We propose a new approach for the efficient and robust Bayesian estimation of medium- and large-scale DSGE models with occasionally binding constraints. At its core lies the Ensemble Kalman filter, a novel nonlinear recursive filter, which allows for fast likelihood approximations even for...

We build a business cycle model characterized by endogenous firm dynamics, where banks may prefer debt renegotiation, i.e. non-performing exposures, to outright borrowers' default. Debt renegotiations per se do not have adverse effects in the event of financial crisis episodes, but a large share...

Recent research shows that time-varying volatility plays a crucial role in nonlinear modeling. Contributing to this literature, we suggest a DSGE-GARCH approach that allows for straightforward computation of DSGE models with time-varying volatility, where the volatility component is formulated...

Optimal monetary policy studies typically rely on a single structural model and identification of model-specific rules that minimize the unconditional volatilities of inflation and real activity. In our proposed approach, we take a large set of structural models and look for the model-robust...

This paper evaluates the macroeconomic effects of foreign and domestic central bank government bond purchases on the Swedish economy before and during the Corona pandemic using a small open economy DSGE model with segmented asset markets. In this model, the effects of foreign and domestic...

Based on a non-linear equilibrium model of the banking sector with an occasionally-binding equity issuance constraint, we show that the economic impact of changes in bank capital requirements depends on the state of the macro-financial environment. In "normal" states where banks do not face...