial booms. Using a Markov-Switching vector autoregressive model and euro area data, I show that financial booms tend to be less...

Occasionally binding constraints are part of the economic landscape: for instance recent experience with the global financial crisis has highlighted the gravity of the lower bound constraint on interest rates; mortgagors are subject to more stringent borrowing conditions when credit growth has...

On the one hand, recently a number of theoretical models have highlighted the role of credit market frictions in propagating and amplifying macroeconomic shocks. On the other hand, it still seems an open question whether this role is quantitatively significant. Our paper tries to fill this gap....

We construct the first algorithm for the perfect foresight solution of otherwise linear models with occasionally binding constraints, with fixed terminal conditions, that is guaranteed to return a solution in finite time, if one exists. We also provide a proof of the inescapability of the...

The toolkit adapts a first-order perturbation approach and applies it in a piecewise fashion to solve dynamic models with occasionally binding constraints. Our examples include a real business cycle model with a constraint on the level of investment and a New Keynesian model subject to the zero...